CN103167093A - Filling method of mobile phone email address - Google Patents
Filling method of mobile phone email address Download PDFInfo
- Publication number
- CN103167093A CN103167093A CN201110405884.5A CN201110405884A CN103167093A CN 103167093 A CN103167093 A CN 103167093A CN 201110405884 A CN201110405884 A CN 201110405884A CN 103167093 A CN103167093 A CN 103167093A
- Authority
- CN
- China
- Prior art keywords
- email address
- address
- mobile phone
- history table
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Information Transfer Between Computers (AREA)
Abstract
Description
技术领域 technical field
本发明涉及手机业务处理技术,具体地说,是涉及一种手机邮箱地址的填充方法。 The invention relates to a mobile phone service processing technology, in particular to a method for filling a mobile phone mailbox address.
背景技术 Background technique
手机邮箱业务是指把到达邮件服务器的邮件准确、及时地推送到用户手机上的一种业务。用户可以通过手机对邮件进行及时处理,如:回复、转发、浏览、抄送等。 The mobile phone mailbox service refers to a service that accurately and timely pushes the mail arriving at the mail server to the user's mobile phone. Users can process emails in a timely manner through mobile phones, such as replying, forwarding, browsing, cc, etc.
当前,很多手机都支持手机邮箱业务,但是用户在使用手机邮箱发送邮件时,需要逐一输入收件人邮箱地址。这种操作方式存在下述缺陷:首先,对用户要求较高,要求用户记住收件人邮箱地址,或者每次输入时均需要对照一个写在纸上的完整的邮箱地址;其次,由于邮箱地址由多个数字、字母、特殊符号等组成,用户在输入时需要在各种输入法之间进行切换,不仅操作极其繁琐,而且还极容易输入错误,导致用户在输入邮箱地址一项操作上浪费大量的时间和精力,尤其是在存在多个收件人时,上述问题尤为突出,严重降低了用户使用的便利性和舒适性,限制了手机邮箱业务的发展。 At present, many mobile phones support the mobile mailbox service, but when the user uses the mobile mailbox to send emails, he needs to input recipient mailbox addresses one by one. This mode of operation has the following defects: firstly, it has high requirements for users, and requires the user to remember the recipient's email address, or it needs to check a complete email address written on paper every time it is input; secondly, due to the mailbox The address is composed of multiple numbers, letters, special symbols, etc. Users need to switch between various input methods when inputting. Not only is the operation extremely cumbersome, but it is also very easy to input errors, which causes users to enter the email address in one operation. A lot of time and energy are wasted, especially when there are multiple recipients, the above-mentioned problems are particularly prominent, which seriously reduces the convenience and comfort of users and limits the development of mobile mailbox services.
发明内容 Contents of the invention
本发明的目的在于提供一种手机邮箱地址的填充方法,该方法可根据用户输入的关键字自动搜索符合要求的邮箱地址供用户选择,从而实现手机邮箱地址的快速填充。 The purpose of the present invention is to provide a method for filling mobile phone mailbox addresses, which can automatically search for qualified mailbox addresses for users to choose according to keywords input by users, thereby realizing rapid filling of mobile phone mailbox addresses.
为实现上述发明目的,本发明采用下述技术方案予以实现: In order to achieve the above-mentioned purpose of the invention, the present invention adopts the following technical solutions to achieve:
一种手机邮箱地址的填充方法,所述方法包括下述步骤: A method for filling an e-mail address of a mobile phone, said method comprising the steps of:
a1、获取邮箱地址编辑窗口中用户输入的邮箱地址; a1. Obtain the email address entered by the user in the email address editing window;
b1、判断所获取的邮箱地址是否为有效地址; b1. Determine whether the obtained email address is a valid address;
c1、在邮箱地址为无效地址时,将邮箱地址与存储在手机中的邮箱地址历史记录表中的记录进行比较,获得相匹配的邮箱地址历史记录; c1. When the email address is an invalid address, compare the email address with the records in the email address history record table stored in the mobile phone to obtain a matching email address history record;
d1、将相匹配的邮箱地址历史记录读取至匹配地址列表窗口; d1. Read the matching email address history record to the matching address list window;
e1、从匹配地址列表窗口选择邮箱地址填充至邮箱地址编辑窗口,替代用户输入的邮箱地址。 e1. Select an email address from the matching address list window and fill it into the email address editing window to replace the email address entered by the user.
如上所述的手机邮箱地址的填充方法,在所述步骤c1中,将所述用户输入的邮箱地址作为关键字,利用该关键字与所述邮箱地址历史记录表中的记录进行比较,并将包含该关键字的邮箱地址历史记录作为相匹配的邮箱地址历史记录。 In the method for filling the email address of the mobile phone as described above, in the step c1, the email address input by the user is used as a keyword, and the keyword is compared with the records in the email address history record table, and the Email address histories that contain the keyword as matching email address histories.
如上所述的手机邮箱地址的填充方法,为简化处理过程,若所述步骤a1中获取的用户输入的邮箱地址为多个,则在所述步骤b1中,仅判断所获取的邮箱地址中的最后一个邮箱地址是否为有效地址。 In order to simplify the processing process of the method for filling the email address of the mobile phone as described above, if there are multiple email addresses input by the user obtained in the step a1, then in the step b1, only the email address among the email addresses obtained is judged Whether the last email address is a valid address.
如上所述的手机邮箱地址的填充方法,在所述步骤c1中,获得相匹配的邮箱地址历史记录之后,先存入匹配邮箱地址缓存区;在所述步骤d1中,从匹配邮箱地址缓存区将相匹配的邮箱地址历史记录读取至匹配地址列表窗口。 In the method for filling the email address of the mobile phone as described above, in the step c1, after obtaining the matching email address history record, it is first stored in the matching email address buffer; in the step d1, from the matching email address buffer Reads matching email address history into the Matched Address List window.
如上所述的手机邮箱地址的填充方法,为便于与手机平台相匹配,在所述步骤c1和所述步骤d1之间还包括下述步骤d10:用户输入调用匹配的邮箱地址历史记录的命令。 In order to facilitate matching with the mobile phone platform, the above-mentioned method for filling the email address of the mobile phone further includes the following step d10 between the step c1 and the step d1: the user inputs a command to call the matching email address history record.
如上所述的手机邮箱地址的填充方法,所述邮箱地址历史记录表中的记录为通过手机发送邮件后存储的邮箱地址。 In the method for filling email addresses of mobile phones as described above, the records in the email address history record table are email addresses stored after sending emails via mobile phones.
如上所述的手机邮箱地址的填充方法,所述邮箱地址历史记录表中的邮箱地址可通过下述步骤进行存储: As described above, the method for filling the email address of the mobile phone, the email address in the email address history record table can be stored through the following steps:
a2、邮件发送后,获取收件人邮箱地址作为当前邮箱地址; a2. After the email is sent, obtain the recipient's email address as the current email address;
b2、将当前邮箱地址写入邮箱地址历史记录表中。 b2. Write the current email address into the email address history record table.
如上所述的手机邮箱地址的填充方法,在所述步骤a2与所述步骤b2之间还包括下述步骤: The method for filling the email address of the mobile phone as described above further includes the following steps between the step a2 and the step b2:
b20、将当前邮箱地址与邮箱地址历史记录表中的记录相比较,并在当前邮箱地址不存在于邮箱地址历史记录表中时,执行步骤b2。 b20. Compare the current email address with the records in the email address history record table, and execute step b2 when the current email address does not exist in the email address history record table.
如上所述的手机邮箱地址的填充方法,考虑到手机平台存储容量不足的现状,在所述步骤b20和所述步骤b2之间还包括下述步骤: The method for filling the mobile phone mailbox address as described above, considering the insufficient storage capacity of the mobile phone platform, further includes the following steps between the step b20 and the step b2:
b21、判断所述邮箱地址历史记录表是否已存满;若已存满,删除邮箱地址历史记录表中的第一条记录,然后执行步骤b2,若未存满,直接执行步骤b2。 b21. Judging whether the email address history record table is full; if it is full, delete the first record in the email address history record table, and then execute step b2; if not, directly execute step b2.
如上所述的手机邮箱地址的填充方法,为尽可能少地占用手机资源,同时保证保存的邮箱地址在手机关机后不丢失,在所述步骤b2之后还包括下述步骤: The method for filling the email address of the mobile phone as mentioned above, in order to occupy the mobile phone resources as little as possible, and at the same time ensure that the saved email address is not lost after the mobile phone is turned off, the following steps are also included after the step b2:
c2、在所有当前邮箱地址全部写入邮箱地址历史记录表中后,将邮箱地址历史记录表中的所有记录存储到本地存储器中。 c2. After all the current email addresses are written into the email address history record table, store all the records in the email address history record table into the local memory.
与现有技术相比,本发明的优点和积极效果是:本发明允许用户输入邮箱地址的一部分,并将输入的部分邮箱地址作为关键字,匹配出用户可能需要的所有邮箱地址供用户选择,从而达到快速填充邮箱地址的目的,减少了冗余操作,加快了地址输入速度和邮件发送速度,方便了手机邮箱的使用,有利于手机邮箱业务的推广。 Compared with the prior art, the advantages and positive effects of the present invention are: the present invention allows the user to input a part of the email address, and uses the input part of the email address as a keyword to match all the email addresses that the user may need for the user to choose. In this way, the purpose of quickly filling email addresses is achieved, redundant operations are reduced, address input speed and email sending speed are accelerated, the use of mobile mailboxes is facilitated, and the promotion of mobile mailbox services is facilitated.
结合附图阅读本发明的具体实施方式后,本发明的其他特点和优点将变得更加清楚。 Other characteristics and advantages of the present invention will become clearer after reading the detailed description of the present invention in conjunction with the accompanying drawings.
附图说明 Description of drawings
图1是本发明手机邮箱地址的填充方法一个实施例的流程图; Fig. 1 is the flowchart of an embodiment of the filling method of mobile phone mailbox address of the present invention;
图2是图1实施例中保存邮箱地址的一个实施例的流程图。 Fig. 2 is a flow chart of an embodiment of storing email addresses in the embodiment of Fig. 1 .
具体实施方式 Detailed ways
下面结合附图和具体实施方式对本发明的技术方案作进一步详细的说明。 The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
本发明针对现有技术使用手机邮箱时、在输入邮箱地址操作中存在的操作繁琐、要求较高、容易错误输入等问题,提供了一种手机邮箱地址的填充方法。该方法通过获取用户输入的邮箱地址,并在邮箱地址为无效地址时,将邮箱地址作为关键字来处理,将其与已存储的邮箱地址历史记录进行比较,获得能够与用户输入的邮箱地址相匹配的邮箱地址历史记录,供用户从中选择出所需要的有效邮箱地址填充到邮箱地址编辑窗口作为实际的邮箱地址,从而达到快速、准确地填充邮箱地址的目的,简化了复杂的操作过程,避免了错误输入,加快了地址输入速度和邮件发送速度,方便了手机邮箱的使用。 The invention provides a method for filling mobile phone mailbox addresses, aiming at the problems of cumbersome operation, high requirements, easy wrong input and the like in the operation of inputting mailbox addresses in the prior art when using mobile phone mailboxes. This method obtains the email address entered by the user, and when the email address is an invalid address, treats the email address as a keyword, compares it with the stored email address history records, and obtains the email address that can be related to the email address entered by the user. Matching email address history records, for users to select the required effective email address and fill it into the email address editing window as the actual email address, so as to achieve the purpose of quickly and accurately filling email addresses, simplify the complicated operation process, and avoid Mis-input speeds up the speed of address input and mail sending, and facilitates the use of mobile mailboxes.
请参考图1,该图1所示为本发明手机邮箱地址的填充方法一个实施例的流程图。 Please refer to FIG. 1 , which is a flowchart of an embodiment of a method for filling a mobile phone email address according to the present invention.
如图1所示,该实施例具体采用下述流程实现手机邮箱地址的快速填充: As shown in Figure 1, this embodiment specifically adopts the following process to realize the rapid filling of the mobile phone email address:
步骤S101:流程开始。 Step S101: the process starts.
步骤S102:用户打开邮箱编辑窗口,输入邮箱地址。 Step S102: the user opens the mailbox edit window, and inputs the mailbox address.
在该实施例中,邮箱编辑窗口可以是收件人编辑窗口,也可以是抄送人编辑窗口及密送人编辑窗口。 In this embodiment, the mailbox editing window may be a recipient editing window, and may also be a CC editing window and a BCC editing window.
步骤S103:获取相应的邮箱地址。 Step S103: Obtain the corresponding email address.
也即获取邮箱地址编辑窗口中用户输入的邮箱地址,可以通过调用相应的接口函数获取邮箱地址。 That is, to obtain the email address entered by the user in the email address editing window, the email address can be obtained by calling the corresponding interface function.
步骤S104:判断所有用户输入的邮箱地址。 Step S104: Determine all email addresses input by the user.
用户输入的邮箱地址可能只有一个,也可能为多个,该实施例以用户输入多个邮箱地址为例,对所有用户输入的邮箱地址均进行判断,主要是判断邮箱地址是否为有效地址。判断时,可以根据长度、特定符号组合等来判断地址的有效性。比如,限定邮箱地址长度为3至15个字符,若不在该范围内的输入判断为无效地址。若为有效地址,则直接作为要发送的地址进行发送,而不进行后续的匹配选择。 There may be only one e-mail address input by the user, or there may be multiple e-mail addresses. This embodiment takes the user inputting multiple e-mail addresses as an example, and judges all e-mail addresses input by the user, mainly to determine whether the e-mail address is a valid address. When judging, the validity of the address can be judged according to the length, specific symbol combination, etc. For example, limit the length of the email address to 3 to 15 characters, and if the input is not within this range, it will be judged as an invalid address. If it is a valid address, it will be sent directly as the address to be sent without subsequent matching selection.
步骤S105:判断最后一个邮箱地址是否为无效地址。若是,执行步骤S106;若否,即认为最后一个邮箱地址为有效邮箱地址,转至步骤S112,结束邮箱地址填充流程。 Step S105: Determine whether the last email address is an invalid address. If yes, execute step S106; if not, consider the last email address as a valid email address, go to step S112, and end the email address filling process.
在该实施例中,在用户输入了多个邮箱地址的情况下,为了简化处理过程,不是每个无效地址均执行匹配和选择,而仅对最后一个地址进行处理,其他的无效地址将作为无效地址直接剔除。 In this embodiment, when the user has entered multiple email addresses, in order to simplify the processing process, not every invalid address is matched and selected, but only the last address is processed, and other invalid addresses will be treated as invalid The address is directly removed.
步骤S106:在最后一个邮箱地址为无效地址时,将最后一个邮箱地址与邮箱地址历史记录表中的各个记录进行比较。 Step S106: when the last email address is an invalid address, compare the last email address with each record in the email address history record table.
在该实施例中,邮箱地址历史记录表中的记录是通过手机发送邮件后存储的邮箱地址。其存储过程具体可参考图2及后面对图2的描述。在进行邮箱地址比较时,可将用户输入的无效邮箱地址作为关键字,利用该关键字与邮箱地址历史记录表中的记录进行逐一比较,将包含有关键字的邮箱地址历史记录作为与用户输入的邮箱地址相匹配的邮箱地址历史记录。 In this embodiment, the records in the email address history record table are email addresses stored after emails are sent by the mobile phone. For the storage process, please refer to FIG. 2 and the subsequent description of FIG. 2 . When comparing email addresses, the invalid email address entered by the user can be used as a keyword, and the keyword can be compared with the records in the email address history record table one by one, and the email address history record containing the keyword can be compared with the user input Email address history that matches the email address of .
步骤S107:判断是否找到匹配的邮箱地址历史记录。若找到,执行步骤S108;否则,转至步骤S112,结束邮箱地址填充流程。 Step S107: Determine whether a matching email address history record is found. If found, execute step S108; otherwise, go to step S112, and end the email address filling process.
步骤S108:在找到匹配的邮箱地址历史记录后,将其存入匹配邮箱地址缓存区。 Step S108: After finding the matching email address history record, store it in the matching email address buffer.
步骤S109:判断用户是否输入调用命令。若输入了调用命令,执行步骤S110;否则,转至步骤S112,结束邮箱地址填充流程。。 Step S109: Determine whether the user inputs a calling command. If the call command is input, execute step S110; otherwise, go to step S112, and end the email address filling process. .
该实施例为与手机平台相匹配,在实现邮箱地址快速填充时,要求用户执行相应的操作来触发所找到的相匹配的邮箱地址历史记录的显示,而不是直接显示。用户执行的操作可以是用户输入调用命令,例如可以通过设置一个确认按键,在用户点击确认按键后,触发后续操作。 In order to match the mobile phone platform, this embodiment requires the user to perform a corresponding operation to trigger the display of the found matching email address history records instead of directly displaying them when the email address is quickly filled. The operation performed by the user may be the user inputting a calling command. For example, a confirmation button may be set to trigger subsequent operations after the user clicks the confirmation button.
步骤S110:在用户触发了调用命令后,将所找到的所有相匹配的邮箱地址历史记录读取至匹配地址列表窗口,并打开,供用户进行选择。 Step S110: After the user triggers the call command, read all the found matching email address history records into the matching address list window, and open it for the user to select.
匹配地址列表窗口一般采用小于手机显示屏的屏幕窗口,显示几条匹配的邮箱地址。若相匹配的邮箱地址较多,可以在屏幕窗口中设置滚动条或上下按钮进行所有邮箱地址的分窗口显示。 The matching address list window generally adopts a screen window smaller than the display screen of the mobile phone to display several matching email addresses. If there are many matching email addresses, a scroll bar or up and down buttons can be set in the screen window to display all email addresses in separate windows.
步骤S111:用户从匹配地址列表窗口选择所需要的邮箱地址填充到邮箱地址编辑窗口,替代用户输入的邮箱地址,从而实现邮箱地址的快速填充。 Step S111: The user selects the desired email address from the matching address list window and fills it into the email address editing window, replacing the email address entered by the user, thereby realizing fast filling of email addresses.
步骤S112:流程结束。 Step S112: the process ends.
如前所述,邮箱地址历史记录表中的记录是通过手机发送邮件后存储的邮箱地址。具体来说,在用户通过手机发送邮件后,将通过调用相应接口函数自动获取所发送邮件对应的收件人邮箱地址,然后将其写入至邮箱地址历史记录表中。这里,收件人邮箱地址为包括抄送人及密送人在内的所有收件人的地址。具体实现流程可参考图2。 As mentioned above, the records in the email address history record table are the email addresses stored after sending emails through the mobile phone. Specifically, after the user sends an email through the mobile phone, the recipient's email address corresponding to the sent email will be automatically obtained by calling the corresponding interface function, and then written into the email address history record table. Here, the recipient email address is the address of all recipients including the CC and BCC. Refer to Figure 2 for the specific implementation process.
图2所示为图1实施例中保存邮箱地址的一个实施例的流程图。该图所示为将邮箱地址写入到邮箱地址历史记录表中、以便于实现上述图1实施例邮箱地址的快速填充。 FIG. 2 is a flow chart of an embodiment of storing email addresses in the embodiment of FIG. 1 . This figure shows that the email address is written into the email address history record table, so as to realize the rapid filling of the email address in the above-mentioned embodiment of FIG. 1 .
如图2所示,保存邮箱地址具体可采用下述流程来实现: As shown in Figure 2, saving the email address can be achieved through the following process:
步骤S201:流程开始。 Step S201: the process starts.
步骤S202:用户通过手机发送邮件。 Step S202: the user sends an email through the mobile phone.
步骤S203:获取收件人邮箱地址作为当前邮箱地址。 Step S203: Obtain the recipient's email address as the current email address.
在获取邮箱地址时,可以采用调用相应接口函数自动获取所发送邮件对应的收件人邮箱地址,而且,收件人邮箱地址为包括抄送人及密送人在内的所有收件人的地址。 When obtaining the email address, you can automatically obtain the recipient email address corresponding to the sent email by calling the corresponding interface function, and the recipient email address is the address of all recipients including the CC and BCC .
步骤S204:将当前邮箱地址与邮箱地址历史记录表中的各条记录进行比较。 Step S204: Compare the current email address with each record in the email address history record table.
若邮箱地址历史记录表中已经存在有记录,为避免进行重复写入,先将要保存的当前邮箱地址与各记录进行比较。若邮箱地址历史记录表中不存在记录,则可直接将要保存的当前邮箱地址写入即可。 If there are already records in the email address history record table, in order to avoid repeated writing, first compare the current email address to be saved with each record. If there is no record in the email address history record table, you can directly write the current email address to be saved.
步骤S205:判断当前邮箱地址是否已经存在于邮箱地址历史记录表中。若是,转至步骤S209;否则,执行步骤S206。 Step S205: Determine whether the current email address already exists in the email address history record table. If yes, go to step S209; otherwise, go to step S206.
步骤S206:判断邮箱地址历史记录表是否已经存满。若已经存满,执行步骤S207;否则,转至步骤S208。 Step S206: Determine whether the email address history record table is full. If it is full, execute step S207; otherwise, go to step S208.
考虑到手机存储容量有限,为不占用过多的存储空间,对邮箱地址历史记录表的存储容量进行了限定,例如,最多允许存储50条邮箱地址记录。而且,该实施例中,为便于对邮箱地址历史记录表进行更新,采用了下述步骤S207的处理方案。 Considering the limited storage capacity of the mobile phone, in order not to occupy too much storage space, the storage capacity of the email address history record table is limited. For example, a maximum of 50 email address records are allowed to be stored. Moreover, in this embodiment, in order to update the email address history record table, the following processing scheme of step S207 is adopted.
步骤S207:若邮箱地址历史记录表已存满,则删除第一条记录,然后将当前邮箱地址写入至邮箱地址历史记录表的最后一个位置,然后执行步骤S209。 Step S207: If the email address history record table is full, delete the first record, then write the current email address into the last position of the email address history record table, and then execute step S209.
步骤S208:在邮箱地址历史记录表未存满时,直接将要保存的当前邮箱地址写入邮箱地址历史记录表的空位置。一般的,是紧挨邮箱地址历史记录表中的最后一条记录依次写入,然后执行步骤S209。 Step S208: When the email address history record table is not full, directly write the current email address to be saved into the empty position of the email address history record table. Generally, it is sequentially written next to the last record in the email address history record table, and then step S209 is executed.
步骤S209:判断是否还有未比较的收件人邮箱地址。若是,执行步骤S210;否则,转至步骤S211。 Step S209: Determine whether there is an uncompared recipient email address. If yes, execute step S210; otherwise, go to step S211.
步骤S210:若还有未比较的收件人邮箱地址,则获取已发送邮件中的下一条收件人邮箱地址作为当前邮箱地址,然后转至步骤S204,继续执行与邮箱地址历史记录表中的各条记录相比较的过程。 Step S210: If there is still an uncompared recipient email address, then obtain the next recipient email address in the sent email as the current email address, then go to step S204, and continue to execute the The process of comparing records.
步骤S211:若所有的收件人邮箱地址全部比较完成,则将新的邮箱地址历史记录表中的所有记录存储到本地存储器中。 Step S211: If all recipient email addresses are compared, all records in the new email address history record table are stored in the local memory.
也就是,该实施例仅在将所有收件人邮箱地址全部按照上述过程处理完成并写入至邮箱地址历史记录表中之后,执行一次保存操作,将所有记录存储到本地存储器中,以简化操作过程,减少对手机资源的占用。由于将邮箱地址历史记录表保存在本地存储器中,在手机关机重启后,还可以重新获取之前存储的邮箱地址记录。 That is to say, in this embodiment, only after all recipient email addresses are processed according to the above process and written into the email address history record table, a save operation is performed to store all records in the local memory to simplify the operation process, reducing the occupation of mobile phone resources. Since the email address history record table is saved in the local memory, the previously stored email address records can be retrieved after the mobile phone is shut down and restarted.
本发明以手机平台为基础,在手机中实现了手机邮箱地址的快速填充,简化了用户邮箱地址的输入操作,提高了用户使用舒适性,有利于手机邮箱业务的推广。 Based on the mobile phone platform, the invention realizes fast filling of the mobile phone mailbox address in the mobile phone, simplifies the input operation of the user mailbox address, improves the comfort of the user, and is beneficial to the promotion of the mobile phone mailbox service.
以上实施例仅用以说明本发明的技术方案,而非对其进行限制;尽管参照前述实施例对本发明进行了详细的说明,对于本领域的普通技术人员来说,依然可以对前述实施例所记载的技术方案进行修改,或者对其中部分技术特征进行等同替换;而这些修改或替换,并不使相应技术方案的本质脱离本发明所要求保护的技术方案的精神和范围。 The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art can still understand the foregoing embodiments. Modifications are made to the technical solutions described, or equivalent replacements are made to some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions claimed in the present invention.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110405884.5A CN103167093A (en) | 2011-12-08 | 2011-12-08 | Filling method of mobile phone email address |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110405884.5A CN103167093A (en) | 2011-12-08 | 2011-12-08 | Filling method of mobile phone email address |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103167093A true CN103167093A (en) | 2013-06-19 |
Family
ID=48589825
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110405884.5A Pending CN103167093A (en) | 2011-12-08 | 2011-12-08 | Filling method of mobile phone email address |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103167093A (en) |
Cited By (107)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2889814A1 (en) * | 2013-12-26 | 2015-07-01 | Palantir Technologies, Inc. | System and method for detecting confidential information emails |
| US9286373B2 (en) | 2013-03-15 | 2016-03-15 | Palantir Technologies Inc. | Computer-implemented systems and methods for comparing and associating objects |
| US9348920B1 (en) | 2014-12-22 | 2016-05-24 | Palantir Technologies Inc. | Concept indexing among database of documents using machine learning techniques |
| US9392008B1 (en) | 2015-07-23 | 2016-07-12 | Palantir Technologies Inc. | Systems and methods for identifying information related to payment card breaches |
| US9390086B2 (en) | 2014-09-11 | 2016-07-12 | Palantir Technologies Inc. | Classification system with methodology for efficient verification |
| US9424669B1 (en) | 2015-10-21 | 2016-08-23 | Palantir Technologies Inc. | Generating graphical representations of event participation flow |
| US9483546B2 (en) | 2014-12-15 | 2016-11-01 | Palantir Technologies Inc. | System and method for associating related records to common entities across multiple lists |
| US9485265B1 (en) | 2015-08-28 | 2016-11-01 | Palantir Technologies Inc. | Malicious activity detection system capable of efficiently processing data accessed from databases and generating alerts for display in interactive user interfaces |
| US9514414B1 (en) | 2015-12-11 | 2016-12-06 | Palantir Technologies Inc. | Systems and methods for identifying and categorizing electronic documents through machine learning |
| US9619557B2 (en) | 2014-06-30 | 2017-04-11 | Palantir Technologies, Inc. | Systems and methods for key phrase characterization of documents |
| US9639580B1 (en) | 2015-09-04 | 2017-05-02 | Palantir Technologies, Inc. | Computer-implemented systems and methods for data management and visualization |
| US9652139B1 (en) | 2016-04-06 | 2017-05-16 | Palantir Technologies Inc. | Graphical representation of an output |
| US9671776B1 (en) | 2015-08-20 | 2017-06-06 | Palantir Technologies Inc. | Quantifying, tracking, and anticipating risk at a manufacturing facility, taking deviation type and staffing conditions into account |
| US9727622B2 (en) | 2013-12-16 | 2017-08-08 | Palantir Technologies, Inc. | Methods and systems for analyzing entity performance |
| US9727560B2 (en) | 2015-02-25 | 2017-08-08 | Palantir Technologies Inc. | Systems and methods for organizing and identifying documents via hierarchies and dimensions of tags |
| US9760556B1 (en) | 2015-12-11 | 2017-09-12 | Palantir Technologies Inc. | Systems and methods for annotating and linking electronic documents |
| US9767172B2 (en) | 2014-10-03 | 2017-09-19 | Palantir Technologies Inc. | Data aggregation and analysis system |
| US9792020B1 (en) | 2015-12-30 | 2017-10-17 | Palantir Technologies Inc. | Systems for collecting, aggregating, and storing data, generating interactive user interfaces for analyzing data, and generating alerts based upon collected data |
| US9817563B1 (en) | 2014-12-29 | 2017-11-14 | Palantir Technologies Inc. | System and method of generating data points from one or more data stores of data items for chart creation and manipulation |
| US9836694B2 (en) | 2014-06-30 | 2017-12-05 | Palantir Technologies, Inc. | Crime risk forecasting |
| US9852205B2 (en) | 2013-03-15 | 2017-12-26 | Palantir Technologies Inc. | Time-sensitive cube |
| US9870389B2 (en) | 2014-12-29 | 2018-01-16 | Palantir Technologies Inc. | Interactive user interface for dynamic data analysis exploration and query processing |
| US9875293B2 (en) | 2014-07-03 | 2018-01-23 | Palanter Technologies Inc. | System and method for news events detection and visualization |
| US9880987B2 (en) | 2011-08-25 | 2018-01-30 | Palantir Technologies, Inc. | System and method for parameterizing documents for automatic workflow generation |
| US9886525B1 (en) | 2016-12-16 | 2018-02-06 | Palantir Technologies Inc. | Data item aggregate probability analysis system |
| US9886467B2 (en) | 2015-03-19 | 2018-02-06 | Plantir Technologies Inc. | System and method for comparing and visualizing data entities and data entity series |
| US9891808B2 (en) | 2015-03-16 | 2018-02-13 | Palantir Technologies Inc. | Interactive user interfaces for location-based data analysis |
| US9898335B1 (en) | 2012-10-22 | 2018-02-20 | Palantir Technologies Inc. | System and method for batch evaluation programs |
| US9946738B2 (en) | 2014-11-05 | 2018-04-17 | Palantir Technologies, Inc. | Universal data pipeline |
| US9953445B2 (en) | 2013-05-07 | 2018-04-24 | Palantir Technologies Inc. | Interactive data object map |
| US9965534B2 (en) | 2015-09-09 | 2018-05-08 | Palantir Technologies, Inc. | Domain-specific language for dataset transformations |
| US9984428B2 (en) | 2015-09-04 | 2018-05-29 | Palantir Technologies Inc. | Systems and methods for structuring data from unstructured electronic data files |
| US9996229B2 (en) | 2013-10-03 | 2018-06-12 | Palantir Technologies Inc. | Systems and methods for analyzing performance of an entity |
| US9996595B2 (en) | 2015-08-03 | 2018-06-12 | Palantir Technologies, Inc. | Providing full data provenance visualization for versioned datasets |
| US10007674B2 (en) | 2016-06-13 | 2018-06-26 | Palantir Technologies Inc. | Data revision control in large-scale data analytic systems |
| US10068199B1 (en) | 2016-05-13 | 2018-09-04 | Palantir Technologies Inc. | System to catalogue tracking data |
| US10103953B1 (en) | 2015-05-12 | 2018-10-16 | Palantir Technologies Inc. | Methods and systems for analyzing entity performance |
| US10114884B1 (en) | 2015-12-16 | 2018-10-30 | Palantir Technologies Inc. | Systems and methods for attribute analysis of one or more databases |
| US10133621B1 (en) | 2017-01-18 | 2018-11-20 | Palantir Technologies Inc. | Data analysis system to facilitate investigative process |
| US10133783B2 (en) | 2017-04-11 | 2018-11-20 | Palantir Technologies Inc. | Systems and methods for constraint driven database searching |
| US10140664B2 (en) | 2013-03-14 | 2018-11-27 | Palantir Technologies Inc. | Resolving similar entities from a transaction database |
| US10176482B1 (en) | 2016-11-21 | 2019-01-08 | Palantir Technologies Inc. | System to identify vulnerable card readers |
| US10180929B1 (en) | 2014-06-30 | 2019-01-15 | Palantir Technologies, Inc. | Systems and methods for identifying key phrase clusters within documents |
| US10180977B2 (en) | 2014-03-18 | 2019-01-15 | Palantir Technologies Inc. | Determining and extracting changed data from a data source |
| US10198515B1 (en) | 2013-12-10 | 2019-02-05 | Palantir Technologies Inc. | System and method for aggregating data from a plurality of data sources |
| US10249033B1 (en) | 2016-12-20 | 2019-04-02 | Palantir Technologies Inc. | User interface for managing defects |
| US10275778B1 (en) | 2013-03-15 | 2019-04-30 | Palantir Technologies Inc. | Systems and user interfaces for dynamic and interactive investigation based on automatic malfeasance clustering of related data in various data structures |
| US10318630B1 (en) | 2016-11-21 | 2019-06-11 | Palantir Technologies Inc. | Analysis of large bodies of textual data |
| US10362133B1 (en) | 2014-12-22 | 2019-07-23 | Palantir Technologies Inc. | Communication data processing architecture |
| US10360238B1 (en) | 2016-12-22 | 2019-07-23 | Palantir Technologies Inc. | Database systems and user interfaces for interactive data association, analysis, and presentation |
| US10373099B1 (en) | 2015-12-18 | 2019-08-06 | Palantir Technologies Inc. | Misalignment detection system for efficiently processing database-stored data and automatically generating misalignment information for display in interactive user interfaces |
| US10402742B2 (en) | 2016-12-16 | 2019-09-03 | Palantir Technologies Inc. | Processing sensor logs |
| US10430444B1 (en) | 2017-07-24 | 2019-10-01 | Palantir Technologies Inc. | Interactive geospatial map and geospatial visualization systems |
| US10437450B2 (en) | 2014-10-06 | 2019-10-08 | Palantir Technologies Inc. | Presentation of multivariate data on a graphical user interface of a computing system |
| US10444940B2 (en) | 2015-08-17 | 2019-10-15 | Palantir Technologies Inc. | Interactive geospatial map |
| US10452678B2 (en) | 2013-03-15 | 2019-10-22 | Palantir Technologies Inc. | Filter chains for exploring large data sets |
| US10509844B1 (en) | 2017-01-19 | 2019-12-17 | Palantir Technologies Inc. | Network graph parser |
| US10515109B2 (en) | 2017-02-15 | 2019-12-24 | Palantir Technologies Inc. | Real-time auditing of industrial equipment condition |
| US10545982B1 (en) | 2015-04-01 | 2020-01-28 | Palantir Technologies Inc. | Federated search of multiple sources with conflict resolution |
| US10545975B1 (en) | 2016-06-22 | 2020-01-28 | Palantir Technologies Inc. | Visual analysis of data using sequenced dataset reduction |
| US10552002B1 (en) | 2016-09-27 | 2020-02-04 | Palantir Technologies Inc. | User interface based variable machine modeling |
| US10552994B2 (en) | 2014-12-22 | 2020-02-04 | Palantir Technologies Inc. | Systems and interactive user interfaces for dynamic retrieval, analysis, and triage of data items |
| US10572487B1 (en) | 2015-10-30 | 2020-02-25 | Palantir Technologies Inc. | Periodic database search manager for multiple data sources |
| US10581954B2 (en) | 2017-03-29 | 2020-03-03 | Palantir Technologies Inc. | Metric collection and aggregation for distributed software services |
| US10579647B1 (en) | 2013-12-16 | 2020-03-03 | Palantir Technologies Inc. | Methods and systems for analyzing entity performance |
| US10585883B2 (en) | 2012-09-10 | 2020-03-10 | Palantir Technologies Inc. | Search around visual queries |
| US10606872B1 (en) | 2017-05-22 | 2020-03-31 | Palantir Technologies Inc. | Graphical user interface for a database system |
| US10628834B1 (en) | 2015-06-16 | 2020-04-21 | Palantir Technologies Inc. | Fraud lead detection system for efficiently processing database-stored data and automatically generating natural language explanatory information of system results for display in interactive user interfaces |
| US10636097B2 (en) | 2015-07-21 | 2020-04-28 | Palantir Technologies Inc. | Systems and models for data analytics |
| US10691662B1 (en) | 2012-12-27 | 2020-06-23 | Palantir Technologies Inc. | Geo-temporal indexing and searching |
| US10698938B2 (en) | 2016-03-18 | 2020-06-30 | Palantir Technologies Inc. | Systems and methods for organizing and identifying documents via hierarchies and dimensions of tags |
| US10706434B1 (en) | 2015-09-01 | 2020-07-07 | Palantir Technologies Inc. | Methods and systems for determining location information |
| US10706056B1 (en) | 2015-12-02 | 2020-07-07 | Palantir Technologies Inc. | Audit log report generator |
| US10721262B2 (en) | 2016-12-28 | 2020-07-21 | Palantir Technologies Inc. | Resource-centric network cyber attack warning system |
| US10719527B2 (en) | 2013-10-18 | 2020-07-21 | Palantir Technologies Inc. | Systems and user interfaces for dynamic and interactive simultaneous querying of multiple data stores |
| US10728262B1 (en) | 2016-12-21 | 2020-07-28 | Palantir Technologies Inc. | Context-aware network-based malicious activity warning systems |
| US10726507B1 (en) | 2016-11-11 | 2020-07-28 | Palantir Technologies Inc. | Graphical representation of a complex task |
| US10747952B2 (en) | 2008-09-15 | 2020-08-18 | Palantir Technologies, Inc. | Automatic creation and server push of multiple distinct drafts |
| US10754822B1 (en) | 2018-04-18 | 2020-08-25 | Palantir Technologies Inc. | Systems and methods for ontology migration |
| US10754946B1 (en) | 2018-05-08 | 2020-08-25 | Palantir Technologies Inc. | Systems and methods for implementing a machine learning approach to modeling entity behavior |
| US10762471B1 (en) | 2017-01-09 | 2020-09-01 | Palantir Technologies Inc. | Automating management of integrated workflows based on disparate subsidiary data sources |
| US10769171B1 (en) | 2017-12-07 | 2020-09-08 | Palantir Technologies Inc. | Relationship analysis and mapping for interrelated multi-layered datasets |
| US10783162B1 (en) | 2017-12-07 | 2020-09-22 | Palantir Technologies Inc. | Workflow assistant |
| US10795749B1 (en) | 2017-05-31 | 2020-10-06 | Palantir Technologies Inc. | Systems and methods for providing fault analysis user interface |
| US10853454B2 (en) | 2014-03-21 | 2020-12-01 | Palantir Technologies Inc. | Provider portal |
| US10866936B1 (en) | 2017-03-29 | 2020-12-15 | Palantir Technologies Inc. | Model object management and storage system |
| US10871878B1 (en) | 2015-12-29 | 2020-12-22 | Palantir Technologies Inc. | System log analysis and object user interaction correlation system |
| US10877984B1 (en) | 2017-12-07 | 2020-12-29 | Palantir Technologies Inc. | Systems and methods for filtering and visualizing large scale datasets |
| US10877654B1 (en) | 2018-04-03 | 2020-12-29 | Palantir Technologies Inc. | Graphical user interfaces for optimizations |
| US10885021B1 (en) | 2018-05-02 | 2021-01-05 | Palantir Technologies Inc. | Interactive interpreter and graphical user interface |
| US10909130B1 (en) | 2016-07-01 | 2021-02-02 | Palantir Technologies Inc. | Graphical user interface for a database system |
| US10956406B2 (en) | 2017-06-12 | 2021-03-23 | Palantir Technologies Inc. | Propagated deletion of database records and derived data |
| US11004244B2 (en) | 2014-10-03 | 2021-05-11 | Palantir Technologies Inc. | Time-series analysis system |
| US11035690B2 (en) | 2009-07-27 | 2021-06-15 | Palantir Technologies Inc. | Geotagging structured data |
| US11119630B1 (en) | 2018-06-19 | 2021-09-14 | Palantir Technologies Inc. | Artificial intelligence assisted evaluations and user interface for same |
| US11126638B1 (en) | 2018-09-13 | 2021-09-21 | Palantir Technologies Inc. | Data visualization and parsing system |
| US11150917B2 (en) | 2015-08-26 | 2021-10-19 | Palantir Technologies Inc. | System for data aggregation and analysis of data from a plurality of data sources |
| US11216762B1 (en) | 2017-07-13 | 2022-01-04 | Palantir Technologies Inc. | Automated risk visualization using customer-centric data analysis |
| US11250425B1 (en) | 2016-11-30 | 2022-02-15 | Palantir Technologies Inc. | Generating a statistic using electronic transaction data |
| US11263382B1 (en) | 2017-12-22 | 2022-03-01 | Palantir Technologies Inc. | Data normalization and irregularity detection system |
| US11294928B1 (en) | 2018-10-12 | 2022-04-05 | Palantir Technologies Inc. | System architecture for relating and linking data objects |
| US11302426B1 (en) | 2015-01-02 | 2022-04-12 | Palantir Technologies Inc. | Unified data interface and system |
| US11314721B1 (en) | 2017-12-07 | 2022-04-26 | Palantir Technologies Inc. | User-interactive defect analysis for root cause |
| US11373752B2 (en) | 2016-12-22 | 2022-06-28 | Palantir Technologies Inc. | Detection of misuse of a benefit system |
| US11521096B2 (en) | 2014-07-22 | 2022-12-06 | Palantir Technologies Inc. | System and method for determining a propensity of entity to take a specified action |
| US12353678B2 (en) | 2019-10-17 | 2025-07-08 | Palantir Technologies Inc. | Object-centric data analysis system and associated graphical user interfaces |
| US12443336B2 (en) | 2014-12-29 | 2025-10-14 | Palantir Technologies Inc. | Interactive user interface for dynamically updating data and data analysis and query processing |
-
2011
- 2011-12-08 CN CN201110405884.5A patent/CN103167093A/en active Pending
Cited By (181)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10747952B2 (en) | 2008-09-15 | 2020-08-18 | Palantir Technologies, Inc. | Automatic creation and server push of multiple distinct drafts |
| US11035690B2 (en) | 2009-07-27 | 2021-06-15 | Palantir Technologies Inc. | Geotagging structured data |
| US9880987B2 (en) | 2011-08-25 | 2018-01-30 | Palantir Technologies, Inc. | System and method for parameterizing documents for automatic workflow generation |
| US10706220B2 (en) | 2011-08-25 | 2020-07-07 | Palantir Technologies, Inc. | System and method for parameterizing documents for automatic workflow generation |
| US10585883B2 (en) | 2012-09-10 | 2020-03-10 | Palantir Technologies Inc. | Search around visual queries |
| US11182204B2 (en) | 2012-10-22 | 2021-11-23 | Palantir Technologies Inc. | System and method for batch evaluation programs |
| US9898335B1 (en) | 2012-10-22 | 2018-02-20 | Palantir Technologies Inc. | System and method for batch evaluation programs |
| US10691662B1 (en) | 2012-12-27 | 2020-06-23 | Palantir Technologies Inc. | Geo-temporal indexing and searching |
| US10140664B2 (en) | 2013-03-14 | 2018-11-27 | Palantir Technologies Inc. | Resolving similar entities from a transaction database |
| US10152531B2 (en) | 2013-03-15 | 2018-12-11 | Palantir Technologies Inc. | Computer-implemented systems and methods for comparing and associating objects |
| US10452678B2 (en) | 2013-03-15 | 2019-10-22 | Palantir Technologies Inc. | Filter chains for exploring large data sets |
| US10977279B2 (en) | 2013-03-15 | 2021-04-13 | Palantir Technologies Inc. | Time-sensitive cube |
| US9852205B2 (en) | 2013-03-15 | 2017-12-26 | Palantir Technologies Inc. | Time-sensitive cube |
| US10275778B1 (en) | 2013-03-15 | 2019-04-30 | Palantir Technologies Inc. | Systems and user interfaces for dynamic and interactive investigation based on automatic malfeasance clustering of related data in various data structures |
| US9286373B2 (en) | 2013-03-15 | 2016-03-15 | Palantir Technologies Inc. | Computer-implemented systems and methods for comparing and associating objects |
| US10360705B2 (en) | 2013-05-07 | 2019-07-23 | Palantir Technologies Inc. | Interactive data object map |
| US9953445B2 (en) | 2013-05-07 | 2018-04-24 | Palantir Technologies Inc. | Interactive data object map |
| US12374011B2 (en) | 2013-05-07 | 2025-07-29 | Palantir Technologies Inc. | Interactive data object map |
| US9996229B2 (en) | 2013-10-03 | 2018-06-12 | Palantir Technologies Inc. | Systems and methods for analyzing performance of an entity |
| US10719527B2 (en) | 2013-10-18 | 2020-07-21 | Palantir Technologies Inc. | Systems and user interfaces for dynamic and interactive simultaneous querying of multiple data stores |
| US10198515B1 (en) | 2013-12-10 | 2019-02-05 | Palantir Technologies Inc. | System and method for aggregating data from a plurality of data sources |
| US11138279B1 (en) | 2013-12-10 | 2021-10-05 | Palantir Technologies Inc. | System and method for aggregating data from a plurality of data sources |
| US10579647B1 (en) | 2013-12-16 | 2020-03-03 | Palantir Technologies Inc. | Methods and systems for analyzing entity performance |
| US10025834B2 (en) | 2013-12-16 | 2018-07-17 | Palantir Technologies Inc. | Methods and systems for analyzing entity performance |
| US9734217B2 (en) | 2013-12-16 | 2017-08-15 | Palantir Technologies Inc. | Methods and systems for analyzing entity performance |
| US9727622B2 (en) | 2013-12-16 | 2017-08-08 | Palantir Technologies, Inc. | Methods and systems for analyzing entity performance |
| US10356032B2 (en) | 2013-12-26 | 2019-07-16 | Palantir Technologies Inc. | System and method for detecting confidential information emails |
| EP2889814A1 (en) * | 2013-12-26 | 2015-07-01 | Palantir Technologies, Inc. | System and method for detecting confidential information emails |
| US10180977B2 (en) | 2014-03-18 | 2019-01-15 | Palantir Technologies Inc. | Determining and extracting changed data from a data source |
| US10853454B2 (en) | 2014-03-21 | 2020-12-01 | Palantir Technologies Inc. | Provider portal |
| US10162887B2 (en) | 2014-06-30 | 2018-12-25 | Palantir Technologies Inc. | Systems and methods for key phrase characterization of documents |
| US9836694B2 (en) | 2014-06-30 | 2017-12-05 | Palantir Technologies, Inc. | Crime risk forecasting |
| US11341178B2 (en) | 2014-06-30 | 2022-05-24 | Palantir Technologies Inc. | Systems and methods for key phrase characterization of documents |
| US10180929B1 (en) | 2014-06-30 | 2019-01-15 | Palantir Technologies, Inc. | Systems and methods for identifying key phrase clusters within documents |
| US9619557B2 (en) | 2014-06-30 | 2017-04-11 | Palantir Technologies, Inc. | Systems and methods for key phrase characterization of documents |
| US10929436B2 (en) | 2014-07-03 | 2021-02-23 | Palantir Technologies Inc. | System and method for news events detection and visualization |
| US9881074B2 (en) | 2014-07-03 | 2018-01-30 | Palantir Technologies Inc. | System and method for news events detection and visualization |
| US9875293B2 (en) | 2014-07-03 | 2018-01-23 | Palanter Technologies Inc. | System and method for news events detection and visualization |
| US11861515B2 (en) | 2014-07-22 | 2024-01-02 | Palantir Technologies Inc. | System and method for determining a propensity of entity to take a specified action |
| US11521096B2 (en) | 2014-07-22 | 2022-12-06 | Palantir Technologies Inc. | System and method for determining a propensity of entity to take a specified action |
| US9390086B2 (en) | 2014-09-11 | 2016-07-12 | Palantir Technologies Inc. | Classification system with methodology for efficient verification |
| US11004244B2 (en) | 2014-10-03 | 2021-05-11 | Palantir Technologies Inc. | Time-series analysis system |
| US9767172B2 (en) | 2014-10-03 | 2017-09-19 | Palantir Technologies Inc. | Data aggregation and analysis system |
| US10664490B2 (en) | 2014-10-03 | 2020-05-26 | Palantir Technologies Inc. | Data aggregation and analysis system |
| US10437450B2 (en) | 2014-10-06 | 2019-10-08 | Palantir Technologies Inc. | Presentation of multivariate data on a graphical user interface of a computing system |
| US10191926B2 (en) | 2014-11-05 | 2019-01-29 | Palantir Technologies, Inc. | Universal data pipeline |
| US9946738B2 (en) | 2014-11-05 | 2018-04-17 | Palantir Technologies, Inc. | Universal data pipeline |
| US10853338B2 (en) | 2014-11-05 | 2020-12-01 | Palantir Technologies Inc. | Universal data pipeline |
| US9483546B2 (en) | 2014-12-15 | 2016-11-01 | Palantir Technologies Inc. | System and method for associating related records to common entities across multiple lists |
| US10242072B2 (en) | 2014-12-15 | 2019-03-26 | Palantir Technologies Inc. | System and method for associating related records to common entities across multiple lists |
| US9898528B2 (en) | 2014-12-22 | 2018-02-20 | Palantir Technologies Inc. | Concept indexing among database of documents using machine learning techniques |
| US10362133B1 (en) | 2014-12-22 | 2019-07-23 | Palantir Technologies Inc. | Communication data processing architecture |
| US10552994B2 (en) | 2014-12-22 | 2020-02-04 | Palantir Technologies Inc. | Systems and interactive user interfaces for dynamic retrieval, analysis, and triage of data items |
| US11252248B2 (en) | 2014-12-22 | 2022-02-15 | Palantir Technologies Inc. | Communication data processing architecture |
| US9348920B1 (en) | 2014-12-22 | 2016-05-24 | Palantir Technologies Inc. | Concept indexing among database of documents using machine learning techniques |
| US10157200B2 (en) | 2014-12-29 | 2018-12-18 | Palantir Technologies Inc. | Interactive user interface for dynamic data analysis exploration and query processing |
| US9817563B1 (en) | 2014-12-29 | 2017-11-14 | Palantir Technologies Inc. | System and method of generating data points from one or more data stores of data items for chart creation and manipulation |
| US9870389B2 (en) | 2014-12-29 | 2018-01-16 | Palantir Technologies Inc. | Interactive user interface for dynamic data analysis exploration and query processing |
| US12443336B2 (en) | 2014-12-29 | 2025-10-14 | Palantir Technologies Inc. | Interactive user interface for dynamically updating data and data analysis and query processing |
| US10552998B2 (en) | 2014-12-29 | 2020-02-04 | Palantir Technologies Inc. | System and method of generating data points from one or more data stores of data items for chart creation and manipulation |
| US11302426B1 (en) | 2015-01-02 | 2022-04-12 | Palantir Technologies Inc. | Unified data interface and system |
| US10474326B2 (en) | 2015-02-25 | 2019-11-12 | Palantir Technologies Inc. | Systems and methods for organizing and identifying documents via hierarchies and dimensions of tags |
| US9727560B2 (en) | 2015-02-25 | 2017-08-08 | Palantir Technologies Inc. | Systems and methods for organizing and identifying documents via hierarchies and dimensions of tags |
| US12147657B2 (en) | 2015-03-16 | 2024-11-19 | Palantir Technologies Inc. | Interactive user interfaces for location-based data analysis |
| US9891808B2 (en) | 2015-03-16 | 2018-02-13 | Palantir Technologies Inc. | Interactive user interfaces for location-based data analysis |
| US10459619B2 (en) | 2015-03-16 | 2019-10-29 | Palantir Technologies Inc. | Interactive user interfaces for location-based data analysis |
| US9886467B2 (en) | 2015-03-19 | 2018-02-06 | Plantir Technologies Inc. | System and method for comparing and visualizing data entities and data entity series |
| US10545982B1 (en) | 2015-04-01 | 2020-01-28 | Palantir Technologies Inc. | Federated search of multiple sources with conflict resolution |
| US10103953B1 (en) | 2015-05-12 | 2018-10-16 | Palantir Technologies Inc. | Methods and systems for analyzing entity performance |
| US12056718B2 (en) | 2015-06-16 | 2024-08-06 | Palantir Technologies Inc. | Fraud lead detection system for efficiently processing database-stored data and automatically generating natural language explanatory information of system results for display in interactive user interfaces |
| US10628834B1 (en) | 2015-06-16 | 2020-04-21 | Palantir Technologies Inc. | Fraud lead detection system for efficiently processing database-stored data and automatically generating natural language explanatory information of system results for display in interactive user interfaces |
| US10636097B2 (en) | 2015-07-21 | 2020-04-28 | Palantir Technologies Inc. | Systems and models for data analytics |
| US9661012B2 (en) | 2015-07-23 | 2017-05-23 | Palantir Technologies Inc. | Systems and methods for identifying information related to payment card breaches |
| US9392008B1 (en) | 2015-07-23 | 2016-07-12 | Palantir Technologies Inc. | Systems and methods for identifying information related to payment card breaches |
| US9996595B2 (en) | 2015-08-03 | 2018-06-12 | Palantir Technologies, Inc. | Providing full data provenance visualization for versioned datasets |
| US10444941B2 (en) | 2015-08-17 | 2019-10-15 | Palantir Technologies Inc. | Interactive geospatial map |
| US10444940B2 (en) | 2015-08-17 | 2019-10-15 | Palantir Technologies Inc. | Interactive geospatial map |
| US11150629B2 (en) | 2015-08-20 | 2021-10-19 | Palantir Technologies Inc. | Quantifying, tracking, and anticipating risk at a manufacturing facility based on staffing conditions and textual descriptions of deviations |
| US9671776B1 (en) | 2015-08-20 | 2017-06-06 | Palantir Technologies Inc. | Quantifying, tracking, and anticipating risk at a manufacturing facility, taking deviation type and staffing conditions into account |
| US10579950B1 (en) | 2015-08-20 | 2020-03-03 | Palantir Technologies Inc. | Quantifying, tracking, and anticipating risk at a manufacturing facility based on staffing conditions and textual descriptions of deviations |
| US11150917B2 (en) | 2015-08-26 | 2021-10-19 | Palantir Technologies Inc. | System for data aggregation and analysis of data from a plurality of data sources |
| US11934847B2 (en) | 2015-08-26 | 2024-03-19 | Palantir Technologies Inc. | System for data aggregation and analysis of data from a plurality of data sources |
| US11048706B2 (en) | 2015-08-28 | 2021-06-29 | Palantir Technologies Inc. | Malicious activity detection system capable of efficiently processing data accessed from databases and generating alerts for display in interactive user interfaces |
| US12105719B2 (en) | 2015-08-28 | 2024-10-01 | Palantir Technologies Inc. | Malicious activity detection system capable of efficiently processing data accessed from databases and generating alerts for display in interactive user interfaces |
| US10346410B2 (en) | 2015-08-28 | 2019-07-09 | Palantir Technologies Inc. | Malicious activity detection system capable of efficiently processing data accessed from databases and generating alerts for display in interactive user interfaces |
| US9485265B1 (en) | 2015-08-28 | 2016-11-01 | Palantir Technologies Inc. | Malicious activity detection system capable of efficiently processing data accessed from databases and generating alerts for display in interactive user interfaces |
| US9898509B2 (en) | 2015-08-28 | 2018-02-20 | Palantir Technologies Inc. | Malicious activity detection system capable of efficiently processing data accessed from databases and generating alerts for display in interactive user interfaces |
| US10706434B1 (en) | 2015-09-01 | 2020-07-07 | Palantir Technologies Inc. | Methods and systems for determining location information |
| US9984428B2 (en) | 2015-09-04 | 2018-05-29 | Palantir Technologies Inc. | Systems and methods for structuring data from unstructured electronic data files |
| US9639580B1 (en) | 2015-09-04 | 2017-05-02 | Palantir Technologies, Inc. | Computer-implemented systems and methods for data management and visualization |
| US9996553B1 (en) | 2015-09-04 | 2018-06-12 | Palantir Technologies Inc. | Computer-implemented systems and methods for data management and visualization |
| US11080296B2 (en) | 2015-09-09 | 2021-08-03 | Palantir Technologies Inc. | Domain-specific language for dataset transformations |
| US9965534B2 (en) | 2015-09-09 | 2018-05-08 | Palantir Technologies, Inc. | Domain-specific language for dataset transformations |
| US9424669B1 (en) | 2015-10-21 | 2016-08-23 | Palantir Technologies Inc. | Generating graphical representations of event participation flow |
| US10192333B1 (en) | 2015-10-21 | 2019-01-29 | Palantir Technologies Inc. | Generating graphical representations of event participation flow |
| US10572487B1 (en) | 2015-10-30 | 2020-02-25 | Palantir Technologies Inc. | Periodic database search manager for multiple data sources |
| US10706056B1 (en) | 2015-12-02 | 2020-07-07 | Palantir Technologies Inc. | Audit log report generator |
| US9514414B1 (en) | 2015-12-11 | 2016-12-06 | Palantir Technologies Inc. | Systems and methods for identifying and categorizing electronic documents through machine learning |
| US12524608B2 (en) | 2015-12-11 | 2026-01-13 | Palantir Technologies Inc. | Systems and methods for annotating and linking electronic documents |
| US10817655B2 (en) | 2015-12-11 | 2020-10-27 | Palantir Technologies Inc. | Systems and methods for annotating and linking electronic documents |
| US9760556B1 (en) | 2015-12-11 | 2017-09-12 | Palantir Technologies Inc. | Systems and methods for annotating and linking electronic documents |
| US11106701B2 (en) | 2015-12-16 | 2021-08-31 | Palantir Technologies Inc. | Systems and methods for attribute analysis of one or more databases |
| US10114884B1 (en) | 2015-12-16 | 2018-10-30 | Palantir Technologies Inc. | Systems and methods for attribute analysis of one or more databases |
| US10373099B1 (en) | 2015-12-18 | 2019-08-06 | Palantir Technologies Inc. | Misalignment detection system for efficiently processing database-stored data and automatically generating misalignment information for display in interactive user interfaces |
| US11829928B2 (en) | 2015-12-18 | 2023-11-28 | Palantir Technologies Inc. | Misalignment detection system for efficiently processing database-stored data and automatically generating misalignment information for display in interactive user interfaces |
| US10871878B1 (en) | 2015-12-29 | 2020-12-22 | Palantir Technologies Inc. | System log analysis and object user interaction correlation system |
| US10460486B2 (en) | 2015-12-30 | 2019-10-29 | Palantir Technologies Inc. | Systems for collecting, aggregating, and storing data, generating interactive user interfaces for analyzing data, and generating alerts based upon collected data |
| US9792020B1 (en) | 2015-12-30 | 2017-10-17 | Palantir Technologies Inc. | Systems for collecting, aggregating, and storing data, generating interactive user interfaces for analyzing data, and generating alerts based upon collected data |
| US10698938B2 (en) | 2016-03-18 | 2020-06-30 | Palantir Technologies Inc. | Systems and methods for organizing and identifying documents via hierarchies and dimensions of tags |
| US9652139B1 (en) | 2016-04-06 | 2017-05-16 | Palantir Technologies Inc. | Graphical representation of an output |
| US10068199B1 (en) | 2016-05-13 | 2018-09-04 | Palantir Technologies Inc. | System to catalogue tracking data |
| US12481953B2 (en) | 2016-05-13 | 2025-11-25 | Palantir Technologies Inc. | System to catalogue tracking data |
| US10007674B2 (en) | 2016-06-13 | 2018-06-26 | Palantir Technologies Inc. | Data revision control in large-scale data analytic systems |
| US11106638B2 (en) | 2016-06-13 | 2021-08-31 | Palantir Technologies Inc. | Data revision control in large-scale data analytic systems |
| US10545975B1 (en) | 2016-06-22 | 2020-01-28 | Palantir Technologies Inc. | Visual analysis of data using sequenced dataset reduction |
| US11269906B2 (en) | 2016-06-22 | 2022-03-08 | Palantir Technologies Inc. | Visual analysis of data using sequenced dataset reduction |
| US12204552B2 (en) | 2016-06-22 | 2025-01-21 | Palantir Technologies Inc. | Visual analysis of data using sequenced dataset reduction |
| US10909130B1 (en) | 2016-07-01 | 2021-02-02 | Palantir Technologies Inc. | Graphical user interface for a database system |
| US11954300B2 (en) | 2016-09-27 | 2024-04-09 | Palantir Technologies Inc. | User interface based variable machine modeling |
| US10552002B1 (en) | 2016-09-27 | 2020-02-04 | Palantir Technologies Inc. | User interface based variable machine modeling |
| US10942627B2 (en) | 2016-09-27 | 2021-03-09 | Palantir Technologies Inc. | User interface based variable machine modeling |
| US12079887B2 (en) | 2016-11-11 | 2024-09-03 | Palantir Technologies Inc. | Graphical representation of a complex task |
| US11715167B2 (en) | 2016-11-11 | 2023-08-01 | Palantir Technologies Inc. | Graphical representation of a complex task |
| US11227344B2 (en) | 2016-11-11 | 2022-01-18 | Palantir Technologies Inc. | Graphical representation of a complex task |
| US10726507B1 (en) | 2016-11-11 | 2020-07-28 | Palantir Technologies Inc. | Graphical representation of a complex task |
| US11468450B2 (en) | 2016-11-21 | 2022-10-11 | Palantir Technologies Inc. | System to identify vulnerable card readers |
| US10318630B1 (en) | 2016-11-21 | 2019-06-11 | Palantir Technologies Inc. | Analysis of large bodies of textual data |
| US10176482B1 (en) | 2016-11-21 | 2019-01-08 | Palantir Technologies Inc. | System to identify vulnerable card readers |
| US10796318B2 (en) | 2016-11-21 | 2020-10-06 | Palantir Technologies Inc. | System to identify vulnerable card readers |
| US11250425B1 (en) | 2016-11-30 | 2022-02-15 | Palantir Technologies Inc. | Generating a statistic using electronic transaction data |
| US10402742B2 (en) | 2016-12-16 | 2019-09-03 | Palantir Technologies Inc. | Processing sensor logs |
| US10885456B2 (en) | 2016-12-16 | 2021-01-05 | Palantir Technologies Inc. | Processing sensor logs |
| US9886525B1 (en) | 2016-12-16 | 2018-02-06 | Palantir Technologies Inc. | Data item aggregate probability analysis system |
| US10839504B2 (en) | 2016-12-20 | 2020-11-17 | Palantir Technologies Inc. | User interface for managing defects |
| US10249033B1 (en) | 2016-12-20 | 2019-04-02 | Palantir Technologies Inc. | User interface for managing defects |
| US10728262B1 (en) | 2016-12-21 | 2020-07-28 | Palantir Technologies Inc. | Context-aware network-based malicious activity warning systems |
| US11250027B2 (en) | 2016-12-22 | 2022-02-15 | Palantir Technologies Inc. | Database systems and user interfaces for interactive data association, analysis, and presentation |
| US10360238B1 (en) | 2016-12-22 | 2019-07-23 | Palantir Technologies Inc. | Database systems and user interfaces for interactive data association, analysis, and presentation |
| US11373752B2 (en) | 2016-12-22 | 2022-06-28 | Palantir Technologies Inc. | Detection of misuse of a benefit system |
| US10721262B2 (en) | 2016-12-28 | 2020-07-21 | Palantir Technologies Inc. | Resource-centric network cyber attack warning system |
| US10762471B1 (en) | 2017-01-09 | 2020-09-01 | Palantir Technologies Inc. | Automating management of integrated workflows based on disparate subsidiary data sources |
| US10133621B1 (en) | 2017-01-18 | 2018-11-20 | Palantir Technologies Inc. | Data analysis system to facilitate investigative process |
| US11892901B2 (en) | 2017-01-18 | 2024-02-06 | Palantir Technologies Inc. | Data analysis system to facilitate investigative process |
| US11126489B2 (en) | 2017-01-18 | 2021-09-21 | Palantir Technologies Inc. | Data analysis system to facilitate investigative process |
| US10509844B1 (en) | 2017-01-19 | 2019-12-17 | Palantir Technologies Inc. | Network graph parser |
| US10515109B2 (en) | 2017-02-15 | 2019-12-24 | Palantir Technologies Inc. | Real-time auditing of industrial equipment condition |
| US10581954B2 (en) | 2017-03-29 | 2020-03-03 | Palantir Technologies Inc. | Metric collection and aggregation for distributed software services |
| US11907175B2 (en) | 2017-03-29 | 2024-02-20 | Palantir Technologies Inc. | Model object management and storage system |
| US10866936B1 (en) | 2017-03-29 | 2020-12-15 | Palantir Technologies Inc. | Model object management and storage system |
| US11526471B2 (en) | 2017-03-29 | 2022-12-13 | Palantir Technologies Inc. | Model object management and storage system |
| US10915536B2 (en) | 2017-04-11 | 2021-02-09 | Palantir Technologies Inc. | Systems and methods for constraint driven database searching |
| US12099509B2 (en) | 2017-04-11 | 2024-09-24 | Palantir Technologies Inc. | Systems and methods for constraint driven database searching |
| US10133783B2 (en) | 2017-04-11 | 2018-11-20 | Palantir Technologies Inc. | Systems and methods for constraint driven database searching |
| US10606872B1 (en) | 2017-05-22 | 2020-03-31 | Palantir Technologies Inc. | Graphical user interface for a database system |
| US10795749B1 (en) | 2017-05-31 | 2020-10-06 | Palantir Technologies Inc. | Systems and methods for providing fault analysis user interface |
| US10956406B2 (en) | 2017-06-12 | 2021-03-23 | Palantir Technologies Inc. | Propagated deletion of database records and derived data |
| US11216762B1 (en) | 2017-07-13 | 2022-01-04 | Palantir Technologies Inc. | Automated risk visualization using customer-centric data analysis |
| US11769096B2 (en) | 2017-07-13 | 2023-09-26 | Palantir Technologies Inc. | Automated risk visualization using customer-centric data analysis |
| US10430444B1 (en) | 2017-07-24 | 2019-10-01 | Palantir Technologies Inc. | Interactive geospatial map and geospatial visualization systems |
| US11269931B2 (en) | 2017-07-24 | 2022-03-08 | Palantir Technologies Inc. | Interactive geospatial map and geospatial visualization systems |
| US11789931B2 (en) | 2017-12-07 | 2023-10-17 | Palantir Technologies Inc. | User-interactive defect analysis for root cause |
| US11874850B2 (en) | 2017-12-07 | 2024-01-16 | Palantir Technologies Inc. | Relationship analysis and mapping for interrelated multi-layered datasets |
| US10769171B1 (en) | 2017-12-07 | 2020-09-08 | Palantir Technologies Inc. | Relationship analysis and mapping for interrelated multi-layered datasets |
| US10783162B1 (en) | 2017-12-07 | 2020-09-22 | Palantir Technologies Inc. | Workflow assistant |
| US11314721B1 (en) | 2017-12-07 | 2022-04-26 | Palantir Technologies Inc. | User-interactive defect analysis for root cause |
| US11308117B2 (en) | 2017-12-07 | 2022-04-19 | Palantir Technologies Inc. | Relationship analysis and mapping for interrelated multi-layered datasets |
| US10877984B1 (en) | 2017-12-07 | 2020-12-29 | Palantir Technologies Inc. | Systems and methods for filtering and visualizing large scale datasets |
| US11263382B1 (en) | 2017-12-22 | 2022-03-01 | Palantir Technologies Inc. | Data normalization and irregularity detection system |
| US12189933B2 (en) | 2018-04-03 | 2025-01-07 | Palantir Technologies Inc. | Graphical user interfaces for optimizations |
| US10877654B1 (en) | 2018-04-03 | 2020-12-29 | Palantir Technologies Inc. | Graphical user interfaces for optimizations |
| US10754822B1 (en) | 2018-04-18 | 2020-08-25 | Palantir Technologies Inc. | Systems and methods for ontology migration |
| US10885021B1 (en) | 2018-05-02 | 2021-01-05 | Palantir Technologies Inc. | Interactive interpreter and graphical user interface |
| US11928211B2 (en) | 2018-05-08 | 2024-03-12 | Palantir Technologies Inc. | Systems and methods for implementing a machine learning approach to modeling entity behavior |
| US10754946B1 (en) | 2018-05-08 | 2020-08-25 | Palantir Technologies Inc. | Systems and methods for implementing a machine learning approach to modeling entity behavior |
| US11507657B2 (en) | 2018-05-08 | 2022-11-22 | Palantir Technologies Inc. | Systems and methods for implementing a machine learning approach to modeling entity behavior |
| US12147647B2 (en) | 2018-06-19 | 2024-11-19 | Palantir Technologies Inc. | Artificial intelligence assisted evaluations and user interface for same |
| US11119630B1 (en) | 2018-06-19 | 2021-09-14 | Palantir Technologies Inc. | Artificial intelligence assisted evaluations and user interface for same |
| US11126638B1 (en) | 2018-09-13 | 2021-09-21 | Palantir Technologies Inc. | Data visualization and parsing system |
| US12210543B2 (en) | 2018-10-12 | 2025-01-28 | Palantir Technologies Inc. | System architecture for relating and linking data objects |
| US11294928B1 (en) | 2018-10-12 | 2022-04-05 | Palantir Technologies Inc. | System architecture for relating and linking data objects |
| US12353678B2 (en) | 2019-10-17 | 2025-07-08 | Palantir Technologies Inc. | Object-centric data analysis system and associated graphical user interfaces |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103167093A (en) | Filling method of mobile phone email address | |
| CN101924810B (en) | Method and device for treating communication records | |
| US20070050456A1 (en) | Automated creation of e-mail distribution lists | |
| CN104364819B (en) | The electronic communication rough draft management of enhancing | |
| CN101951577B (en) | Short message processing method and device thereof | |
| CN102905002A (en) | A method and system for automatically merging contact entries | |
| WO2014117656A1 (en) | Mobile terminal and method for extracting communication contact information | |
| CN102637160B (en) | Method and device for quickly compiling sending content based on receivers | |
| CN101441744A (en) | E-mail management method and system | |
| CN103442122A (en) | A short message sorting method and communication terminal | |
| CN101087462B (en) | Information browsing method | |
| CN103150646A (en) | Method and device for classifying and displaying emails | |
| CN102223317A (en) | Method and device for processing electronic mails | |
| CN102316199B (en) | Method for processing phone book and terminal | |
| CN101304454B (en) | A method to view SMS history | |
| CN104636438A (en) | Method and device for classifying and storing e-mails | |
| CN103051792B (en) | Contact information changing method and communication terminal thereof | |
| CN101924814A (en) | Transaction management information processing method and device thereof | |
| CN102938805A (en) | A communication record processing method centered on contacts | |
| WO2020015221A1 (en) | Mail processing method, device, storage medium and computer device | |
| US8972508B1 (en) | Methods and systems for managing email configuration | |
| US20080077675A1 (en) | Systems and Methods for Electronic Message Preparation | |
| CN104885488A (en) | Terminal and specified content deletion method | |
| CN103200301B (en) | A kind of information saving method based on note and mobile terminal | |
| CN111934930B (en) | Mail contact person recommending method and device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130619 |