CN113268671B - Applet information push filtering method and system - Google Patents
Applet information push filtering method and system Download PDFInfo
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- CN113268671B CN113268671B CN202110690565.7A CN202110690565A CN113268671B CN 113268671 B CN113268671 B CN 113268671B CN 202110690565 A CN202110690565 A CN 202110690565A CN 113268671 B CN113268671 B CN 113268671B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9536—Search customisation based on social or collaborative filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
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Abstract
The application provides a method and a system for pushing and filtering applet information, wherein the method comprises the following steps: the method comprises the steps that a smart phone obtains a login account of an application program, and professional information corresponding to the login account is extracted; the method comprises the steps that the smart phone obtains a plurality of applets of an application program and a plurality of keywords corresponding to the applets; the smart phone acquires a corresponding key phrase from the professional information; the intelligent mobile phone compares words contained in the keyword group with a plurality of keywords one by one to determine n keywords same as the words, determines n applets corresponding to the n keywords as applets preferentially recommended by information, and preferentially displays the applets on a user interface of an application program when the applets preferentially recommended by the information have recommendation information. The technical scheme provided by the application has the advantage of high user experience.
Description
Technical Field
The application relates to the technical field of big data, in particular to a small program information push filtering method and system.
Background
An applet, such as the Wechat applet, the English name Wechat Mini Program, is an application that can be used without downloading and installation, which implements the illusion that the application is "hand reachable" and can be opened by a user scanning or searching. The WeChat applet is an application that can be used without downloading and is also an innovation, and through the development of the last two years, a new WeChat applet development environment and developer ecology have been constructed.
A developer with a subject type of enterprise, government, media, other organization, or individual may apply for a registration applet. The existing small program information pushing or filtering is inconvenient to use, and the use experience of a user is influenced.
Disclosure of Invention
The embodiment of the application provides a method for pushing and filtering applet information, which can realize pushing or filtering of the applet information and improve user experience.
In a first aspect, an embodiment of the present application provides an applet information push filtering method, including:
the method comprises the steps that a smart phone obtains a login account of an application program, and professional information corresponding to the login account is extracted;
the method comprises the steps that the smart phone obtains a plurality of applets of an application program and a plurality of keywords corresponding to the applets; the smart phone acquires a corresponding key phrase from the professional information;
the intelligent mobile phone compares words contained in the keyword group with a plurality of keywords one by one to determine n keywords the same as the words, determines n applets corresponding to the n keywords as applets recommended by information preferentially, and preferentially displays the applets on a user interface of an application program when the applets recommended by the information preferentially have recommendation information.
In a second aspect, there is provided an applet information push filtering system, the system comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a login account of an application program and extracting professional information corresponding to the login account;
the processing unit is used for acquiring a plurality of applets of the application program and a plurality of keywords corresponding to the applets; acquiring a corresponding key phrase from the professional information; the words contained in the keyword group are compared with the multiple keywords one by one to determine n keywords the same as the words, n applets corresponding to the n keywords are determined as the applets recommended by the information priority, and when the applets recommended by the information priority have recommendation information, the smart phone preferentially displays the recommended applets on a user interface of an application program.
In a third aspect, a computer-readable storage medium is provided, which stores a program for electronic data exchange, wherein the program causes a terminal to execute the method provided in the first aspect.
The embodiment of the application has the following beneficial effects:
according to the technical scheme, the smart phone acquires the login account of the application program and extracts the professional information corresponding to the login account; the method comprises the steps that the smart phone obtains a plurality of applets of an application program and a plurality of keywords corresponding to the applets; the smart phone acquires a corresponding key phrase from the professional information; the intelligent mobile phone compares words contained in the keyword group with a plurality of keywords one by one to determine n keywords same as the words, determines n applets corresponding to the n keywords as applets preferentially recommended by information, and preferentially displays the applets on a user interface of an application program when the applets preferentially recommended by the information have recommendation information. Therefore, the method and the system can perform priority recommendation on the small programs matched with the professional information, improve the priority recommendation efficiency of the information and improve the user experience.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a computer device.
Fig. 2 is a schematic flowchart of an applet information push filtering method according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an applet information pushing and filtering system provided in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 provides a computer device, which may specifically include: the device comprises a processor, a memory, a camera and a display screen, wherein the components can be connected through a bus or in other ways, and the application is not limited to the specific way of the connection. In practical applications, the computer device may be a personal computer, a server, a tablet computer, a smart phone, or the like.
The applet in the present application takes the WeChat applet as an example, and certainly in practical applications, the applet can also be other applets, such as a hundred-degree applet, a Payment small applet, and the like. The existing information pushing of the applet is based on default pushing, that is, the pushed information of the applet concerned by the user is displayed on a user operation interface (such as a wechat interface) by messages, which causes a lot of useless information to be pushed to the user, but the useful information to the user cannot be pushed to the user, which causes inconvenience in receiving the information of the user.
Referring to fig. 2, fig. 2 provides an applet information push filtering method, which may be executed by a computer device, the structure of which may be as shown in fig. 1, and the method as shown in fig. 2, including the following steps:
step S201, the smart phone acquires a login account of an application program and extracts professional information corresponding to the login account;
step S202, the smart phone acquires a plurality of applets of the application program and a plurality of keywords corresponding to the applets; the smart phone acquires a corresponding key phrase from the professional information;
the keyword group corresponding to the professional information can be queried in the preset mapping relationship between the professional information and the keyword group, and certainly, the keyword group can also be obtained by querying in other manners.
Step S203, the smart phone compares the word included in the keyword group with a plurality of keywords one by one to determine n keywords identical to the word, determines n applets corresponding to the n keywords as the applets recommended by the information priority, and preferentially displays the applets recommended by the information priority on a user interface of the application program (for example, the applets may be arranged at the top, etc.) when the applets recommended by the information priority have recommendation information.
The n may be an integer of 1 or more.
According to the technical scheme, the smart phone acquires a login account of an application program and extracts professional information corresponding to the login account; the method comprises the steps that the smart phone obtains a plurality of applets of an application program and a plurality of keywords corresponding to the applets; the smart phone acquires a corresponding key phrase from the professional information; the intelligent mobile phone compares words contained in the keyword group with a plurality of keywords one by one to determine n keywords same as the words, determines n applets corresponding to the n keywords as applets preferentially recommended by information, and preferentially displays the applets on a user interface of an application program when the applets preferentially recommended by the information have recommendation information. Therefore, the method and the system can perform priority recommendation on the small programs matched with the professional information, improve the priority recommendation efficiency of the information and improve the user experience.
For example, if the professional information corresponding to the login account is a lawyer, the keyword group may include words: the recommendation information of the applets corresponding to the court program may carry official information, such as "shenzhen mobile micro court", "shenzhen law agreement", "guangdong province judicial office", and the like, and the recommendation information of the applets, such as citations, court information, and the like of the court program, needs to be recommended to the user for learning first, and does not need to be the recommendation information of other applets, such as the concerned applets, such as "seafloor fishing", and the like, need not be concerned.
For example, the method may further include:
the remaining applets (except for the n applets) are determined by the smartphone as the information-filtered applets, and the smartphone ignores the recommendation information (i.e., filters the recommendation information) when the information-filtered applets have the recommendation information.
According to the technical scheme, the recommendation information can be filtered, and the situation that the judgment of the user is influenced by excessive recommendation information is avoided.
For example, the method may further include:
calling a first coordinate of a current position by an application program (an application program corresponding to the applet) of the smart phone, inquiring a parking payment applet (such as quick parking, quick parking and the like) corresponding to the position name from an existing applet list according to the position name corresponding to the first coordinate if the position name is the name of a shopping center, always displaying the recommendation information of the parking payment applet on top, and canceling the top setting of the recommendation information of the parking payment applet after determining that parking consumption is successful.
According to the technical scheme, the parking payment small program is inconvenient to inquire, the recommendation information, particularly the parking payment information, is only used at specific time, and the arrangement mode of the existing recommendation information cannot be set to the top, so that a user either needs to scan codes or needs to view historical information when paying, if the historical information is more, the user can not conveniently view the codes, most of the users pay the parking payment after starting the vehicle, the payment safety is influenced, and the user can be prevented from being checked by setting the top of the specific payment small program.
For example, the method may further include:
the smart phone compares words contained in the keyword group with the plurality of keywords one by one to determine matching degrees of the keyword group and the plurality of keywords, and configures priority levels of a plurality of applets corresponding to the plurality of keywords according to the matching degrees, wherein the priority levels are used for sequencing the display sequence of the recommendation information.
The matching degree may be determined in various ways, for example, if a word of the keyword group (which may be one word or a plurality of words) includes one of a plurality of keywords, the word is determined as a medium priority, if the word of the keyword group includes two or more of the plurality of keywords, the word is determined as a high priority, and if the word of the keyword group does not include the plurality of keywords, the word is determined as a low priority.
Referring to fig. 3, fig. 3 provides an applet information push filtering system, the system comprising:
an obtaining unit 301, configured to obtain a login account of an application program, and extract professional information corresponding to the login account;
a processing unit 302, configured to obtain multiple applets of an application program and multiple keywords corresponding to the multiple applets; acquiring a corresponding key phrase from the professional information; the words contained in the keyword group are compared with the plurality of keywords one by one to determine n keywords same as the words, n applets corresponding to the n keywords are determined as applets preferentially recommended by the information, and when the applets preferentially recommended by the information have recommended information, the smart phone preferentially displays the applets on a user interface of an application program.
As an example of this, it is possible to provide,
the processing unit 302 is further configured to determine the remaining applets as the information-filtered applets, and when the information-filtered applets have recommendation information, the smart phone ignores the recommendation information.
As an example of this, it is possible to use,
the processing unit 302 is further configured to call an application program to obtain a first coordinate of the current location, query, according to a location name corresponding to the first coordinate, a parking payment applet corresponding to the location name from an existing applet list if the location name is a shopping mall name, always top-display recommendation information of the parking payment applet, and cancel the top-setting of the recommendation information of the parking payment applet after determining that the parking consumption is successful.
As an example of this, it is possible to use,
the processing unit 302 is further configured to compare the words included in the keyword group with the multiple keywords one by one to determine matching degrees of the keyword group and the multiple keywords, and configure priority levels of multiple applets corresponding to the multiple keywords according to the matching degrees, where the priority levels are used to sort a display order of the recommendation information.
Embodiments of the present application further provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods as recited in the above method embodiments.
It should be noted that for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The foregoing embodiments have been described in detail, and specific examples are used herein to explain the principles and implementations of the present application, where the above description of the embodiments is only intended to help understand the method and its core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (7)
1. An applet information push filtering method, the method comprising:
the method comprises the steps that a smart phone obtains a login account of an application program, and professional information corresponding to the login account is extracted;
the method comprises the steps that the smart phone obtains a plurality of concerned applets of an application program and a plurality of keywords corresponding to the applets; the smart phone acquires a corresponding key phrase from the professional information;
the intelligent mobile phone compares words contained in the keyword group with a plurality of keywords one by one to determine n keywords same as the words, determines n applets corresponding to the n keywords as applets preferentially recommended by information, and preferentially displays recommendation information of the applets matched with the professional information on a user interface of an application program when the applets preferentially recommended by the information have the recommendation information;
the smart phone compares words contained in the keyword group with the plurality of keywords one by one to determine matching degrees of the keyword group and the plurality of keywords, and configures priority levels of a plurality of small programs corresponding to the plurality of keywords according to the matching degrees, wherein the priority levels are used for sequencing the display sequence of the recommended information;
the matching degree determination method specifically includes: if the word of the keyword group contains one of the plurality of keywords, the word is determined to be of medium priority, if the word of the keyword group contains two or more of the plurality of keywords, the word is determined to be of high priority, and if the word of the keyword group does not contain the plurality of keywords, the word is determined to be of low priority.
2. The method of claim 1, further comprising:
and the smart phone determines the rest applets as the information filtering applets, and ignores the recommendation information when the information filtering applets have the recommendation information.
3. The method of claim 1, further comprising:
the method comprises the steps that an application program of the smart phone calls a first coordinate of a current position, if the position name is a shopping center name according to the position name corresponding to the first coordinate, a parking payment applet corresponding to the position name is inquired from an existing applet list, recommended information of the parking payment applet is always displayed on the top, and after parking consumption is determined to be successful, top setting of the recommended information of the parking payment applet is cancelled.
4. An applet information push filter system, the system comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a login account of an application program and extracting professional information corresponding to the login account;
the processing unit is used for acquiring a plurality of concerned applets of the application program and a plurality of keywords corresponding to the applets; acquiring a corresponding key phrase from the professional information; the method comprises the steps that a word contained in a keyword group is compared with a plurality of keywords one by one to determine n keywords same as the word, n applets corresponding to the n keywords are determined as applets preferentially recommended by information, and when the applets preferentially recommended by the information have recommendation information, the smart phone preferentially displays recommendation information of the applets matched with occupational information on a user interface of an application program;
the processing unit is further configured to compare words contained in the keyword group with the plurality of keywords one by one to determine matching degrees of the keyword group and the plurality of keywords, and configure priority levels of a plurality of applets corresponding to the plurality of keywords according to the matching degrees, where the priority levels are used for sorting a display order of the recommended information;
the matching degree determination method specifically includes: if the word of the keyword group contains one of the plurality of keywords, the word is determined to be of medium priority, if the word of the keyword group contains two or more of the plurality of keywords, the word of the keyword group is determined to be of high priority, and if the word of the keyword group does not contain the plurality of keywords, the word of the keyword group is determined to be of low priority.
5. The system of claim 4,
the processing unit is further used for determining the remaining applets as the information-filtered applets, and the smart phone ignores the recommendation information when the information-filtered applets have the recommendation information.
6. The system of claim 4, further comprising:
the processing unit is further used for calling the application program to obtain a first coordinate of the current position, inquiring a parking payment applet corresponding to the position name from an existing applet list according to the position name corresponding to the first coordinate if the position name is the name of the shopping center, always displaying the recommendation information of the parking payment applet on top, and canceling the top setting of the recommendation information of the parking payment applet after the successful parking consumption is determined.
7. A computer-readable storage medium storing a program for electronic data exchange, wherein the program causes a terminal to execute the method according to any one of claims 1-3.
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| CN202110690565.7A CN113268671B (en) | 2021-06-22 | 2021-06-22 | Applet information push filtering method and system |
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| CN202110690565.7A CN113268671B (en) | 2021-06-22 | 2021-06-22 | Applet information push filtering method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2005085172A (en) * | 2003-09-10 | 2005-03-31 | Mitsuo Kato | Correlation search method and correlation search system |
| CN101848230A (en) * | 2010-01-27 | 2010-09-29 | 宇龙计算机通信科技(深圳)有限公司 | Method for pushing application program and application program server |
| CN107609047A (en) * | 2017-08-18 | 2018-01-19 | 广东小天才科技有限公司 | Using recommendation method, apparatus, mobile device and storage medium |
| CN107885841A (en) * | 2017-11-10 | 2018-04-06 | 郑州云海信息技术有限公司 | A kind of wechat small routine wisdom commending system |
| CN110968780B (en) * | 2018-09-30 | 2021-11-16 | 腾讯科技（深圳）有限公司 | Page content recommendation method and device, computer equipment and storage medium |
| CN109582881A (en) * | 2018-12-04 | 2019-04-05 | 北京唐冠天朗科技开发有限公司 | A kind of method and system obtaining public service data based on geographical location information |
| CN110222265B (en) * | 2019-05-28 | 2022-02-08 | 深圳市轱辘车联数据技术有限公司 | Information pushing method, system, user terminal and server |
| CN111083229B (en) * | 2019-12-24 | 2021-01-08 | 珠海大横琴科技发展有限公司 | Application information pushing method and device, electronic equipment and storage medium |
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