CN100413249C - A contact management method - Google Patents

Abstract

The invention discloses a contact management method, comprising the following steps: step A, obtain the user's current chat record, and calculate a temporary heat score according to the user's current chat record; Time information depreciates the historical popularity score, and calculates the current popularity score based on the temporary popularity score and the depreciated historical popularity score; step C, sorts the contacts according to the current popularity score, and updates the contact on the user panel list of people. The present invention can make the arrangement of the user's contacts more clear, the main panel is more beautiful, and can also track the user's chatting behavior in real time, so that the user can easily find the frequently contacted contacts and reflect the interpersonal relationship between the contacts. At the same time, the present invention will The historical popularity scores are uploaded to the server for storage, so that users can display normal rankings in different places.

Description

A contact management method

technical field

The invention relates to instant communication technology, in particular to a contact management method.

Background technique

Social Network Service (Social Network Service, SNS) has received widespread attention since its appearance, and has gradually become the basis for all network services including instant messaging, text messages, auctions, making friends, job hunting, games and search; it is a digital Internet It is a service that comes from a virtual and real physical social network, which can make the network more social and closer to the real world; it can be used to represent the interpersonal relationships between various contacts in the network and store these relationships.

The development of network instant messaging tools has been accepted and recognized by most netizens, and has become an indispensable part of the lives of the majority of netizens. It is not only widely used in leisure and entertainment, but also in users' work. There are tens of thousands of users of traditional network instant messaging tools, but each user exists in isolation, and there are various relationships among people in life, which constitutes a human social network. Has a big impact. Traditional instant messaging (IM) tools generally arrange their own contacts on the panel according to grouping, time arrangement (order of receiving messages), and quantity arrangement (according to the cumulative number of messages sent with a certain contact person). It can be seen that traditional instant messaging tools cannot store the above-mentioned interpersonal relationships, and therefore cannot reflect these interpersonal relationships. When a user uses instant messaging tools for a long time, his contacts will increase over time, and sometimes contacts added unintentionally, or contacts added due to a certain need will settle on the panel. When users need to find a specific contact, but the contact is not online, it is often extremely difficult. Furthermore, because most of the contacts on the network use nicknames, and the nicknames often change, so over time, the contacts are difficult to identify, which brings inconvenience to the user.

If the social network theory can be applied to traditional instant messaging tools, a technical solution that can represent the interpersonal relationship of contacts and manage contacts can be provided to overcome the increase in the time of users using instant messaging tools in the prior art The increase in contacts makes it inconvenient for users to find their regular contacts based on their nicknames, which will definitely be loved by the majority of netizens.

Contents of the invention

Aiming at the defects of the prior art, the present invention provides a contact management method, which can treat the arrangement of the contacts on the IM software panel differently according to the contact frequency of the contacts, so as to reflect the interpersonal relationship between the contacts.

The contact management method of the present invention comprises the following steps:

Step A, obtain the user's current chat history, and calculate the temporary popularity score based on the user's current chat history;

Step B, depreciating the historical popularity score according to the historical popularity score and the occurrence time information of the historical popularity score, and calculating the current popularity score according to the temporary popularity score and the depreciated historical popularity score;

In step C, the contacts are sorted according to the current popularity score, and the popularity score table is updated and uploaded to the server.

Further, before the step B, a step of sending a request for downloading the popularity score table is also included.

The popularity score table includes contact account number, popularity score, and popularity occurrence time information. The popularity occurrence time information includes the last message occurrence time and the number of days between the last message occurrence time and the current time.

After the step of sending the request for downloading the popularity score table, a step of traversing the server to determine whether there is a popularity score table in the server is also included.

After the step of traversing the server to judge whether there is a popularity score table in the server, it also includes if the server does not include the popularity score table, then obtaining the user's historical chat records and calculating according to the user's historical chat records to obtain the contact information of each contact. The steps of historical popularity score.

After the traversing server determines whether there is a popularity score table in the server, it also includes the step of downloading the popularity score table if there is a popularity score table in the server.

The step C also includes the step of updating the contact list on the user panel according to the current popularity score.

The present invention can make the arrangement of the user's contacts more clear, the main panel is more beautiful, and can also track the user's chatting behavior in real time, so that the user can easily find the frequently contacted contacts and reflect the interpersonal relationship with the contacts. At the same time, The invention uploads the historical heat score to the server for storage, so that the user can display normal sorting even in different places.

Description of drawings

FIG. 1 is a schematic flowchart of a contact management method of the present invention.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

The present invention aims at the defects of the prior art, based on the social service network (Social Network Service, SNS) theory, that is, according to the contact frequency (number of chat messages) between the user and a certain contact, the heat score of the contact is calculated, and the Depreciate the historical popularity score, calculate the current popularity score, sort all the user's contacts according to the current popularity score, and track the user's chat behavior in real time, so that the user can easily find the frequently contacted contacts, reflecting the relationship with the contacts relationship between people, and create popularity pages on the main panel, if the popularity is 0, it will be classified as an infrequent contact and stored in a node separately. , so that the user can also display the normal sorting in different places.

As shown in Figure 1: it is a flowchart of a contact management method of the present invention, and its specific implementation process is as follows:

Step 10. Obtain the current chat records within the time period specified by the user, and calculate the temporary popularity scores of each contact according to the current chat records;

The current chat record can be stored in the local computer or in the server.

The specified time period is a preset fixed time length, which is used to calculate the temporary popularity score at the end of each fixed time length since the user logs in. The fixed time length can be ten minutes, one hour, or any other length of time.

The temporary popularity score is the popularity score calculated according to the chat records within the current fixed time period.

The calculation method of the temporary popularity score is as follows:

$\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; m</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; m</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; e</span>}}^{\mathrm{<span\; class="notranslate">\; b</span>}<span\; class="notranslate">\; -</span>\frac{\mathrm{<span\; class="notranslate">\; c</span>}}{{\mathrm{<span\; class="notranslate">\; m</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; e</span>}}^{\mathrm{<span\; class="notranslate">\; b</span>}<span\; class="notranslate">\; -</span>\frac{\mathrm{<span\; class="notranslate">\; c</span>}}{{\mathrm{<span\; class="notranslate">\; m</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}}}<span\; class="notranslate">\; )</span>$

Among them, f(m) is the temporary popularity score, m ₁ is the total number of chats for an account on the day, m ₀ is the number of chats calculated last time, e is a constant in scientific notation, where a, b, c It is a constant. For example, if there are 31 chats for an account number 86820609, and the chat records reported for a fixed period of time are 26, then the temporary popularity score calculated this time is f(31)-f(26).

Step 20: Send a request to download a popularity score table; the popularity score table includes contact account numbers, popularity scores, and popularity occurrence time information of all contacts of the user.

The popularity occurrence time information includes the last message occurrence time and the number of days between the last message occurrence time and the current time.

Step 30, traversing the server to determine whether there is a popularity score table in the server, if it does not exist, then perform step 40, if it exists, then perform step 50;

Step 40, if there is no popularity score table in the server, then obtain the user's historical chat records and calculate according to the historical chat records to obtain the historical popularity scores of the user's contacts; execute step 60;

The historical popularity score is the popularity score calculated based on the user's historical chat records and/or the popularity score obtained by depreciating the previous historical popularity score and calculating the last temporary popularity score.

The historical chat records can be stored in the local computer or in the server.

Step 50, if there is a popularity score table in the server, download the popularity score table from the server, and then perform step 60;

Step 60, performing heat score depreciation according to historical heat score and heat occurrence time information;

The depreciation method of the historical popularity score is: S _history *g(t)

Among them, S _history represents the historical heat score, t represents the time information of heat occurrence, that is, the number of days between the last message occurrence time and the current time interval; among them, g(t) is the depreciation coefficient: g(t)=e ^-dt , and d is a constant.

Step 70. Calculate the user's current popularity score according to the temporary popularity score and the depreciated historical popularity score;

The calculation method of the current popularity score is: add the temporary popularity score to the depreciated historical popularity score, that is, S _current =S _history *g(t)+f(m); S _current represents the current popularity score;

Step 80: Update the popularity score table according to the current popularity score and upload the updated popularity score table to the server for storage.

Step 90 , sort the user's contacts according to the current popularity score, and update the contact list on the user panel.

Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these modifications and variations.

Claims (7)

1. A contact management method, characterized in that, comprising: Step A, obtain the user's current chat history, and calculate the temporary popularity score based on the user's current chat history; Step B, depreciating the historical popularity score according to the historical popularity score and the occurrence time information of the historical popularity score, and calculating the current popularity score according to the temporary popularity score and the depreciated historical popularity score; Step C, sort the contacts according to the current popularity score, update the popularity score table and upload it to the server. 2. A kind of contact management method according to claim 1, is characterized in that, before described step B, also comprises the step of sending the request of downloading popularity score table. 3. A contact management method according to claim 1 or 2, wherein the popularity score table includes contact account numbers, popularity scores, and popularity occurrence time information of all contacts of the user, and the The popularity occurrence time information includes the last message occurrence time and the number of days between the last message occurrence time and the current time. 4. A contact management method according to claim 2, characterized in that, after the step of sending the request for downloading the heat score table, it also includes the step of traversing the server to determine whether there is a heat score table in the server. 5. A kind of contact management method according to claim 4, it is characterized in that, after the step of judging whether there is a heat score table in the server by traversing the server, it also includes if the heat score table is not included in the server, then The step of obtaining the user's historical chat records and calculating according to the chat records to obtain the historical popularity scores of each contact. 6. A contact management method according to claim 4, characterized in that, after the step of traversing the server to judge whether there is a heat score table in the server, it also includes downloading if the heat score table is included in the server. Steps for the heat score table. 7. A kind of contact management method according to claim 1, is characterized in that, said step C also comprises the step of updating the contact list on the user panel according to the current popularity score.

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