CN106790405A - A kind of mobile phone A PP information-pushing methods customized based on user and system - Google Patents
A kind of mobile phone A PP information-pushing methods customized based on user and system Download PDFInfo
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Abstract
The present invention relates to a kind of mobile phone A pp information-pushing methods customized based on user and system, comprise the following steps：App servers receive the keyword that user need to include by the pushed information of the self-defined input of App clients；The keyword of App server records each user inputs, sets up cluster keyword dictionary；App servers generate the filter condition of information pushing according to the cluster keyword dictionary；When App servers need to carry out information pushing, the user comprising nominal key is screened according to filter condition；App servers push information to the App clients of the user for filtering out.The keyword that need to be included by User Defined pushed information, App servers only push the information comprising its self defining keywords to each user.Everyone customization requirement can be more effectively embodied, customizability, interactive is improve, and support that any input keyword improves flexibility.Come into force in time after user input or modification keyword, improve the promptness of user's request reflection.
Description
Technical Field
The invention relates to the technical field of networks, in particular to a mobile phone APP information pushing method and system based on user customization.
Background
With the popularization and deep application of networks, the internet gathers extremely rich information resources, and under the network environment of information explosion, people no longer satisfy the active information acquisition mode of portal sites and search engines, and expect to acquire information resources related to own interests, rich sources and vivid themes in a customizable and instant mode through content monitoring. One common way is by pushing information. Because the mobile phone has the advantages of high popularization rate, portability and strong information instantaneity compared with a computer, the information push of the mobile phone App is developed rapidly.
The current App information pushing mechanism is shown in fig. 1: the App server processes the information and immediately pushes various notification information to the mobile phone App client.
The information push of the mobile phone App is essentially hoped to send the latest information to the terminal user through the channel, and the latest information and the user form good interaction, so that the user experience of the App is improved. However, an invalid push will result in the opposite effect. When information is pushed by many apps, the apps choose to directly push the information to all users (broadcast), content is homogeneous and lacks interactivity, which inevitably results in a part of the user's objections that are not interested in the topic of pushing this time and does not exert the value of the content. If this happens frequently, the disturbed user may even have the idea of uninstalling the App. Therefore, how to rapidly and accurately present the information required by the user to the user, and further provide personalized information service for the user becomes a problem to be solved by the App for information push.
A common solution at present is a method based on a user portrait, an App server performs fine classification on target users according to user attributes to generate a feature tag of each type of users, prints portrait tags representing features for each type of users, and performs targeted information push according to the respective tags of the users. The refined classification is based on analyzing user attributes including characteristics of the gender, age, social status, geographic position, consumption habits of the user, family conditions and the like of the user, predicting behavior characteristics such as potential demand frequency and consumption capacity of the user and the like, and further classifying and marking labels for identifying the characteristics. When information pushing is needed, the App server determines the type of user to which the information is pushed according to the label of the user, and finally pushes the information to the mobile phone App client side of the user with the specific characteristics. This results in a differentiated information push capability. However, the user attributes according to which the App server classifies the users do not include the user-defined keywords actively input by the users, the classification results depend on prediction or analysis of the user feature types, but the users cannot customize the pushing requirements, and are passively accepted by the users, so that customizability and interactivity of information pushing are limited, and the latest requirements of the users are difficult to reflect in time based on the user features obtained after historical analysis.
Another solution is based on "user subscription". The App recommends several user preference tag options, the user can order favorite tags in the user preference tag options, and when information pushing is needed, a proper user is selected for pushing according to the tags subscribed by the user. The method supports the user to select, improves the interactivity, but the flexibility needs to be improved due to the limited options.
Disclosure of Invention
In view of the foregoing analysis, the present invention aims to provide a mobile phone APP information pushing method and system based on user customization, so as to solve the problem that the existing mobile phone APP information pushing method is limited in customizability and interactivity and is difficult to reflect the latest requirements of users in time; or the problems of limited options and poor flexibility.
The purpose of the invention is mainly realized by the following technical scheme:
a mobile phone App information pushing method based on user customization is characterized by comprising the following steps:
step 201, an App server receives a keyword which is required to be included in push information input by a user through an App client;
step 202, an App server records keywords input by each user and establishes a clustering keyword lexicon;
step 203, the App server generates a filtering condition of information push according to the clustering keyword lexicon;
step 204, when the App server needs to carry out information push, screening out users including specified keywords according to filtering conditions;
and step 205, the App server pushes the information to the screened App client of the user.
The step 202 further comprises:
and clustering the keywords input by different users, and converting the keywords into clustering keywords in a clustering keyword lexicon.
The step 203 further comprises:
taking the clustering keywords as filtering conditions for information pushing; the filtering condition is a relation list, including: the user group and one or more clustering keywords corresponding to the user group.
The step 203 further comprises:
the App server may select a hierarchy of a relational list of filter conditions for information push.
The step 204 further comprises:
after acquiring the message to be pushed, the App server compares the keywords extracted from the message to be pushed with the clustering keyword lexicon established in the step 203 to obtain the corresponding clustering keywords;
and the APP server inquires the obtained clustering keywords in the filtering condition to screen out a corresponding user group.
The step 204 further comprises:
and the App server selects the hierarchy of the relation list of the filter conditions of the information push according to the size of the pushed range.
The step 202 further comprises:
sorting the clustering keyword lexicon according to the input times of the keywords;
selecting N clustering keywords in the top sequence to be displayed in an input interface of an App client, and selecting by a user;
meanwhile, the user can input other keywords in the input interface.
The step 203 further comprises:
except clustering keywords, the App server takes the message type, the message style, the region information and the time information in the pushing attribute information input by the user as a part of the filtering condition; or,
the message to be pushed comprises a message type, a message style, region information and time information and is used as a part of a keyword of the message.
A mobile phone App information pushing system based on user customization is characterized by comprising a receiving module, a clustering keyword lexicon generating module, a filtering condition generating module, a screening module and a pushing module, wherein,
the receiving module is used for receiving keywords which are input by a user through an App client in a user-defined mode and need to be included in the push information;
the cluster keyword lexicon generation module is used for recording keywords input by each user and establishing a cluster keyword lexicon;
the filtering condition generating module is used for generating filtering conditions for information pushing according to the clustering keyword lexicon;
the screening module is used for screening out users containing the specified keywords according to the filtering conditions when information pushing is needed;
and the pushing module is used for pushing the information to the App client of the screened user.
The invention has the following beneficial effects:
according to the mobile phone App pushing method and system based on user customization, the keywords which need to be included in the information are pushed by the user in a user-defined mode, and the App only pushes the information including the customized keywords to each user. The customization requirements of each person can be more effectively embodied, the customizability and the interactivity are further improved, and the flexibility is improved by supporting any input keywords. The keywords are input or modified by the user and then take effect in time, so that the timeliness of reflecting the user requirements is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention, wherein like reference numerals are used to designate like parts throughout.
Fig. 1 is a schematic diagram of a current App information pushing mechanism;
fig. 2 is a flowchart of a method for pushing App information of a mobile phone based on customization according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form a part hereof, and which together with the embodiments of the invention serve to explain the principles of the invention.
According to a specific embodiment of the present invention, a method for pushing App information of a mobile phone based on customization is disclosed, as shown in fig. 2, the method specifically includes the following steps:
step 201, an App server receives a keyword which is required to be included in push information input by a user through an App client in a user-defined mode.
For example, information distribution service is provided for a bidding APP, and a registered user inputs a custom keyword set at an APP client for customization, as shown in table 1.
Table 1: user-focused object definition keyword set
Step 202, the App server records keywords input by each user and establishes a clustering keyword lexicon.
When a large amount of keywords exist, the filtering workload is large, in order to further improve the processing efficiency, the keywords are clustered, namely the keywords input by different users are clustered, the keywords with similar contents are classified into one category and are associated into the same clustering keyword, and a clustering keyword lexicon is established.
For example, mobile, china mobile, beijing mobile will cluster as mobile; iron towers, iron tower companies and Chinese iron towers are clustered into iron towers.
And converting the keywords input by the user into clustering keywords in a clustering keyword lexicon.
And 203, generating a filtering condition of information push by the App server according to the clustering keyword thesaurus.
And grouping the users, wherein the users with the same clustering keywords are classified into the same user group, namely, the clustering keywords are used as filtering conditions for information pushing. Specifically, the filtering condition is a relationship list including:
the user group and one or more clustering keywords corresponding to the user group.
In a preferred embodiment, the App server may select a hierarchy of a relational list of filter terms for information push. Namely, dividing users with the same clustering keyword into a first-level same user group, and pushing as long as the message to be pushed contains the clustering keyword; dividing users with two same clustering keywords into a second-level same user group, and pushing if the two clustering keywords are combined in the message to be pushed; and so on.
As shown in Table 1, the keywords input by user A and user G are the same, and are both "terminal" and "Beijing", so that user A and user G are divided into the same user group.
Optionally, a filtering condition may be generated for each individual user, and then the filtering conditions are clustered to generate a filtering condition for the same user group.
Step 204, when the App server needs to carry out information push, screening out users containing specified keywords according to filtering conditions; in particular, the amount of the solvent to be used,
after the App server acquires a message to be pushed, selecting a pushing attribute characteristic of the message; the push attribute feature may include one or more of the following information: message type, message style, region information, time information and keywords. Wherein the keywords are extracted from the message text.
The App server compares the extracted keywords with the clustering keyword lexicon established in the step 203 to obtain corresponding clustering keywords;
and the APP server inquires the obtained clustering keywords in the filtering condition to screen out a corresponding user group.
And when the information to be pushed comprises keywords 'terminal' and 'Beijing', inquiring in the filtering condition, and finding that the user groups of the users A and G have the two clustering keywords, screening the user groups of the users A and G.
In a preferred embodiment, the App server may select a hierarchy of a relational list of filter terms for information push. That is, when a large-scale push is required, the first-level identical user group corresponding to the keyword having the largest weight is selected and pushed. When accurate pushing is needed, selecting the same user group at the second level or the same user group at the higher level corresponding to two or more keywords according to the weight to push.
And step 205, the App server pushes the information to the App client of the screened user group.
And the App server sends the push message group to users, namely users A and G, contained in the user group.
The similar keywords can be filtered once to push the information to all the affiliated users, so that the workload of repeated filtering is reduced.
In a preferred embodiment, the App server generates a keyword selection list according to historical keyword input data of all users, and the users select the keyword selection list at an App client; in particular, the amount of the solvent to be used,
the App server records key words input by each user through an App client;
clustering the keywords, namely clustering the keywords input by different users, classifying the keywords with similar contents into one class, associating the keywords with the same clustering keyword, and establishing a clustering keyword lexicon;
sorting the clustering keyword lexicon according to the input times of the keywords; specifically, the keyword input times within a preset time period, such as the keyword input frequency of a user in a quarter, a month or a week, may be counted to reflect the user's needs more timely. And in the process of counting, overlapping the input times of the keywords with similar contents to serve as the input times of the clustering keywords.
And selecting N clustering keywords before sorting to be displayed in an input interface of the App client, and selecting by a user, specifically, displaying the N clustering keywords before sorting in a selection area at the lower part of the input interface of the App client, and selecting the required clustering keywords by clicking on a screen by the user. Meanwhile, if the N clustering keywords before the sorting do not completely cover the user requirements, the user can input other keywords in the input interface to better describe the self requirements.
In another preferred embodiment, the App server generates a targeted keyword selection list according to the historical keyword input data of each user, and the user selects the keyword selection list at the App client; in particular, the amount of the solvent to be used,
the App server records key words input by each user through an App client;
clustering the keywords, namely clustering the keywords input by different users, classifying the keywords with similar contents into one class, associating the keywords with the same clustering keyword, and establishing a clustering keyword lexicon; and according to the historical input records of the single user, selecting the clustering keywords of the keywords input by the single user from the clustering keyword lexicon, and establishing the clustering keyword lexicon of the single user.
Sequencing the clustering keyword lexicon of the single user according to the input times of the keywords of the single user; specifically, the keyword input times within a preset time period, such as the keyword input frequency of a user in a quarter, a month or a week, may be counted to reflect the user's needs more timely. And in the process of counting, overlapping the input times of the keywords with similar contents to serve as the input times of the clustering keywords.
And selecting N clustering keywords before sorting to be displayed in an input interface of the App client, and selecting by a user, specifically, displaying the N clustering keywords before sorting in a selection area at the lower part of the input interface of the App client, and selecting the required clustering keywords by clicking on a screen by the user. Meanwhile, if the N clustering keywords before the sorting do not completely cover the user requirements, the user can input other keywords in the input interface to better describe the self requirements.
In a preferred embodiment, in addition to clustering keywords, the App server may use the message type, message style, region information, and time information input by the user as part of the filtering condition for more accurate pushing information. Alternatively, the push-to-talk message may also include the message type, message style, region information, and time information as part of the keyword.
In a preferred embodiment, a user may modify keywords to be included in the pushed information at the App client at any time, and the App server adjusts the clustering keyword lexicon and the filtering condition of information pushing periodically, such as daily, weekly, and monthly, according to user input, so as to improve the timeliness of reflecting the user requirements.
According to another specific embodiment of the invention, a mobile phone App information pushing system based on user customization is disclosed, which is used for executing the method, and comprises a receiving module, a clustering keyword word bank generating module, a filtering condition generating module, a screening module: in particular, the amount of the solvent to be used,
and the receiving module is used for receiving keywords which are required to be contained in the pushing information input by the user through the App client in a user-defined mode.
And the clustering keyword lexicon generation module is used for recording keywords input by each user and establishing a clustering keyword lexicon.
When a large amount of keywords exist, the filtering workload is large, in order to further improve the processing efficiency, the keywords are clustered, namely the keywords input by different users are clustered, the keywords with similar contents are classified into one category and are associated into the same clustering keyword, and a clustering keyword lexicon is established.
For example, mobile, china mobile, beijing mobile will cluster as mobile; iron towers, iron tower companies and Chinese iron towers are clustered into iron towers.
And converting the keywords input by the user into clustering keywords in a clustering keyword lexicon.
And the filtering condition generating module is used for generating filtering conditions for information pushing according to the clustering keyword lexicon.
And grouping the users, wherein the users with the same clustering keywords are classified into the same user group, namely, the clustering keywords are used as filtering conditions for information pushing. Specifically, the filtering condition is a relationship list including:
the user group and one or more clustering keywords corresponding to the user group.
In a preferred embodiment, the filter condition generation module may select a hierarchy of a relational list of filter conditions for information push. Namely, dividing users with the same clustering keyword into a first-level same user group, and pushing as long as the message to be pushed contains the clustering keyword; dividing users with two same clustering keywords into a second-level same user group, and pushing if the two clustering keywords are combined in the message to be pushed; and so on.
As shown in Table 1, the keywords input by user A and user G are the same, and are both "terminal" and "Beijing", so that user A and user G are divided into the same user group.
Optionally, a filtering condition may be generated for each individual user, and then the filtering conditions are clustered to generate a filtering condition for the same user group.
The screening module is used for screening out users including the specified keywords according to the filtering conditions when information pushing is needed; in particular, the amount of the solvent to be used,
after obtaining a message to be pushed, a screening module selects the pushing attribute characteristic of the message; the push attribute feature may include one or more of the following information: message type, message style, region information, time information and keywords. Wherein the keywords are extracted from the message text.
The screening module compares the extracted keywords with the clustering keyword lexicon established in the step 203 to obtain corresponding clustering keywords;
and the screening module inquires the obtained clustering keywords in the filtering condition to screen out the corresponding user group.
And when the information to be pushed comprises keywords 'terminal' and 'Beijing', inquiring in the filtering condition, and finding that the user groups of the users A and G have the two clustering keywords, screening the user groups of the users A and G.
In a preferred embodiment, the filtering module may select a hierarchy of a relational list of filter terms for information push. That is, when a large-scale push is required, the first-level identical user group corresponding to the keyword having the largest weight is selected and pushed. When accurate pushing is needed, selecting the same user group at the second level or the same user group at the higher level corresponding to two or more keywords according to the weight to push.
And the pushing module is used for pushing the information to the App client of the screened user group.
And the pushing module sends the message group with the pushing function to users, namely users A and G, contained in the user group.
The similar keywords can be filtered once to push the information to all the affiliated users, so that the workload of repeated filtering is reduced.
In a preferred embodiment, the clustering keyword lexicon generation module generates a keyword selection list according to historical keyword input data of all users, and the users select the keyword selection list at the App client; in particular, the amount of the solvent to be used,
the App server records key words input by each user through an App client;
clustering the keywords, namely clustering the keywords input by different users, classifying the keywords with similar contents into one class, associating the keywords with the same clustering keyword, and establishing a clustering keyword lexicon;
sorting the clustering keyword lexicon according to the input times of the keywords; specifically, the keyword input times within a preset time period, such as the keyword input frequency of a user in a quarter, a month or a week, may be counted to reflect the user's needs more timely. And in the process of counting, overlapping the input times of the keywords with similar contents to serve as the input times of the clustering keywords.
And selecting N clustering keywords before sorting to be displayed in an input interface of the App client, and selecting by a user, specifically, displaying the N clustering keywords before sorting in a selection area at the lower part of the input interface of the App client, and selecting the required clustering keywords by clicking on a screen by the user. Meanwhile, if the N clustering keywords before the sorting do not completely cover the user requirements, the user can input other keywords in the input interface to better describe the self requirements.
In another preferred embodiment, the App server generates a targeted keyword selection list according to the historical keyword input data of each user, and the user selects the keyword selection list at the App client; in particular, the amount of the solvent to be used,
the receiving module records key words input by each user through the App client;
clustering keywords by a clustering keyword lexicon generation module, namely clustering the keywords input by different users, classifying the keywords with similar contents into one class, associating the keywords with the same clustering keyword, and establishing a clustering keyword lexicon; and according to the historical input records of the single user, selecting the clustering keywords of the keywords input by the single user from the clustering keyword lexicon, and establishing the clustering keyword lexicon of the single user.
Sequencing the clustering keyword lexicon of the single user according to the input times of the keywords of the single user; specifically, the keyword input times within a preset time period, such as the keyword input frequency of a user in a quarter, a month or a week, may be counted to reflect the user's needs more timely. And in the process of counting, overlapping the input times of the keywords with similar contents to serve as the input times of the clustering keywords.
And selecting N clustering keywords before sorting to be displayed in an input interface of the App client, and selecting by a user, specifically, displaying the N clustering keywords before sorting in a selection area at the lower part of the input interface of the App client, and selecting the required clustering keywords by clicking on a screen by the user. Meanwhile, if the N clustering keywords before the sorting do not completely cover the user requirements, the user can input other keywords in the input interface to better describe the self requirements.
In a preferred embodiment, in addition to the clustering keywords, the filtering condition generating module may further use the message type, the message style, the region information, and the time information input by the user as a part of the filtering condition for more accurate pushing of information. Alternatively, the push-to-talk message may also include the message type, message style, region information, and time information as part of the keyword.
In summary, embodiments of the present invention provide a method and a system for pushing App information on a mobile phone based on user customization, where a user customizes keywords that need to be included in the pushed information, and the App only pushes information including the customized keywords to each user. The customization requirements of each person can be more effectively embodied, the customizability and the interactivity are further improved, and the flexibility is improved by supporting any input keywords. The keywords are input or modified by the user and then take effect in time, so that the timeliness of reflecting the user requirements is improved.
Those skilled in the art will appreciate that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program, which is stored in a computer readable storage medium, to instruct related hardware. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (9)
1. A mobile phone App information pushing method based on user customization is characterized by comprising the following steps:
step 201, an App server receives a keyword which is required to be included in push information input by a user through an App client;
step 202, an App server records keywords input by each user and establishes a clustering keyword lexicon;
step 203, the App server generates a filtering condition of information push according to the clustering keyword lexicon;
step 204, when the App server needs to carry out information push, screening out users containing specified keywords according to filtering conditions;
and step 205, the App server pushes the information to the screened App client of the user.
2. The mobile phone App information pushing method based on user customization according to claim 1, wherein the step 202 further comprises:
and clustering the keywords input by different users, and converting the keywords into clustering keywords in a clustering keyword lexicon.
3. The mobile phone App information pushing method based on user customization according to claim 1, wherein the step 203 further comprises:
taking the clustering keywords as filtering conditions for information pushing; the filtering condition is a relation list, including: the user group and one or more clustering keywords corresponding to the user group.
4. The mobile phone App information pushing method based on user customization according to claim 3, wherein the step 203 further comprises;
the App server may select a hierarchy of a relational list of filter conditions for information push.
5. The mobile phone App information pushing method based on user customization according to claim 3, wherein the step 204 further comprises:
after acquiring the message to be pushed, the App server compares the keywords extracted from the message to be pushed with the clustering keyword lexicon established in the step 203 to obtain the corresponding clustering keywords;
and the APP server inquires the obtained clustering keywords in the filtering condition to screen out a corresponding user group.
6. The mobile phone App information pushing method based on user customization according to claim 5, wherein the step 204 further comprises:
and the App server selects the hierarchy of the relation list of the filter conditions of the information push according to the size of the pushed range.
7. The mobile phone App information pushing method based on user customization according to claim 1, wherein the step 202 further comprises:
sorting the clustering keyword lexicon according to the input times of the keywords;
selecting N clustering keywords in the top sequence to be displayed in an input interface of an App client, and selecting by a user;
meanwhile, the user can input other keywords in the input interface.
8. The mobile phone App information pushing method based on user customization according to claim 1, wherein the step 203 further comprises:
except clustering keywords, the App server takes the message type, the message style, the region information and the time information in the pushing attribute information input by the user as a part of the filtering condition; or,
the message to be pushed comprises a message type, a message style, region information and time information and is used as a part of a keyword of the message.
9. A mobile phone App information pushing system based on user customization is characterized by comprising a receiving module, a clustering keyword lexicon generating module, a filtering condition generating module, a screening module and a pushing module, wherein,
the receiving module is used for receiving keywords which need to be included in push information input by a user through an App client in a user-defined mode;
the cluster keyword lexicon generation module is used for recording keywords input by each user and establishing a cluster keyword lexicon;
the filtering condition generating module is used for generating filtering conditions for information pushing according to the clustering keyword lexicon;
the screening module is used for screening out users containing the specified keywords according to the filtering conditions when information pushing is needed;
and the pushing module is used for pushing the information to the App client of the screened user.
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| CN109962945A (en) * | 2017-12-22 | 2019-07-02 | 云天弈（北京）信息技术有限公司 | A kind of information acquisition methods |
| CN110881056A (en) * | 2018-09-05 | 2020-03-13 | 百度在线网络技术（北京）有限公司 | Method and device for pushing information |
| CN111460308A (en) * | 2020-04-07 | 2020-07-28 | 贵阳块数据城市建设有限公司 | APP push system based on internet |
| CN112950256A (en) * | 2021-02-02 | 2021-06-11 | 广东便捷神科技股份有限公司 | Method and system for pushing customized advertisement form based on App |
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| CN109962945B (en) * | 2017-12-22 | 2021-08-31 | 云天弈（北京）信息技术有限公司 | Information acquisition method |
| CN110881056A (en) * | 2018-09-05 | 2020-03-13 | 百度在线网络技术（北京）有限公司 | Method and device for pushing information |
| CN111460308A (en) * | 2020-04-07 | 2020-07-28 | 贵阳块数据城市建设有限公司 | APP push system based on internet |
| CN112950256A (en) * | 2021-02-02 | 2021-06-11 | 广东便捷神科技股份有限公司 | Method and system for pushing customized advertisement form based on App |
| CN112950256B (en) * | 2021-02-02 | 2023-05-23 | 广东便捷神科技股份有限公司 | Method and system for customizing advertisement form based on App pushing |
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