CN111625721B - Content recommendation method and device - Google Patents
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- CN111625721B CN111625721B CN202010454032.4A CN202010454032A CN111625721B CN 111625721 B CN111625721 B CN 111625721B CN 202010454032 A CN202010454032 A CN 202010454032A CN 111625721 B CN111625721 B CN 111625721B
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Abstract
The server can receive a request for acquiring content sent by a first user terminal, the request carries user login information, a page address corresponding to a page where the content is located, the page can be returned to the first user terminal according to the page address, an operation log of the first user terminal is recorded, whether a user acquiring the page is a real user or not can be identified according to the user login information and/or the operation log, the browsing quantity of the real user corresponding to the content is counted, if the recommended content is sent to a second user terminal, the recommended content and the browsing quantity of the real user corresponding to the recommended content can be sent to the second user terminal according to the browsing quantity of the real user corresponding to each content. Through the content, the recommended content determined by the server based on the browsing quantity of the real user corresponding to the content is more accurate compared with the popular content in the prior art.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a content recommendation method and apparatus.
Background
At present, when a user views the content, the user can directly view the hot content recommended by the server, and the time required for searching the content is saved.
In the prior art, according to the browsing quantity of the content, the server can recommend hot content to the user. The higher the number of views, the hotter the content, and the higher the likelihood that the server recommends the content. When counting the browsing quantity of the content, the server generally counts the calling times of the back-end service interface of the stored content, and the browsing quantity can be increased once when the back-end service interface is called once.
Because the scenes of calling the content data interface are relatively many, such as real user browsing, crawler accessing, false account accessing and the like, some scenes only need to access the content, and the web page displaying the content data is not needed to be accessed, and the real user browsing needs to access the web page displaying the content, the browsing quantity of the content counted by the prior art is not the browsing quantity of the real user, so that the hot content recommended to the user by the server is inaccurate.
Disclosure of Invention
The embodiment of the specification provides a content recommendation method and device, so as to partially solve the problems existing in the prior art.
The embodiment of the specification adopts the following technical scheme:
the content recommendation method provided by the specification comprises the following steps:
receiving a request for acquiring content sent by a first user terminal, wherein the request carries user login information and a page address corresponding to a page where the content is located;
Returning a page where the content is located to the first user terminal according to the page address, and recording an operation log of the first user terminal;
identifying whether the user obtaining the page is a real user or not according to the user login information and/or the operation log, and counting the browsing quantity of the real user corresponding to the content according to the identification result;
if the recommended content is sent to the second user terminal, sending the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal according to the browsing quantity of the real user corresponding to each content, so that the second user terminal can display the recommended content.
Optionally, returning, to the first user terminal, a page where the content is located according to the page address, including:
identifying a user type corresponding to the first user terminal according to the user login information;
judging whether the first user terminal has access rights or not according to the user type corresponding to the first user terminal, wherein the access rights are rights of using the first user terminal to access the page;
if yes, returning the page to the first user terminal according to the page address;
Otherwise, determining a false page and returning the false page to the first user terminal;
if the user type corresponding to the first user terminal is a real user type or a legal non-real user type, the first user terminal has access rights; if the user type corresponding to the first user terminal is an illegal and unreal user type, the first user terminal does not have access rights.
Optionally, the user login information includes a user account identification, an internet protocol (Internet Protocol, IP) address, cookie information;
according to the user login information, identifying whether the user acquiring the page is a real user or not, which specifically comprises:
judging whether the user login information meets a first condition, wherein the first condition comprises that the user account identifier is consistent with a pre-stored user account identifier, and the pre-stored IP address list does not contain the IP address;
if yes, identifying whether the user acquiring the page is the real user or not according to the cookie information;
if the judgment result is negative, the user acquiring the page is identified as a non-real user.
Optionally, the cookie information includes a device identifier of the User terminal, user Agent (UA) information;
according to the cookie information, identifying whether the user acquiring the page is the real user or not, which specifically comprises:
judging whether the cookie information meets a second condition, wherein the second condition comprises that the equipment identifier is a pre-stored equipment identifier, and the UA information is consistent with the pre-stored UA information;
if yes, identifying the user obtaining the page as the real user;
otherwise, identifying the user acquiring the page as the non-real user.
Optionally, identifying whether the user who obtains the page is a real user according to the operation log specifically includes:
acquiring user behavior information of a non-real user;
analyzing the operation log and determining user behavior information corresponding to the first user terminal;
comparing whether the user behavior information corresponding to the first user terminal is consistent with the user behavior information of the non-real user;
if the page is consistent, identifying the user acquiring the page as the non-real user;
and if the user acquired the page is inconsistent, identifying the user acquired the page as the real user.
Optionally, according to the browsing number of the real users corresponding to each content, the recommended content and the browsing number of the real users corresponding to the recommended content are sent to the second user terminal, which specifically includes:
for each content, determining a heat characterization value of the content according to the browsing quantity of the real user corresponding to the content;
determining the sequencing result of each content according to the heat characterization value of each content;
and determining the recommended content according to the sequencing result of each content, and sending the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal.
Optionally, determining the sorting result of each content according to the heat characterization value of each content specifically includes:
acquiring an operation log of the second user terminal;
determining user preference information corresponding to the second user terminal according to the operation log of the second user terminal;
and determining the sequencing result of each content according to the heat characterization value of each content and the user preference information corresponding to the second user terminal.
The present specification provides a content recommendation apparatus, the apparatus comprising:
the receiving module is used for receiving a request for acquiring content sent by a first user terminal, wherein the request carries user login information and a page address corresponding to a page where the content is located;
The recording module is used for returning the page where the content is located to the first user terminal according to the page address and recording an operation log of the first user terminal;
the statistics module is used for identifying whether the user obtaining the page is a real user or not according to the user login information and/or the operation log, and counting the browsing quantity of the real user corresponding to the content according to the identification result;
and the sending module is used for sending the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal according to the browsing quantity of the real user corresponding to each content if the recommended content is sent to the second user terminal, so that the second user terminal can display the recommended content.
A computer-readable storage medium provided in the present specification stores a computer program that, when executed by a processor, implements the content recommendation method described above.
The electronic device provided by the specification comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the content recommendation method when executing the program.
The above-mentioned at least one technical scheme that this description embodiment adopted can reach following beneficial effect:
according to the method, a server can receive a request for acquiring content sent by a first user terminal, the request carries user login information, a page address corresponding to a page where the content is located, the server can return the page where the content is located to the first user terminal according to the page address, record an operation log of the first user terminal, identify whether a user acquiring the page is a real user according to the user login information and/or the operation log, count the browsing quantity of the real user corresponding to the content, and send recommended content to a second user terminal if the server determines that the recommended content is sent to the second user terminal, and send the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal according to the browsing quantity of the real user corresponding to each content so as to enable the second user terminal to display. Through the content, the server can identify the real user and the non-real user, obtain the browsing quantity of the real user corresponding to the content, and determine the recommended content based on the browsing quantity of the real user corresponding to the content, so that the recommended content is more accurate compared with the popular content in the prior art.
Drawings
The accompanying drawings, which are included to provide a further understanding of the specification, illustrate and explain the exemplary embodiments of the present specification and their description, are not intended to limit the specification unduly. In the drawings:
FIG. 1 is a flow chart of content acquisition in the prior art;
FIG. 2 is a flowchart of a content recommendation method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a content recommendation device according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of an electronic device corresponding to fig. 2 provided in an embodiment of the present disclosure.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present specification more apparent, the technical solutions of the present specification will be clearly and completely described below with reference to specific embodiments of the present specification and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present specification. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
In the prior art, when the server counts the browsing quantity of the content, the number of times of calling the back-end service interface for storing the content is generally counted, and the browsing quantity can be increased once when the back-end service interface is called once. Because there are many scenarios for invoking the content data interface, such as real user browsing, crawler accessing, false account accessing, etc., some scenarios only need to access content, and no access to web pages displaying content data is needed, while real user browsing needs to access web pages displaying content, as shown in fig. 1.
Fig. 1 is a schematic flow chart of content acquisition in the prior art. In fig. 1, when other scenes access content, a back-end service interface can be called to directly acquire the content, and the content does not need to be acquired through a page where the content is located. The real user needs to acquire the content through the page where the content is located, specifically, the server may call the back-end service interface to obtain the content, render the content through the Web service to obtain the page (i.e., the Web page) where the content is located, and send the page where the content is located to the user terminal of the real user, so that the user terminal displays the content to the real user. Of course, there are other non-real users who need to acquire the content through the page where the content is located, in addition to the real user who needs to acquire the content through the page where the content is located.
The prior art directly uses the calling times of the back-end service interface as the browsing quantity of the content, obviously, the browsing quantity in the prior art is not the browsing quantity of the real user, and the content is recommended to the user based on the browsing quantity of the content provided by the prior art, and is not popular content popular with the real user.
Therefore, the method and the device for calculating the browsing quantity of the real users have the advantages that the browsing quantity of the real users corresponding to the content is counted in the dimension of the page where the content is located, firstly, the influence of other scenes on the statistics of the browsing quantity in the prior art is eliminated, then, the server in the method and the device for calculating the browsing quantity of the real users corresponding to the content is identified by the real users and the non-real users, the browsing quantity of the real users corresponding to the content is obtained, and compared with the prior art, the browsing quantity is more real and reliable, and recommended content determined based on the browsing quantity of the real users corresponding to the content is more accurate compared with popular content in the prior art.
The following describes in detail the technical solutions provided by the embodiments of the present specification with reference to the accompanying drawings.
Fig. 2 is a flowchart of a content recommendation method according to an embodiment of the present disclosure, which specifically includes the following steps:
s200: and receiving a request for acquiring the content, which is sent by the first user terminal, wherein the request carries user login information and a page address corresponding to a page where the content is located.
In this specification, the first user terminal may include a user terminal of a real user or a user terminal of a non-real user. The user terminal of the real user may be a user terminal with a function of operating a web page, for example, an electronic device such as a mobile phone, a computer, and the like. The user terminal of the non-real user may be a third party server, a virtual device, etc.
The content may include information posted by the user including text, pictures, video, etc. multimedia information, e.g., in an order service platform, the content may include information for the user to rate the business, and in a social platform, the content may include views posted by the user in a topic discussion.
The user login information may include a user account identification, an IP address, cookie information, etc. The user account identifier is an identifier allocated to the user account by the server, for example, the user registers account information in a page where the content is located, the server allocates the user account identifier to the user, and the server can determine to acquire the user account information of the page where the content is located through the user account identifier. The cookie information is encrypted information generated by the server according to the user information sent by the receiving user terminal, wherein the user information comprises one or more of user account identification, IP address, user login environment, equipment identification of the user terminal, UA information, position of the user terminal and the like, the user terminal can monitor operation of the user, acquire information such as user account identification and the like input by the user, acquire information such as IP address, user login environment, equipment identification of the user terminal, UA information, position of the user terminal and the like, and send the user information to the server. Specifically, the server may encrypt the user information to obtain cookie information, and send the cookie information to the user terminal.
The page address may be represented using a uniform resource locator (Uniform Resource Locator, URL) address, each content having a unique URL containing information indicating where the content is located. In addition, the page address may also be represented using an IP address or domain name address.
In the present specification, a user may actively search for and select a content to be acquired through a first user terminal, and after the first user terminal monitors an operation of the user, a request for acquiring the content is generated. In addition, the server can push the content to the first user terminal, the first user terminal receives the content pushed by the server and displays the content, and when the content is monitored to be selected by the user, a request for acquiring the content is generated.
S202: and returning the page where the content is located to the first user terminal according to the page address, and recording an operation log of the first user terminal.
After receiving a request for acquiring content sent by a first user terminal, a server can identify whether the first user terminal has access rights according to user login information, determine a page returned to the first user terminal according to an identification result, and return the determined page to the first user terminal.
Specifically, according to the user login information, the server may determine whether the first user terminal has access rights. If the first user terminal has the access right, returning the page to the first user terminal according to the page address, if the first user terminal does not have the access right, determining a false page, and returning the false page to the first user terminal.
When judging whether the first user terminal has the access right, the user type corresponding to the first user terminal, namely, the type of the user using the first user terminal can be identified according to the user login information. The user types may include a real user type, an unreal user type, wherein the unreal user types may include a legal unreal user type, an illegal unreal user type. And the user types with access rights comprise a real user type and a legal non-real user type, and the user types without access rights comprise an illegal non-real user type.
The server may identify the user type corresponding to the first user terminal according to the user login information in various manners, for example, the server may acquire the frequency of acquiring the content by the first user terminal, and when the frequency is too high (i.e., the frequency is greater than a preset frequency threshold), may identify that the user type corresponding to the first user terminal is a non-real user type. For another example, the server may obtain location information of the first user terminal, and according to a pre-stored location list of the non-real user terminal, if the location information of the first user terminal exists in the location list, identify that the user type corresponding to the first user terminal is the non-real user type. For another example, the server may obtain the crawler identifier carried by the request for obtaining the content sent by the first user terminal, if the crawler identifier is not obtained, it is stated that the user type corresponding to the first user terminal may be a true user type, and of course, an unreal user type, especially an illegal unreal user type, if the crawler identifier is obtained, whether the obtained crawler identifier is consistent with the prestored identification information of the legal unreal user type may be compared, if the comparison result is consistent, the user type corresponding to the first user terminal is identified as the legal unreal user type, and if the comparison result is inconsistent, the user type corresponding to the first user terminal is identified as the illegal unreal user type.
Of course, the server may identify the user type corresponding to the first user terminal in other manners, which are just a few manners. The description will not be repeated here in detail regarding the process of identifying the user type corresponding to the first user terminal through other manners.
After the user type corresponding to the first user terminal is identified as the illegal and unreal user type, the server can acquire a pre-generated false page or can randomly generate a false page, and of course, can also acquire a designated page, wherein the designated page is taken as the false page, and the designated page is not the page where the content is located.
Therefore, the server can obtain a rough identification result, the server divides the user types corresponding to the first user terminal into three types, and the mode can not completely distinguish the real user types from the legal and non-real user types, but the mode can identify the users of the illegal and non-real user types and return the false pages to the users of the illegal and non-real user types, so that the problem of high browsing quantity in the prior art is reduced to a certain extent.
After the server returns the page where the content is located to the first user terminal used by the user of the real user type or the legal non-real user type, the server may record an operation log of the first user terminal.
Specifically, the operation log is a log of behavior generated by the server according to the operation of the user when the user operates the page where the content is located. The user's operation on the page where the content is located may include browsing, modifying, downloading, etc., and the server may generate actions according to the user's operation, including jumping pages, adding or deleting data, etc.
The server can record and store an operation log of the first user terminal, analyze user behavior information corresponding to the first user terminal according to the operation log, and determine user preference information corresponding to the first user terminal according to an analysis result. In addition, the server may aggregate the operation logs of different user terminals.
S204: and identifying whether the user obtaining the page is a real user or not according to the user login information and/or the operation log, and counting the browsing quantity of the real user corresponding to the content according to the identification result.
After the server returns the page where the content is located to the first user terminal and records the operation log of the first user terminal, the server can identify the user type corresponding to the first user terminal again according to the user login information and/or the operation log, that is, identify whether the user obtaining the page is a real user.
Specifically, the service may identify whether the user who obtains the page is a real user according to the user login information. The server can judge whether the user login information meets the first condition, if the user login information meets the first condition, the user acquiring the page is identified as a real user according to the cookie information, and if the user login information does not meet the first condition, the user acquiring the page is identified as a non-real user. The first condition includes that the user account identification is consistent with the pre-stored user account identification, and the pre-stored IP address list does not contain the IP address.
Because the user account identifier is generated by the server, the server can compare the user account identifier in the user login information with the user account identifier stored by the server, and if the comparison result is consistent, it is indicated that the user account identifier in the user login information is legal, and the user type corresponding to the first user terminal may be a real user type. Then, the server may obtain a pre-stored IP address list, where the IP address list is a predetermined IP address list of a user terminal of the non-real user, so that it may be determined whether an IP address in the user login information exists in the IP address list, if it is determined that the IP address in the user login information exists in the IP address list, it may be determined that the user type corresponding to the first user terminal is the non-real user type, and if it is determined that the IP address in the user login information does not exist in the IP address list, it is indicated that the user type corresponding to the first user terminal may be the real user type. That is, if the user account identifier in the user login information is consistent with the pre-stored user account identifier, and the pre-stored IP address list does not have the IP address in the user login information, it is indicated that the user type corresponding to the first user terminal may be a true user type, and at this time, the auxiliary judgment can be performed through other information such as cookie information.
And the server can judge whether the cookie information meets the second condition or not when the user for acquiring the page is a real user according to the cookie information identification, if the cookie information meets the second condition, the user for acquiring the page is identified as the real user, and if the cookie information does not meet the second condition, the user for acquiring the page is identified as the non-real user. The cookie information may include information such as a device identifier of the user terminal, UA information, etc., the second condition may include that the device identifier is a pre-stored device identifier, and the UA information is consistent with the pre-stored UA information.
The device identification of the user terminal may include information such as Serial Number (S/N), mac address (Media Access Control Address), etc. The server may identify whether the device identifier in the cookie information is a device identifier that has been used historically (i.e., a pre-stored device identifier) for the user account identifier corresponding to the first user terminal, and if the identification result is yes, it indicates that the user obtaining the page may be a real user, that is, the user type corresponding to the first user terminal may be a real user type. In addition, the UA information includes information that the server can identify an operating system and version, a processor type, a browser and version, a browser rendering engine, a browser language, a browser plug-in, and the like used by the first user terminal. The server can pre-store UA information commonly used by the real user, compare UA information in the cookie information with pre-stored UA information, and if the comparison result is consistent, the user obtaining the page is possibly the real user. Of course, the server may also assist in identifying whether the user who acquires the page is a real user according to other information, for example, by acquiring a path of the first user terminal for acquiring the page, and identifying whether the user who acquires the page is a real user by determining whether the path is legal or not.
The service may also identify whether the user acquiring the page is a real user based on the operation log. Firstly, the server can acquire user behavior information of a non-real user, then, the operation log can be analyzed to determine the user behavior information corresponding to the first user terminal, finally, whether the user behavior information corresponding to the first user terminal is consistent with the user behavior information of the non-real user is compared, if so, the user acquiring the page is identified as the non-real user, and if not, the user acquiring the page is identified as the real user.
Specifically, the server may obtain an operation log of the user terminal of the non-real user, analyze the operation log of the user terminal of the non-real user, and determine user behavior information of the non-real user according to the analysis result. The user behavior information of the non-real user is not exactly the same as the user behavior information of the real user, for example, in general, the non-real user downloads all data of the page where the content is located, and the real user can generally perform operations of adding information, modifying information and the like on the page where the content is located. According to the operation log of the first user terminal recorded by the server, the operation log of the first user terminal can be analyzed, and according to the analysis result, the user behavior information corresponding to the first user terminal is obtained. Comparing whether the user behavior information corresponding to the first user terminal is consistent with the user behavior information of the non-real user, when the comparison result is consistent, identifying the user type corresponding to the first user terminal as the non-real user type, and when the comparison result is inconsistent, identifying the user type corresponding to the first user terminal as the real user type. Or determining the similarity between the user behavior information corresponding to the first user terminal and the user behavior information of the non-real user, if the similarity is greater than a preset similarity threshold, identifying the user obtaining the page as the non-real user, and if the similarity is not greater than the similarity threshold, identifying the user obtaining the page as the real user.
The server identifies whether the user acquiring the page is a real user according to the user login information and/or the operation log, based on a rough identification result of identifying the user type corresponding to the first user terminal, namely, the server continuously determines the user of the real user type according to the user login information and/or the operation log among the users of the real user type and the legal non-real user type, and when the user acquiring the page is identified as the real user, the server can identify according to the operation log besides the user login information, so that the obtained identification result is more accurate.
After the identification result is obtained, the server can count the browsing quantity of the real user corresponding to the content according to the identification result. That is, the server may count the number of views that the real user obtains the content. Compared with the prior art, the browsing quantity of the content acquired by the real user and obtained by the server in the specification is more accurate and is closer to the actual browsing quantity corresponding to the content.
The specification can also identify whether the user acquiring the page is a real user through a system, and the real user comprises a first identification system, a log system, a second identification system, an auxiliary system and the like. In particular, one server may support one system, and the content recommendation method provided in the present specification may be performed by a plurality of servers that cooperate with each other, and in addition, one server may support a plurality of systems, and the content recommendation method provided in the present specification may be performed by one server.
Therefore, the server inputs the user login information into a first identification system to obtain the user type corresponding to the first user terminal determined by the first identification system. The first identification system acquires the user login information and identifies the user type corresponding to the first user terminal according to the user login information; judging whether the first user terminal has access rights or not according to the user type corresponding to the first user terminal, wherein the access rights are rights of using the first user terminal to access the page; if yes, returning the page to the first user terminal according to the page address; otherwise, determining a false page and returning the false page to the first user terminal; if the user type corresponding to the first user terminal is a real user type or a legal non-real user type, the first user terminal has access rights; if the user type corresponding to the first user terminal is an illegal and unreal user type, the first user terminal does not have access rights.
And the log system records the operation log of the first user terminal.
And the server inputs the user login information and/or the operation log into a second identification system, and the user acquiring the page is identified whether to be a real user or not through the second identification system. The second identification system acquires the user login information and judges whether the user login information meets a first condition, wherein the first condition comprises that the user account identification is consistent with a pre-stored user account identification, and the pre-stored IP address list does not contain the IP address; if the judgment result is yes, the cookie information is sent to an auxiliary identification system, and whether the user acquiring the page is the real user is identified by the auxiliary identification system; if the judgment result is negative, the user acquiring the page is identified as a non-real user.
The second recognition system acquires user behavior information of the non-real user; analyzing the operation log and determining user behavior information corresponding to the first user terminal; comparing whether the user behavior information corresponding to the first user terminal is consistent with the user behavior information of the non-real user; if the page is consistent, identifying the user acquiring the page as the non-real user; and if the user acquired the page is inconsistent, identifying the user acquired the page as the real user.
The auxiliary identification system receives the cookie information sent by the second identification system and judges whether the cookie information meets a second condition, wherein the second condition comprises that the equipment identifier is a pre-stored equipment identifier, and the UA information is consistent with the pre-stored UA information; if yes, identifying the user obtaining the page as the real user; otherwise, identifying the user acquiring the page as the non-real user.
Wherein the first recognition system may include an anticreeper system. The first identification system can roughly identify the user type corresponding to the first user terminal according to the user login information, and cannot completely area the real user type and the legal non-real user type. Therefore, the second recognition system and the auxiliary recognition system further obtain more accurate recognition results according to the user login information and/or the operation log on the basis of the coarser recognition results obtained by the first recognition system. In addition, the log system can aggregate the operation logs of different user terminals.
S206: if the recommended content is sent to the second user terminal, sending the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal according to the browsing quantity of the real user corresponding to each content, so that the second user terminal can display the recommended content.
In this specification, the server may actively send the recommended content to the second user terminal, and at this time, the second user terminal may include a user terminal of a real user type. Or, the server may receive the request for obtaining the recommended content sent by the second user terminal, and send the recommended content to the second user terminal according to the received request for obtaining the recommended content, where the second user terminal may include a user terminal of a real user type and a user terminal of a legal non-real user type. When the user type corresponding to the first user terminal is the real user type, the second user terminal may be the first user terminal.
When the server sends the recommended content to the second user terminal, first, for each content, the popularity characterization value of the content can be determined according to the browsing number of the real user corresponding to the content.
Specifically, the browsing number of the real users corresponding to the content and the browsing number of the content form a positive correlation, that is, the larger the browsing number of the real users corresponding to the content is, the larger the browsing number of the content is, the higher the content is, the possibility of recommending the content to the second user terminal as recommended content is indicated, otherwise, the smaller the browsing number of the real users corresponding to the content is, the smaller the content is, the lower the content is, and the possibility of recommending the content to the second user terminal as recommended content is indicated.
There are various ways to determine the popularity representation value of the content according to the browsing number of the real user corresponding to the content, for example, the browsing number of the real user corresponding to the content is directly used as the popularity representation value of the content, and for example, the server may set a popularity coefficient to determine the product of the browsing number of the real user corresponding to the content and the popularity coefficient as the popularity representation value of the content. In the present specification, the popularity characterization value of the content can be obtained as long as the browsing number of the real user corresponding to the content is determined and the positive correlation between the browsing number of the real user corresponding to the content and the popularity characterization value of the content is satisfied.
Then, based on the heat characterization value of each content, the server may determine a ranking result of each content.
Specifically, the server may obtain the operation log of the second user terminal, and may determine the operation log of the second user terminal according to the log system. The operation log may be a historical operation log of the second user terminal, or may be a real-time recorded operation log of the second user terminal. Through the operation log of the second user terminal, the server can analyze the user behavior information corresponding to the second user terminal, and determine the user preference information corresponding to the second user terminal according to the analysis result. According to the heat characteristic value of each content and the user preference information corresponding to the second user terminal, the server can determine the sequencing result of each content. For example, the server may perform a first ranking on each content according to the heat characterizing value of each content, perform a second ranking on each content according to the user preference information corresponding to the second user terminal based on the first ranking result, to obtain a ranking result of each content, and for example, the server may determine a correlation degree between each content and the user preference information corresponding to the second user terminal, determine ranking scores of each content according to the heat characterizing value of each content and the correlation degree between each content and the user preference information corresponding to the second user terminal, and determine the ranking result of each content according to the ranking scores of each content.
And finally, according to the sequencing result of each content, the server can determine the recommended content and send the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal.
Specifically, the server may use a plurality of top-ranked contents in the ranking result as recommended contents, or may randomly select recommended contents according to the ranking result. There are many ways to determine recommended content according to the ranking result of each content, and this description is not repeated here.
When the server sends the recommended content to the second user terminal, the server can also send information such as the browsing number of the real user corresponding to the recommended content, the heat characterization value corresponding to the recommended content and the like, and of course, the server can also determine the user preference label corresponding to the recommended content according to the user preference information corresponding to the second user terminal and the preset user preference label, and send the user preference label corresponding to the recommended content to the second user terminal. After receiving the recommended content sent by the server and the information such as the browsing number of the real user corresponding to the recommended content, the heat characterization value corresponding to the recommended content, the user preference label corresponding to the recommended content and the like, the second user terminal can display the received information so that the user using the second user terminal can acquire the recommended content.
According to the ordering result of the contents, the popularity of the contents is considered, and the behavior preference of the user using the second user terminal is considered, so that the recommended contents determined by the server are the contents meeting the user preference, and meanwhile, the user obtains the popular contents better.
Based on the content recommendation method shown in fig. 2, the embodiment of the present disclosure further correspondingly provides a schematic structure diagram of a content recommendation device, as shown in fig. 3.
Fig. 3 is a schematic structural diagram of a content recommendation device according to an embodiment of the present disclosure, where the device includes:
a receiving module 301, configured to receive a request for obtaining content sent by a first user terminal, where the request carries user login information and a page address corresponding to a page where the content is located;
a recording module 302, configured to return, to the first user terminal, a page where the content is located according to the page address, and record an operation log of the first user terminal;
the statistics module 303 is configured to identify whether the user who obtains the page is a real user according to the user login information and/or the operation log, and count the browsing number of the real user corresponding to the content according to the identification result;
And the sending module 304 is configured to send, if it is determined to send the recommended content to the second user terminal, the recommended content and the browsing number of the real user corresponding to the recommended content to the second user terminal according to the browsing number of the real user corresponding to each content, so that the second user terminal displays the recommended content.
Through the content, the server can identify the real user and the non-real user, obtain the browsing quantity of the real user corresponding to the content, and determine the recommended content based on the browsing quantity of the real user corresponding to the content, so that the recommended content is more accurate compared with the popular content in the prior art.
Optionally, the recording module 302 is specifically configured to identify, according to the user login information, a user type corresponding to the first user terminal; judging whether the first user terminal has access rights or not according to the user type corresponding to the first user terminal, wherein the access rights are rights of using the first user terminal to access the page; if yes, returning the page to the first user terminal according to the page address; otherwise, determining a false page and returning the false page to the first user terminal; if the user type corresponding to the first user terminal is a real user type or a legal non-real user type, the first user terminal has access rights; if the user type corresponding to the first user terminal is an illegal and unreal user type, the first user terminal does not have access rights.
Through the method, a rough identification result can be obtained, the server divides the user types corresponding to the first user terminal into three types, and the method cannot completely distinguish the real user types from the legal non-real user types, but the method can identify the users of the illegal non-real user types and return false pages to the users of the illegal non-real user types, so that the problem of high browsing quantity in the prior art is reduced to a certain extent.
Optionally, the user login information includes a user account identifier, an internet protocol IP address, and cookie information;
the statistics module 303 is specifically configured to determine whether the user login information meets a first condition, where the first condition includes that the user account identifier is consistent with a pre-stored user account identifier, and the IP address does not exist in a pre-stored IP address list; if yes, identifying whether the user acquiring the page is the real user or not according to the cookie information; if the judgment result is negative, the user acquiring the page is identified as a non-real user.
Optionally, the cookie information comprises a device identifier of the user terminal and user agent UA information;
The statistics module 303 is specifically configured to determine whether the cookie information meets a second condition, where the second condition includes that the device identifier is a pre-stored device identifier, and the UA information is consistent with the pre-stored UA information; if yes, identifying the user obtaining the page as the real user; otherwise, identifying the user acquiring the page as the non-real user.
Optionally, the statistics module 303 is specifically configured to obtain user behavior information of the non-real user; analyzing the operation log and determining user behavior information corresponding to the first user terminal; comparing whether the user behavior information corresponding to the first user terminal is consistent with the user behavior information of the non-real user; if the page is consistent, identifying the user acquiring the page as the non-real user; and if the user acquired the page is inconsistent, identifying the user acquired the page as the real user.
Optionally, the sending module 304 is specifically configured to determine, for each content, a heat characterizing value of the content according to a browsing number of a real user corresponding to the content; determining the sequencing result of each content according to the heat characterization value of each content; and determining the recommended content according to the sequencing result of each content, and sending the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal.
Optionally, the sending module 304 is specifically configured to obtain an operation log of the second user terminal; determining user preference information corresponding to the second user terminal according to the operation log of the second user terminal; and determining the sequencing result of each content according to the heat characterization value of each content and the user preference information corresponding to the second user terminal.
According to the ordering result of the contents, the popularity of the contents is considered, and the behavior preference of the user using the second user terminal is considered, so that the recommended contents determined by the server are the contents meeting the user preference, and meanwhile, the user obtains the popular contents better.
The present embodiment also provides a computer-readable storage medium storing a computer program operable to execute the content recommendation method provided in fig. 2 described above.
Based on the content recommendation method shown in fig. 2, the embodiment of the present specification also proposes a schematic structural diagram of the electronic device shown in fig. 4. At the hardware level, as in fig. 4, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile storage, although it may include hardware required for other services. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs the same to implement the content recommendation method described above with respect to fig. 2.
Of course, other implementations, such as logic devices or combinations of hardware and software, are not excluded from the present description, that is, the execution subject of the following processing flows is not limited to each logic unit, but may be hardware or logic devices.
In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present specification.
It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing is merely exemplary of the present disclosure and is not intended to limit the disclosure. Various modifications and alterations to this specification will become apparent to those skilled in the art. Any modifications, equivalent substitutions, improvements, or the like, which are within the spirit and principles of the present description, are intended to be included within the scope of the claims of the present description.
Claims (8)
1. A content recommendation method, the method comprising:
receiving a request for acquiring content sent by a first user terminal, wherein the request carries user login information and a page address corresponding to a page where the content is located;
returning a page where the content is located to the first user terminal according to the page address, and recording an operation log of the first user terminal;
Identifying whether the user obtaining the page is a real user or not according to the user login information and/or the operation log, and counting the browsing quantity of the real user corresponding to the content according to the identification result;
if the recommended content is determined to be sent to the second user terminal, sending the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal according to the browsing quantity of the real user corresponding to each content, so that the second user terminal displays the recommended content;
the user login information comprises a user account identifier, an Internet Protocol (IP) address and cookie information;
according to the user login information, identifying whether the user acquiring the page is a real user or not, which specifically comprises:
judging whether the user login information meets a first condition, wherein the first condition comprises that the user account identifier is consistent with a pre-stored user account identifier, and the pre-stored IP address list does not contain the IP address;
if yes, identifying whether the user acquiring the page is the real user or not according to the cookie information;
if the judgment result is negative, identifying the user obtaining the page as a non-real user;
According to the operation log, identifying whether the user acquiring the page is a real user or not specifically includes:
acquiring user behavior information of a non-real user;
analyzing the operation log and determining user behavior information corresponding to the first user terminal;
comparing whether the user behavior information corresponding to the first user terminal is consistent with the user behavior information of the non-real user;
if the page is consistent, identifying the user acquiring the page as the non-real user;
and if the user acquired the page is inconsistent, identifying the user acquired the page as the real user.
2. The method of claim 1, wherein returning the page on which the content is located to the first user terminal according to the page address specifically comprises:
identifying a user type corresponding to the first user terminal according to the user login information;
judging whether the first user terminal has access rights or not according to the user type corresponding to the first user terminal, wherein the access rights are rights of using the first user terminal to access the page;
if yes, returning the page to the first user terminal according to the page address;
Otherwise, determining a false page and returning the false page to the first user terminal;
if the user type corresponding to the first user terminal is a real user type or a legal non-real user type, the first user terminal has access rights; if the user type corresponding to the first user terminal is an illegal and unreal user type, the first user terminal does not have access rights.
3. The method of claim 1, wherein the cookie information comprises a device identification of the user terminal, user agent UA information;
according to the cookie information, identifying whether the user acquiring the page is the real user or not, which specifically comprises:
judging whether the cookie information meets a second condition, wherein the second condition comprises that the equipment identifier is a pre-stored equipment identifier, and the UA information is consistent with the pre-stored UA information;
if yes, identifying the user obtaining the page as the real user;
otherwise, identifying the user acquiring the page as the non-real user.
4. The method of claim 1, wherein sending the recommended content and the number of views of the real user corresponding to the recommended content to the second user terminal according to the number of views of the real user corresponding to each content, specifically comprises:
For each content, determining a heat characterization value of the content according to the browsing quantity of the real user corresponding to the content;
determining the sequencing result of each content according to the heat characterization value of each content;
and determining the recommended content according to the sequencing result of each content, and sending the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal.
5. The method of claim 4, wherein determining the ranking result of each content based on the heat characterization value of each content, comprises:
acquiring an operation log of the second user terminal;
determining user preference information corresponding to the second user terminal according to the operation log of the second user terminal;
and determining the sequencing result of each content according to the heat characterization value of each content and the user preference information corresponding to the second user terminal.
6. A content recommendation device, the device comprising:
the receiving module is used for receiving a request for acquiring content sent by a first user terminal, wherein the request carries user login information and a page address corresponding to a page where the content is located;
the recording module is used for returning the page where the content is located to the first user terminal according to the page address and recording an operation log of the first user terminal;
The statistics module is used for identifying whether the user obtaining the page is a real user or not according to the user login information and/or the operation log, and counting the browsing quantity of the real user corresponding to the content according to the identification result;
the sending module is used for sending the recommended content and the browsing quantity of the real user corresponding to the recommended content to the second user terminal according to the browsing quantity of the real user corresponding to each content if the recommended content is determined to be sent to the second user terminal, so that the second user terminal can display the recommended content;
the user login information comprises a user account identifier, an Internet Protocol (IP) address and cookie information;
according to the user login information, identifying whether the user acquiring the page is a real user or not, which specifically comprises:
judging whether the user login information meets a first condition, wherein the first condition comprises that the user account identifier is consistent with a pre-stored user account identifier, and the pre-stored IP address list does not contain the IP address;
if yes, identifying whether the user acquiring the page is the real user or not according to the cookie information;
If the judgment result is negative, identifying the user obtaining the page as a non-real user;
according to the operation log, identifying whether the user acquiring the page is a real user or not specifically includes:
acquiring user behavior information of a non-real user;
analyzing the operation log and determining user behavior information corresponding to the first user terminal;
comparing whether the user behavior information corresponding to the first user terminal is consistent with the user behavior information of the non-real user;
if the page is consistent, identifying the user acquiring the page as the non-real user;
and if the user acquired the page is inconsistent, identifying the user acquired the page as the real user.
7. A computer readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method of any of the preceding claims 1-5.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of the preceding claims 1-5 when executing the program.
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