CN110362657B - Obtain APP and portrait computing equipment of label - Google Patents

Abstract

The invention relates to a method for obtaining an APP pictureA tag-like computing device capable of obtaining n of said APP's in n application download servers₁Group directory text and n₂A description text, n₁≤n，n₂N is less than or equal to n; the computing device may implement the steps of: step S100, according to n₁The group directory text obtains a first APP tag text; step S200, according to n₂Obtaining a second APP label text from the description text; step S300, obtaining APP static portrait labels at least according to the first APP label text and the second APP label text; step S400, storing APP portrait tags, wherein the APP portrait tags comprise the APP static portrait tags; wherein, the steps S100 and S200 may exchange execution orders.

Description

Obtain APP and portrait computing equipment of label

Technical Field

The present invention relates to an information processing apparatus, and more particularly, to an APP information processing apparatus.

Background

The users are clustered, and the clustered users are provided with services in a targeted manner, so that the cost of time, energy and the like can be saved to a great extent, wherein the accurate clustering of the users is on the premise that the characteristics used for clustering can accurately describe the users. However, in the prior art, many features for describing the user are determined according to subjective choices of the user, such as interests and hobbies of the user, and these subjective features may change greatly over time, so that the previously determined features of the user may not well describe the current state of the user, and thus the user clustering effect is poor.

Disclosure of Invention

In order to solve the technical problem, the invention discloses computing equipment for acquiring APP portrait tags, wherein the computing equipment can acquire n APP in n application download servers₁Group directory text and n₂A description text, n₁≤n，n₂N is less than or equal to n; the meterThe computing device may implement the following steps: step S100, according to n₁The group directory text obtains a first APP tag text; step S200, according to n₂Obtaining a second APP label text from the description text; step S300, obtaining APP static portrait labels at least according to the first APP label text and the second APP label text; step S400, storing APP portrait tags, wherein the APP portrait tags comprise the APP static portrait tags; wherein, the steps S100 and S200 may exchange execution orders.

Drawings

FIG. 1 is a flowchart of a method for obtaining an APP image tag according to the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings. This description is made by way of example and not limitation to specific embodiments consistent with the principles of the invention, the description being in sufficient detail to enable those skilled in the art to practice the invention, other embodiments may be utilized and the structure of various elements may be changed and/or substituted without departing from the scope and spirit of the invention. The following detailed description is, therefore, not to be taken in a limiting sense.

The invention discloses computing equipment for obtaining an APP portrait label, which comprises a processor and a non-transitory storage medium, wherein a computer program is stored in the non-transitory storage medium; the computing device can obtain (e.g., store) n of the APPs in n application download servers₁Group directory text and n₂A description text, n₁≤n，n₂≤n。

According to the present invention, the computing device is a device with data computing processing capability, such as a mobile terminal, a computer, a server, etc. in the prior art, and it can be understood by those skilled in the art that the mobile terminal device, the computer device, and/or the server device may be any type of device in the prior art, and the type, brand, and/or configuration, etc. of the mobile terminal device, the computer device, and/or the server device are not used as conditions for limiting the protection scope of the present invention.

According to the present invention, the n application download servers are any n application download servers in the prior art, such as pea pods, millet application stores, Huawei application download markets, apple App Store, QQ software housekeeping and the like. The value of n is such that the characteristics of APP can be described comprehensively and objectively according to the obtained directory text and description text, and the value range of n is [10, 30] as an example.

According to the invention, the catalog text is an M-level category catalog text of the APP on the application download server, for example, on the apple App Store, if a 'tool', 'custom keyboard', 'dog search input method' is sequentially clicked in the category catalog, a software display interface of the dog search input method APP (the APP is also called as an application program or software) can be entered. In the present invention, the value range of M is [1,3], for example, when M is 2, the directory text of the dog search input method APP is "tool" and "custom keyboard", that is, the text elements in the directory text are "tool" and "custom keyboard"; when M is 3, the directory text of the dog searching input method APP is "tool", "custom keyboard", and "dog searching input method". Further, the description text is "application introduction" (e.g. millet application Store) or "content feed" (e.g. apple APP Store) of APP on the application download server.

In the present invention, when the computer program is executed by the processor, the following steps are implemented (as shown in fig. 1, fig. 1 is a flowchart of a method for obtaining an APP portrait tag of the present invention):

step S100, according to n₁The group directory text obtains a first APP tag text. According to the invention, the directory text of the APP on each application download server is stored separately, so that n can be obtained₁The directory text of the APP, where n₁N (some application download servers do not exist or cannot obtain APP directory text).

Specifically, in one embodiment of the present invention, the first APP tag text includes the n₁Group directory text, exemplary, when n ═ n₁2, and firstThe group directory text is: the second directory text is: tools and input methods, the first APP tag text is: tools, custom keyboards, tools, input methods.

In a preferred embodiment of the present invention, the first APP tag text is the n₁Union of all text elements of the group list text, e.g. when n ═ n₁M2, and the first set of directory text is: the second directory text is: tools and input methods, the first APP tag text is: tools, custom keyboards, input methods.

According to another embodiment of the present invention, the computing device is further capable of obtaining (for example, storing) a downloading amount of the APP in n APP download servers, where in one embodiment of the present invention, the first APP tag text includes the n APP tags₁Group directory text and the APP being associated with the n₁The amount of download in each application download server corresponding to the group directory text. Illustratively, when n ═ n₁The first set of directory text is: the second directory text is: the method comprises the steps that by means of a tool and an input method, the downloading amount of an APP at a first application downloading server is 5000, the downloading amount of an APP at a second application downloading server is 1000, and then a first APP tag text is as follows: tool, custom keyboard, 5000, tool, input method, 1000. Those skilled in the art will appreciate that the first APP tag text may have a variety of other expressions, such as: tool, 5000, custom keyboard, 5000, tool, 1000, input method, 1000. It will be understood by those skilled in the art that the specific expression of the first APP tag text is not intended to limit the scope of the present invention.

In a preferred embodiment of the present invention, said first APP tag text comprises said n₁All text elements of the group directory text are merged and the same text element is in the same state as the n₁The total download amount of each application download server corresponding to the group directory text, for example, when n ═ n₁The first set of directory text is: the second directory text is: a tool,The input method comprises the steps that the downloading amount of an APP at a first application downloading server is 5000, the downloading amount of an APP at a second application downloading server is 1000, and then a first APP tag text is as follows: tool 6000, custom keyboard 5000, input method 1000. Those skilled in the art will appreciate that the first APP tag text may have a variety of other expressions, such as: tools, custom keyboards, input methods, 6000, 5000, 1000. It will be understood by those skilled in the art that the specific expression of the first APP tag text is not intended to limit the scope of the present invention.

Step S200, according to n₂The description text obtains a second APP tag text. According to the invention, the description text of the APP on each application download server is stored separately, so that n can be obtained₂A description text of the APP, wherein n₂N (some application download servers do not exist or cannot obtain APP description text). In the invention, in order to obtain the tag text of the APP, the commonly used word segmentation method and/or manual word segmentation method in the prior art are/is adopted to segment the description text of the APP in each application download server so as to obtain n of the APP₂Group feature word text.

Specifically, in one embodiment of the present invention, the second APP tag text includes the n₂Group feature word text. Illustratively, when n ═ n₂2, and the first set of feature word texts is: pronunciation, handwriting, pinyin, stroke, local degree of depth study, simple, dazzling, the second group of characteristic word text is: pronunciation, handwriting, pinyin, input method, expression, gadget, then second APP label text is: voice, handwriting, pinyin, stroke, local deep learning, simple, animated, voice, handwriting, pinyin, input methods, expression, gadget.

In a preferred embodiment of the present invention, the second APP tag text is the n₂Union of all text elements of the text of the group-feature word, e.g. when n ═ n₂2, and the first set of feature word texts is: pronunciation, handwriting, pinyin, stroke, local degree of depth study, simple, dazzling, the second group of characteristic word text is: speech, handwriting, phonetic alphabet and inputEntering a law, an expression and a small tool, wherein the second APP label text is as follows: voice, handwriting, pinyin, strokes, local deep learning, simplicity, animation, input methods, expressions, gadgets.

According to another embodiment of the invention, said second APP tag text comprises said n₂A group feature word text and a number of times that the same text element in the feature word text appears in the group feature word text. Illustratively, when n ═ n₂2, the first set of feature word texts is: pronunciation, handwriting, pinyin, stroke, local degree of depth study, simple, dazzle, pronunciation, the second group of characteristic word text is: pronunciation, handwriting, pinyin, input method, expression, handwriting, gadget, then the number of times that known text element "pronunciation" appears in first group characteristic word text is 2, and the number of times that other text elements in first group characteristic word text appear in first group characteristic word text is 1, and the number of times that text element "handwriting" appears in second characteristic word text is 2, and the number of times that other text elements in second group characteristic word text appear in second group characteristic word text is 1, and at this moment, second APP label text is: voice, handwriting, pinyin, stroke, local deep learning, simple, dazzling, 2, 1, voice, handwriting, pinyin, input method, expression, gadget, 1, 2, 1. Those skilled in the art will appreciate that the second APP tag text may have a variety of other expressions, such as: voice, 2, handwriting, 1, pinyin, 1, stroke, 1, local deep learning, 1, simple, 1, dazzling, 1, voice, 1, handwriting, 2, pinyin, 1, input method, 1, expression, 1, gadget, 1. It will be understood by those skilled in the art that the specific expression of the second APP tag text is not intended to limit the scope of the present invention.

In a preferred embodiment of the present invention, said second APP tag text comprises said n₂The union of all text elements in the group characteristic word text and the same text element in the n₂The sum of the number of occurrences in the text of the group-feature word, for example, when n ═ n₂2, the first set of feature word texts is: speech, handwriting, phonetic, stroke, local depthDegree study, simple, dazzling, pronunciation, the second group of feature word text is: pronunciation, handwriting, pinyin, input method, expression, handwriting, gadget, then the number of times that known text element "pronunciation" appears in first group characteristic word text and second group characteristic word text is 3, the number of times that text element "handwriting" appears in first group characteristic word text and second group characteristic word text is 3, the number of times that text element "pinyin" appears in first group characteristic word text and second group characteristic word text is 2, the number of times that other text elements appear in first group characteristic word text and second group characteristic word text is 1, at this moment, second APP label text is: voice, 3, handwriting, 3, pinyin, 2, stroke, 1, local deep learning, 1, simple, 1, dazzling, 1, input method, 1, expression, 1, gadget, 1. Those skilled in the art will appreciate that the second APP tag text may have a variety of other expressions, such as: voice, handwriting, pinyin, stroke, local deep learning, simple, dazzling, input method, expression, gadget, 3, 2, 1. It will be understood by those skilled in the art that the specific expression of the second APP tag text is not intended to limit the scope of the present invention.

And step S300, obtaining the APP static portrait label at least according to the first APP label text and the second APP label text. According to the invention, the APP static portrait label at least comprises a first APP label text and/or a second APP label text.

Step S400, storing an APP portrait tag, wherein the APP portrait tag comprises the APP static portrait tag. According to the invention, the APP image tag can be stored in the computing device, and can also be stored in any other place where the APP image tag can be conveniently obtained, such as a server and the like.

Wherein, the steps S100 and S200 may exchange execution orders.

By integrating the contents, the invention obtains the static portrait label for expressing the APP by obtaining the directory text, the description text and/or the application download amount of the APP on the plurality of application download servers, and the static portrait label can reflect the behavior and habit tendency commonality characteristics of the terminal user to a certain extent, thereby being convenient for objectively describing the terminal user.

According to one embodiment of the invention, the APP representation tag further comprises an APP dynamic representation tag. At this time, the step S300 further includes:

step S320, a POI list and/or a WOI list corresponding to the APP in a preset geographic area in a first time period T are obtained. According to the invention, the value range of the first time period T is [2 weeks, 12 weeks ], preferably 4 weeks; the preset geographic area is a designated administrative area or a geo-fenced area, and may be, for example, beijing, sikawa, etc. According to the invention, the POI list and/or the WOI list (WOI is WiFi to which the mobile terminal is connected) may be stored in various formats, such as excel table, preferably in text format.

Specifically, the step S320 includes:

step S3201, obtaining a terminal POI text POI of the mobile terminal in the preset area within a first time period T₁、POI₂、…、POI_xAnd/or terminal WOI text WOI₁、WOI₂、…、WOI_xWherein the terminal POI text POI_uAll POI information, terminal WOI text WOI of the u-th mobile terminal in the preset area in the first time period T_uAnd u is more than or equal to 1 and less than or equal to x for all WOI information of the u-th mobile terminal in the preset area in the first time period T. Specifically, the SDK built in the mobile terminal uploads a collected mobile terminal APP list, a timestamp, geographical location information, POI information and/or WOI information according to a preset time interval, when the APP list comprises a target APP, the timestamp meets the first time period T, the geographical location information meets the preset area, a terminal POI text of the mobile terminal is obtained according to the POI information, and/or a terminal WOI text of the mobile terminal is obtained according to the WOI information.

Step S3202, according to POI₁、POI₂、…、POI_xObtaining regional POI text, and/or according to WOI₁、WOI₂、…、WOI_xObtaining regional WOI text, wherein the regional POI text comprises POI₁、POI₂、…、POI_xAnd the text elements of the same terminal POI in the POI₁、POI₂、…、POI_xThe regional WOI text comprises WOI₁、WOI₂、…、WOI_xAnd the same terminal WOI text element in WOI₁、WOI₂、…、WOI_xThe number of occurrences in (c). Exemplarily, x is 2, and POI₁For office buildings, Xinhua bookstores, people parks, POIs₂In the first school, newhua bookshop, the regional POI text is: office building, 1, Xinhua bookshop, 2, people park, 1, first school, 1.

Step S3203, a POI list and/or a WOI list is obtained according to the regional POI text and/or the regional WOI text. Specifically, in this step, if the number of occurrences of a non-numeric text element corresponding to a non-numeric text element in the area POI text is less than or equal to a first determination threshold, at least the non-numeric text element belongs to the POI list, and if the number of occurrences of a non-numeric text element corresponding to a non-numeric text element in the area WOI text is less than or equal to a second determination threshold, at least the non-numeric text element belongs to the WOI list. For example, if the first determination threshold is 1, as can be seen from the above-described example, the POI list may be: office buildings, people hospitals and first middle school. As can be known to those skilled in the art, the first judgment threshold and the second judgment threshold may be adjusted as needed, and different types of information of the APP in the preset area may be obtained according to the POI list and the WOI list by setting different first judgment thresholds and different second judgment thresholds, for example, when both the first judgment threshold and the second judgment threshold are set to be larger, more positions where the APP gathers in the preset area in the first time period T, such as a work gathering place and a living gathering place, may be obtained; when the first and second decision thresholds are set to other values, the non-working and living gathering locations of the APP in the preset area, such as the leisure and entertainment places of the end customers, within the first time period T may be obtained.

And step S340, acquiring a third APP label text according to the POI list and/or the WOI list. Specifically, in one embodiment of the present invention, the third APP tag text includes the POI list and/or the WOI list; in another embodiment of the present invention, the third APP tag text is a union of the POI list and the WOI list.

And step S360, obtaining the APP dynamic portrait label at least according to the third APP label text.

By integrating the contents, the dynamic characteristics of the APP of the mobile terminal in the preset time period in the area can be further acquired by acquiring the POI text and/or WOI text of the mobile terminal in the preset geographic area, namely the personalized characteristics of the APP in the preset area, so that the APP portrait label is enriched, and the terminal user can be conveniently and comprehensively expressed.

Moreover, other implementations of the invention will be apparent to those skilled in the art from consideration of the specification of the invention disclosed herein. The embodiments and/or aspects of the embodiments can be used in the systems and methods of the present invention alone or in any combination. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

Claims (7)

1. A computing device to obtain an APP portrait label, the computing device comprising a processor and a non-transitory storage medium storing a computer program; the computing equipment is characterized in that the computing equipment can acquire n1 groups of directory texts and n2 description texts of the APP in n application download servers, wherein n1 is less than or equal to n, and n2 is less than or equal to n; the directory text is an M-level category directory text of the APP on the application download server; and when executed by the processor, performs the steps of:

step S100, obtaining a first APP label text according to the n1 group directory text; the computing device can further obtain the downloading amount of the APP on n application download servers, where the first APP tag text includes a union of all text elements of the n1 group directory text, and a sum of the downloading amounts of the same text elements on each application download server corresponding to the n1 group directory text;

step S200, obtaining a second APP label text according to the n2 description texts;

step S300, obtaining APP static portrait labels at least according to the first APP label text and the second APP label text;

step S400, storing APP portrait tags, wherein the APP portrait tags comprise the APP static portrait tags; wherein, the steps S100 and S200 may exchange execution orders;

the APP portrait label also comprises an APP dynamic portrait label; the step S300 further includes:

step S320, a POI list and/or a WOI list corresponding to the APP in a preset area in a first time period T are obtained;

step S340, acquiring a third APP label text according to the POI list and/or the WOI list;

step S360, obtaining an APP dynamic portrait label at least according to a third APP label text;

the step S320 includes:

step S3201, obtaining terminal POI texts POI1, POI2, … and POIx and/or terminal WOI texts WOI1, WOI2, … and WOIx of the mobile terminal in the preset area within a first time period T, wherein the terminal POI texts POIu are all POI information of the u-th mobile terminal in the preset area within the first time period T, the terminal WOI texts WOIu are all WOI information of the u-th mobile terminal in the preset area within the first time period T, and u is more than or equal to 1 and less than or equal to x;

step S3202, obtaining region POI text according to POI1, POI2, …, POIx, wherein the region POI text comprises a union of all text elements of POI1, POI2, …, POIx and a number of times that a same terminal POI text element appears in POI1, POI2, …, POIx, and/or obtaining region WOI text according to WOI1, WOI2, …, WOIx, wherein the region WOI text comprises a union of all text elements of WOI1, WOI2, …, WOIx and a number of times that a same terminal WOI text element appears in WOI1, WOI2, …, WOIx;

step S3203, a POI list and/or a WOI list are/is obtained according to the area POI text and/or the area WOI text; specifically, in this step, if the number of occurrences of a non-numeric text element corresponding to a non-numeric text element in the area POI text is less than or equal to a first determination threshold, at least the non-numeric text element belongs to the POI list, and if the number of occurrences of a non-numeric text element corresponding to a non-numeric text element in the area WOI text is less than or equal to a second determination threshold, at least the non-numeric text element belongs to the WOI list.

2. The computing device of claim 1, wherein n ranges in value from [10, 30 ].

3. The computing device of claim 1, wherein the first APP tag text is a union of all text elements of the n1 group directory text.

4. The computing device of any of claims 1-3, wherein the second APP tag text is a union of all text elements of n2 groups of feature word text, wherein the n2 groups of feature word text are obtained by tokenizing the description text of the APP in each application download server using a tokenization method.

5. The computing device of any of claims 1-3, wherein the APP static representation tags include at least a first APP tag text and/or a second APP tag text.

6. The computing device of claim 5, wherein T has a value in a range of [2 weeks, 12 weeks ].

7. The computing device of claim 1, wherein in step S340, the third APP tag text comprises the POI list and/or the WOI list.

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