CN109831472B - Information pushing and information displaying method and system - Google Patents
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- CN109831472B CN109831472B CN201711185221.0A CN201711185221A CN109831472B CN 109831472 B CN109831472 B CN 109831472B CN 201711185221 A CN201711185221 A CN 201711185221A CN 109831472 B CN109831472 B CN 109831472B
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Abstract
The invention provides an information pushing method, an information displaying method and an information pushing system, wherein the information pushing method comprises the following steps: after a first request sent by a client when a user clicks any article in a favorite is received, the first request comprises a resource address of the article, and an analysis result corresponding to the article is obtained based on the resource address and a corresponding relation between the resource address and the analysis result stored in a pre-established analysis result data set; determining a user intention of the user based on the analysis result; acquiring information related to user intention; sending information related to the user intent to the client. The embodiment of the invention has better effectiveness and comprehensiveness of information pushing.
Description
Technical Field
The invention relates to the technical field of network information, in particular to an information pushing and displaying method and system.
Background
With the rapid advance of mobile communication technology and the development of various types of digital media, millions of information contents are produced every day, the quantity of mobile phones in China is already saturated, the total flow resources are close to the upper limit, the time for a user to read by using the media is limited, the contents are difficult to be completely consumed by the user, almost all digital media have a collection function, and then the user cannot complete reading in time when facing massive information contents, the user can select to collect to a folder to return to the folder for reading in time, so that the reading in the folder occupies most of the time for the user to obtain information.
In the prior art, information such as advertisements is pushed when a user directly browses and reads articles, and the opportunity of acquiring advertisement information is lost for users who are used to adding articles to favorites instead of reading at that time, so that the effectiveness and comprehensiveness of information pushing are low.
Disclosure of Invention
In view of the above, the present invention provides an information pushing method and an information displaying method and system, so as to improve effectiveness and comprehensiveness of information pushing.
In a first aspect, an embodiment of the present invention provides an information pushing method, where the method is applied to a server, and includes:
after a first request sent by a client side when the user clicks any article in a favorite is detected, wherein the first request comprises a user unique identifier and a resource address of the article, an analysis result data set corresponding to the user unique identifier is obtained according to the user unique identifier, and an analysis result corresponding to the article is obtained based on the resource address and the corresponding relation between the resource address and the analysis result stored in the analysis result data set;
determining a user intent of the user based on the analysis results;
obtaining information related to the user intent;
sending the information related to the user intention to the client.
In combination with the first aspect, the embodiments of the present invention provide a first possible implementation manner of the first aspect, wherein,
the analysis result data set is pre-established in the following way:
after a second request sent by a client after a user is detected to enter a favorite is received, the second request comprises the user unique identification and resource addresses corresponding to all articles in the favorite, and when no analysis result data set corresponding to the user unique identification is confirmed based on the user unique identification, the content of all the articles in the favorite is obtained according to the resource addresses;
analyzing the contents of all articles in the favorite respectively to obtain an analysis result;
and establishing an analysis result data set based on the unique user identifier, the analysis result, the resource address and the corresponding relation among the unique user identifier, the analysis result, the resource address and the resource address.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the analysis result data set is pre-established by:
after a third request sent by a client after a user is detected to collect a new article in the favorite is received, the third request comprises the unique user identifier and the resource address of the new article, and the content of the new article is obtained based on the resource address;
analyzing the content of the new article to obtain an analysis result;
and storing the analysis result and the corresponding relation between the analysis result and the resource address into an analysis result data set corresponding to the unique user identifier.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the obtaining information related to the user intention includes:
acquiring other articles related to the user intention in the favorites and/or outside the favorites;
the sending the information to the client includes:
ranking the other articles according to the relevance degree of the user intention, and generating an information flow list of the other articles based on a ranking result;
and sending the information flow list of the other related articles to the client.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the obtaining information related to the user intention includes:
obtaining advertisement data related to the user intention;
the sending the information to the client includes:
sending the advertisement data to a client;
and/or the presence of a gas in the gas,
inserting the advertisement data into the information flow lists of the other related articles;
and sending the information flow list with the inserted advertisement data to the client.
In a second aspect, an embodiment of the present invention further provides an information display method, where the method is applied to a client, and includes:
after detecting that a user clicks any article in a favorite, generating a first request based on a resource address of the article, and sending the first request to a server;
receiving information which is sent by the server and is related to user intention;
and displaying the information.
In combination with the second aspect, the embodiments of the present invention provide a first possible implementation manner of the second aspect, wherein,
the displaying the information further comprises:
receiving an information flow list of other related articles sent by the server;
and after the fact that the user returns to the favorite information flow page is detected, displaying the information flow lists of the other related articles at the position below the articles in the favorite information flow page, and/or displaying the information flow lists of the other related articles at the bottom position of the detail page of the articles.
In combination with the second aspect, the embodiments of the present invention provide a second possible implementation manner of the second aspect, wherein,
the displaying the information further comprises:
receiving advertisement data sent by the server;
displaying the advertisement data at the middle position and/or the bottom position of the detail page of the article;
and/or the presence of a gas in the gas,
displaying the advertisement data at a position below the article of the favorite information flow page after detecting that the user returns to the favorite information flow page;
and/or the presence of a gas in the gas,
receiving an information flow list of inserted advertisement data sent by a server;
and after the fact that the user returns to the favorite information flow page is detected, displaying the information flow list at the position below the article of the favorite information flow page and/or at the position of the bottom of the detail page of the article.
In a third aspect, an embodiment of the present invention further provides an advertisement push system, including: a server for pushing information by applying the method according to any one of the first aspect, and a client for displaying information by applying the method according to any one of the second aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, the program being executed to implement the steps of the method according to any one of the first aspect.
According to the method and the system for pushing and displaying the information, after a first request sent by a client is received, according to the resource address of an article clicked by a user and contained in the request, the analysis result of the article is obtained through the resource address, the user intention of the user is determined based on the analysis result, the information related to the user intention is obtained, and the information is sent to the client; and further, information which the user is interested in or wants to obtain is pushed to the user based on the analysis of the articles in the favorites, and compared with a method for fixedly pushing advertisements only when the user browses the webpage in real time in the prior art, the method has better effectiveness and comprehensiveness of information pushing.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic flow chart illustrating an information push method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method of displaying information according to another embodiment of the present invention;
fig. 3 shows a schematic structural diagram of an information push system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Considering that the user generally adds the interested articles to the favorites when reading the articles, and reads the articles when the time is up; in addition, in the advertisement push in the prior art, the push sequence and time are generally set in advance, and the push is carried out when the user browses articles in real time, and the push of related information is not carried out aiming at the collected content of the user; based on this, embodiments of the present invention provide an information pushing method, an information displaying method, and an information pushing system, which are described below by way of embodiments.
Referring to the embodiment shown in fig. 1, an embodiment of the present invention provides an information pushing method, where the method includes the following steps:
s101, after a first request sent by a client when a user clicks any article in a favorite is detected is received, the first request comprises a user unique identifier and a resource address of the article, an analysis result data set corresponding to the user unique identifier is obtained according to the user unique identifier, and an analysis result corresponding to the article is obtained based on the resource address and the corresponding relation between the resource address and the analysis result stored in the analysis result data set;
in this embodiment, when the client detects that the user clicks any article in the favorite, the client sends a first request to the server, where the first request includes the unique user identifier and a resource address of the article clicked by the user, and after receiving the request, the server may call a pre-stored analysis result data set, where a resource address and an analysis result corresponding to the resource address are stored in the analysis result data set, and the analysis result data set may be stored in a database, and the server matches the resource address with a data resource address in the analysis result data set to determine an analysis result corresponding to the resource address.
The analysis result data set may be established by the following method, including steps a1 to c 1:
a1, after receiving a second request sent by a client after detecting that a user enters a favorite, the second request comprising a user unique identifier and resource addresses corresponding to all articles in the favorite, and acquiring the contents of all articles in the favorite based on the resource addresses when confirming that no analysis result data set corresponding to the user unique identifier exists based on the user unique identifier;
b1, analyzing the contents of all articles in the favorite respectively to obtain an analysis result;
and c1, establishing an analysis result data set based on the unique user identification, the analysis result, the resource address and the corresponding relation among the three.
After a second request sent by the client after the user is detected to enter the favorite is received, acquiring an analysis result data set corresponding to the user unique identifier according to the user unique identifier contained in the second request, and updating the analysis result data set according to resource addresses corresponding to all articles in the second request; the updating process comprises the following steps: and comparing the resource addresses of all articles contained in the received second request with all resource addresses in the analysis result data set, and deleting the resource addresses not contained in the second request and the analysis result data corresponding to the resource addresses from the analysis result data set. After the user reads the articles in the favorite, the read articles may be deleted from the favorite, after the user enters the favorite, the articles deleted by the user last time are detected, and the resource address corresponding to the deleted articles and the analysis result data corresponding to the resource address are deleted from the analysis result data combination in the analysis result data set corresponding to the server, so that the memory is saved.
In the above manner, after detecting that the user enters the favorite, the client sends a second request to the server, where the second request includes the unique user identifier and the resource addresses of all articles in the favorite, and after receiving the second request, the server obtains all the articles in the folder according to the resource addresses of all the articles included in the second request, analyzes all the articles respectively to obtain analysis results, and stores the resource addresses of all the articles and the analysis results corresponding to each resource address into an analysis result data set; and when the user clicks any article after entering the favorite, the server can acquire the analysis result of the article according to the resource address of the article.
The data result set may also be pre-established by the following steps a2 to c 2:
a2, after receiving a third request sent by a client after detecting that a user collects a new article to the favorite, the third request including the unique user identifier and the resource address of the new article, and acquiring the content of the new article based on the resource address;
b2, analyzing the content of the new article to obtain an analysis result;
and c2, storing the analysis result and the corresponding relation between the analysis result and the resource address into an analysis result data set corresponding to the user unique identification.
In this embodiment, when a user collects a new article to a favorite, the client sends a third request to the server, and after receiving the third request, the server obtains the new article based on a resource address of the new article collected by the user and included in the third request, analyzes the article to obtain an analysis result, and stores the analysis result and the resource address of the article in a data analysis result set in a corresponding manner; in this embodiment, when the user collects the article for the first time, an analysis result data set is established, and when the user collects the article again, the article is analyzed to obtain an analysis result, and the analysis result is stored in the analysis result data set, so that the data result set can be updated according to the collection behavior of the user; and when the user enters the favorite and clicks the article in the folder to read, acquiring the analysis result of the article in the analysis result data set.
S102, determining the user intention of the user based on the analysis result;
the analyzing the article content may be performing semantic analysis on the content of the article, and identifying keywords contained in the content of the article; the analysis result may be keywords included in the article, and the keywords include: words and phrases with frequency exceeding a preset threshold value in the articles, and classification of the articles and the like; the user's intention is analyzed based on the keyword, and for example, when the keyword is "economy", "stock", "trend", "income", it may be determined that the user's intention is "stock purchase" or "stock analysis".
S103, acquiring information related to the user intention;
after the user intention is obtained, information related to the user intention is further obtained, where the information may include: article and/or advertising information related to the user's intent; the obtaining mode can be obtained through a network crawling mode.
S104, sending the information related to the user intention to the client.
If the related information is article information related to the user intention, the article related to the user intention can be acquired by the following method:
acquiring other articles related to the user intention in the favorites;
sequencing the obtained other articles related to the user intention in a descending order of the degree of correlation with the user intention, and generating an information flow list of the other related articles in the favorite based on a sequencing result;
and sending the obtained information flow list of other related articles in the favorite to the client.
The above correlation degree may be calculated by: respectively screening phrases which are matched with the keywords in each article except the article selected by the user in the favorite, and carrying out weighted summation on the keywords in each article to obtain a result value; and judging the relevance degree of other articles and the article selected by the user according to the size of the result value.
And/or acquiring other articles outside the favorite related to the user intention;
sequencing the other articles according to the sequence of the relevance degree of the articles with the intention of the user from large to small, and generating an information flow list of the other articles based on the sequencing result;
and sending the information flow list of the other articles to the client.
In this embodiment, other articles in the favorite and other articles outside the favorite may be acquired simultaneously, the other articles may be ranked in descending order of the degree of correlation with the user's intention, and an information flow list of the other articles may be generated based on the ranking result; and sending the obtained information flow list of other articles to the client.
If the information related to the user intention is advertisement data, the server acquires the advertisement data related to the user intention; sending the advertisement data to a client;
and/or the presence of a gas in the gas,
the server inserts the advertisement data into the information flow list of other related articles; and sending the information flow list with the inserted advertisement data to the client. And the client displays the information flow list.
The information pushing method provided by the embodiment of the invention analyzes the articles added into the favorite by the user to obtain the analysis result data set, when the user clicks any article in the favorite after entering the favorite is detected, the server obtains the analysis result corresponding to the resource address of the article, determines the user intention according to the analysis result, further obtains the information related to the user intention, and pushes the information to the client, so that the information can be pushed according to the article content in the user favorite, and the comprehensiveness, pertinence and effectiveness of information pushing are improved.
Referring to the embodiment shown in fig. 2, in the embodiment of the present invention, an information display method is provided, where the method is applied to a client, and the method includes the following steps:
s201, after detecting that a user clicks any article in a favorite, generating a first request based on a resource address of the article, and sending the first request to a server;
after receiving the first request, the server acquires an analysis result corresponding to the article according to the resource address in the first request, determines the user intention of the user based on the analysis result, acquires information related to the user intention, and sends the information to the client;
s202, the client receives information which is sent by the server and is related to the user intention;
s203, the client displays the information.
The information related to the user intention includes: article and/or advertisement data related to user intent;
when the information related to the user intention is an article related to the user intention, the server may send an information stream list of other related articles except the article clicked by the user to the client;
the client receives an information flow list of other related articles sent by the server;
and after the fact that the user returns to the favorite information flow page is detected, displaying information flow lists of other related articles at the position below the articles in the favorite information flow page, and/or displaying the information flow lists of the other related articles at the bottom position of the article detail page.
Illustratively, the server obtains other articles in the favorites that are relevant to the user's intent; sequencing the obtained other articles related to the user intention in a descending order of the degree of correlation with the user intention, and generating an information flow list of the other related articles in the favorite based on a sequencing result; sending the information flow list of other related articles in the favorite to the client; and the client receives the information flow list, and displays the information flow list of other related articles at the position below the articles in the favorite information flow page after detecting that the user returns to the favorite information flow page, wherein other related articles are not repeatedly displayed in the favorite information flow.
If the server acquires other articles outside the favorite related to the user intention; sequencing the other articles according to the sequence of the relevance degree of the articles with the intention of the user from large to small, and generating an information flow list of the other articles based on the sequencing result; sending the information flow list of the other articles to a client; and the client receives the information flow lists of the other articles and displays the information flow lists of the other articles at the bottom positions of the detail pages of the articles.
If the information related to the user intention is advertisement data, the server acquires the advertisement data related to the user intention; sending the advertisement data to a client; the client displays the advertisement data at the middle position and/or the bottom position of the detail page of the article; and/or after the fact that the user returns to the favorite information flow page is detected, displaying the advertisement data at a position below the article of the favorite information flow page.
If the server inserts the advertisement data into the information flow lists of the other related articles, the information flow lists with the inserted advertisement data are sent to the client; and the client displays the information flow list. Illustratively, after detecting that the user returns to a favorite information flow page, the client displays the information flow list at a position below the article of the favorite information flow page and/or at a position of a detail page bottom of the article.
The information display method provided by the embodiment of the invention is applied to the client, the client establishes communication connection with the server, and receives the information pushed by the server to display the information to the user in cooperation with the server, so that the comprehensiveness and the effectiveness of information pushing are further achieved.
Referring to the embodiment shown in fig. 3, an information push system provided in the embodiment of the present invention includes a server 302 that performs information push by using any one of the possible implementations in the foregoing embodiments, and a client 301 that performs information presentation by using any one of the possible implementations in the foregoing embodiments.
The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed to implement the steps of implementing any one of the information pushing and/or displaying methods described in the foregoing embodiments.
The computer program product for pushing and displaying information provided in the embodiment of the present invention includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, which is not described herein again.
The apparatus provided by the embodiment of the present invention may be specific hardware on the device, or software or firmware installed on the device, etc. The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided by the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the present invention in its spirit and scope. Are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (6)
1. An information pushing method, which is applied to a server, is characterized by comprising the following steps:
after a first request sent by a client when a user clicks any article in a favorite is detected is received, wherein the first request comprises a user unique identifier and a resource address of the article, an analysis result data set corresponding to the user unique identifier is obtained according to the user unique identifier, and an analysis result corresponding to the article is obtained based on the resource address and the corresponding relation between the resource address and the analysis result stored in the analysis result data set;
determining a user intent of the user based on the analysis results;
obtaining information related to the user intent;
sending the information related to the user intention to the client;
the analysis result data set is established by the following method:
after a second request sent by a client after a user is detected to enter a favorite is received, the second request comprises the user unique identification and resource addresses of all articles in the favorite, and when no analysis result data set corresponding to the user unique identification is confirmed based on the user unique identification, the content of all the articles in the favorite is obtained according to the resource addresses;
analyzing the contents of all articles in the favorite respectively to obtain an analysis result;
and establishing an analysis result data set based on the unique user identifier, the analysis result, the resource address and the corresponding relation among the unique user identifier, the analysis result, the resource address and the resource address.
2. The method of claim 1, wherein the analysis result dataset is pre-established by:
after a third request sent by a client after a user is detected to collect a new article in the favorite is received, the third request comprises the unique user identifier and the resource address of the new article, and the content of the new article is obtained based on the resource address;
analyzing the content of the new article to obtain an analysis result;
and storing the analysis result and the corresponding relation between the analysis result and the resource address into an analysis result data set corresponding to the unique user identifier.
3. The method of claim 1, wherein obtaining information related to the user intent comprises:
acquiring other articles related to the user intention in the favorites and/or outside the favorites;
the sending the information to the client includes:
ranking the other articles according to the relevance degree of the user intention, and generating an information flow list of the other articles based on a ranking result;
and sending the information flow list of the other related articles to the client.
4. The method of claim 1, wherein obtaining information related to the user intent comprises:
obtaining advertisement data related to the user intention;
the sending the information to the client includes:
sending the advertisement data to a client;
and/or the presence of a gas in the gas,
inserting the advertisement data into information flow lists of other related articles;
and sending the information flow list with the inserted advertisement data to the client.
5. An information push system, comprising: a server for pushing information by applying the method according to any one of claims 1 to 4.
6. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed to implement the steps of the method of any of claims 1-4.
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| CN101866341A (en) * | 2009-04-17 | 2010-10-20 | 华为技术有限公司 | Information push method, device and system |
| CN101694659A (en) * | 2009-10-20 | 2010-04-14 | 浙江大学 | Individual network news recommending method based on multitheme tracing |
| CN102831199A (en) * | 2012-08-07 | 2012-12-19 | 北京奇虎科技有限公司 | Method and device for establishing interest model |
| CN103067470A (en) * | 2012-12-21 | 2013-04-24 | 北京奇虎科技有限公司 | Method, server and system for pushing information to browser |
| CN103235818A (en) * | 2013-04-27 | 2013-08-07 | 北京百度网讯科技有限公司 | Information push method and device based on webpage emotion tendentiousness |
| CN104239298A (en) * | 2013-06-06 | 2014-12-24 | 腾讯科技（深圳）有限公司 | Text message recommendation method, server, browser and system |
| CN105095187A (en) * | 2015-08-07 | 2015-11-25 | 广州神马移动信息科技有限公司 | Search intention identification method and device |
| CN105701155A (en) * | 2015-12-30 | 2016-06-22 | 百度在线网络技术（北京）有限公司 | Information push method and the device |
| CN106055591A (en) * | 2016-05-23 | 2016-10-26 | 北京金山安全软件有限公司 | Weather pushing method and device |
| CN107302566A (en) * | 2017-05-27 | 2017-10-27 | 冯小平 | The method and apparatus of pushed information |
| CN107220386A (en) * | 2017-06-29 | 2017-09-29 | 北京百度网讯科技有限公司 | Information-pushing method and device |
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