CN111625721A - Content recommendation method and device - Google Patents
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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 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 can be identified according to the user login information and/or the operation log, the browsing number of the real user corresponding to the content is counted, and if the recommended content is sent to a second user terminal, the recommended content and the browsing number of the real user corresponding to the recommended content can be sent to the second user terminal according to the browsing number of the real user corresponding to each content. Through the content, the server determines the recommended content based on the browsing number of the real user corresponding to the content, and 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 content, the user can directly view hot content recommended by a server, and time required for searching the content is saved.
In the prior art, according to the browsing number of contents, a server can recommend hot contents to a user. The higher the number of views, the more popular the content, and the higher the likelihood that the server will recommend the content. When the server counts the browsing number of the content, the server generally counts the calling times of the back-end service interface of the stored content, and the browsing number can be increased once every time the back-end service interface is called.
Since there are many scenarios for invoking the content data interface, for example, real user browsing, crawler access, false account access, etc., some scenarios only need to access the content without accessing the web page showing the content data, and the real user browses the web page needing to access the shown content, the browsing number of the content counted by the prior art is not the browsing number of the real user, which results in inaccurate hot content recommended by the server to the user.
Disclosure of Invention
The embodiment of the specification provides a content recommendation method and device to partially solve the problems in the prior art.
The embodiment of the specification adopts the following technical scheme:
the present specification provides a content recommendation method, including:
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 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;
identifying whether the user acquiring the page is a real user or not according to the user login information and/or the operation log, and counting the browsing number of the real user corresponding to the content according to an identification result;
and if the recommended content is determined to be sent to a second user terminal, sending 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 can display the recommended content.
Optionally, returning the page where the content is located to the first user terminal according to the page address, specifically including:
identifying a user type corresponding to the first user terminal according to the user login information;
judging whether the first user terminal has an access right according to the user type corresponding to the first user terminal, wherein the access right is the right for using the first user terminal to access the page;
if so, 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 an access right; and if the user type corresponding to the first user terminal is an illegal unreal user type, the first user terminal does not have access authority.
Optionally, the user login information includes a user account identifier, an Internet Protocol (IP) address, and cookie information;
identifying whether the user obtaining the page is a real user or not according to the user login information, and specifically comprising the following steps:
judging 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 have the IP address;
if so, identifying whether the user acquiring the page is the real user or not according to the cookie information;
and if the judgment result is negative, identifying the user acquiring the page as a non-real user.
Optionally, the cookie information includes a device identifier of the User terminal and User Agent (UA) information;
identifying whether the user acquiring the page is the real user or not according to the cookie information, specifically comprising:
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 so, identifying the user acquiring the page as the real user;
otherwise, identifying the user acquiring the page as the non-real user.
Optionally, identifying whether the user obtaining the page is a real user according to the operation log, specifically including:
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 unreal user;
if the page is consistent with the non-real user, identifying the user acquiring the page as the non-real user;
and if not, identifying the user acquiring the page as the real user.
Optionally, sending 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 specifically includes:
for each content, determining a heat representation value of the content according to the browsing number of a real user corresponding to the content;
determining the sequencing result of each content according to the heat representation 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 number of the real user corresponding to the recommended content to the second user terminal.
Optionally, determining a ranking result of each content according to the heat characterization value of each content, specifically including:
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 representation 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 including:
the content acquisition device comprises a receiving module, a sending module and a processing module, wherein the receiving module is used for receiving a request for acquiring content sent by a first user terminal, and 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 statistical module is used for identifying whether the user acquiring the page is a real user or not according to the user login information and/or the operation log, and counting the browsing number of the real user corresponding to the content according to an identification result;
and the sending module is used for sending the recommended content and the browsing number of the real users corresponding to the recommended content to the second user terminal according to the browsing number of the real users 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 present specification provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the above-described content recommendation method.
The present specification provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the content recommendation method.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:
the server in the description can receive a request for acquiring content sent by a first user terminal, wherein the request carries user login information, a page address corresponding to a page where the content is located, according to the page address, the server can return the page where the content is located to the first user terminal and record an operation log of the first user terminal, according to the user login information and/or the operation log, the server can identify whether a user for acquiring the page is a real user or not and count the browsing number of the real user corresponding to the content, and if the server determines to send recommended content to a second user terminal, recommended content and the browsing number of the real user corresponding to the recommended content can be sent to the second user terminal according to the browsing number of the real user corresponding to each content, so that the second user terminal can display the recommended content. Through the content, the server can identify the real user and the non-real user, obtain the browsing number of the real user corresponding to the content, and determine the recommended content based on the browsing number of the real user corresponding to the content, so that the method is more accurate compared with popular content in the prior art.
Drawings
The accompanying drawings, which are included to provide a further understanding of the specification and are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description serve to explain the specification and not to limit the specification in a non-limiting sense. In the drawings:
FIG. 1 is a schematic diagram illustrating a process for obtaining content according to the prior art;
fig. 2 is a flowchart of a content recommendation method provided in an embodiment of the present specification;
fig. 3 is a schematic structural diagram of a content recommendation device provided in an embodiment of the present specification;
fig. 4 is a schematic diagram of an electronic device corresponding to fig. 2 provided in an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more clear, the technical solutions of the present disclosure will be clearly and completely described below with reference to the specific embodiments of the present disclosure and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort belong to the protection scope of the present specification.
In the prior art, when a server counts the browsing number of contents, the number of times of calling a back-end service interface for storing the contents is generally counted, and the browsing number can be increased once every time the back-end service interface is called. Since there are many scenarios for invoking the content data interface, for example, real user browsing, crawler access, false account access, etc., some scenarios only need to access the content without accessing the web page showing the content data, and the real user browses the web page needing to access the shown content, as shown in fig. 1.
Fig. 1 is a schematic flow chart of content acquisition in the prior art. In fig. 1, when accessing content in other scenes, a back-end service interface may be called to directly obtain the content without obtaining the content through a page where the content is located. The real user needs to obtain the content through the page where the content is located, specifically, the server may invoke a back-end service interface to obtain the content, render the content through the Web service to obtain the page where the content is located (that is, the Web page), 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, besides the real user needs to obtain the content through the page where the content is located, there are other non-real users that also need to obtain the content through the page where the content is located.
In the prior art, the number of times of calling a back-end service interface is directly used as the browsing number of contents, and obviously, the browsing number in the prior art is not the browsing number of a real user, and the contents are recommended to the user based on the browsing amount of the contents provided by the prior art and are not popular contents welcomed by the real user.
Therefore, the browsing number of the real user 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 browsing number counting in the prior art is eliminated in the description, then, the server identifies the real user and the non-real user in the description, the browsing number of the real user corresponding to the content is obtained, compared with the prior art, the browsing number is more real and credible, and the recommended content determined based on the browsing number of the real user corresponding to the content is more accurate compared with the popular content in the prior art.
The technical solutions provided by the embodiments of the present description are described in detail below with reference to the accompanying drawings.
Fig. 2 is a flowchart of a content recommendation method provided in an embodiment of the present specification, which may specifically include the following steps:
s200: 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.
In this specification, the first user terminal may include a user terminal of an actual user, or may be a user terminal of a non-actual user. The user terminal of the real user may be a user terminal having a function of operating a web page, for example, an electronic device such as a mobile phone and a computer. The user terminal of the non-real user can be a third party server, a virtual device and the like.
The content can comprise information published by the user, including multimedia information such as words, pictures, videos and the like, for example, in an order service platform, the content can comprise information of a user evaluation business, and for example, in a social platform, the content can comprise a view published by the user participating in a topic discussion.
The user login information may include user account identification, IP address, cookie information, and the like. The user account identifier is an identifier allocated by the server for the user account, for example, the user registers account information in a page where the content is located, the server allocates the user account identifier for 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 user information sent by the user terminal, wherein the user information comprises one or more of user account identification, an IP address, a user login environment, device identification of the user terminal, UA information, the position of the user terminal and the like, the user terminal can monitor the operation of the user, acquire the information such as the user account identification input by the user, acquire the information such as the IP address, the user login environment, the device identification of the user terminal, the UA information, the 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 by a Uniform Resource Locator (URL) address, each content has a unique URL, and the URL contains information indicating where the content is located. In addition, the page address may also be represented using an IP address or a domain name address.
In this specification, a user may actively search and select a content that needs to be acquired through a first user terminal, and the first user terminal generates a request for acquiring the content after monitoring an operation of the user. In addition, the server can push content to the first user terminal, the first user terminal receives and displays the content pushed by the server, and when the content selected by the user is monitored, a request for acquiring the content is generated.
S202: and returning the page of the content 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 firstly identify whether the first user terminal has access authority 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, the server may determine whether the first user terminal has an access right according to the user login information. And if the first user terminal has the access right, returning the page to the first user terminal according to the page address, and 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 real user types and non-real user types, wherein the non-real user types may include legal non-real user types and illegal non-real user types. And the user types with the access right comprise real user types and legal non-real user types, and the user types without the access right comprise illegal non-real user types.
For example, the server may obtain a frequency of obtaining the content by the first user terminal, and when the frequency is too high (that is, the frequency is greater than a preset frequency threshold), the user type corresponding to the first user terminal may be identified as 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, if the location list includes the location information of the first user terminal, the server may identify that the user type corresponding to the first user terminal is the non-real user type. For another example, the server may obtain a crawler identifier carried in a request for obtaining content sent by the first user terminal, and if the crawler identifier is not obtained, it is indicated that the user type corresponding to the first user terminal may be a real user type, and certainly, may also be a non-real user type, especially an illegal non-real user type.
Of course, the server may also identify the user type corresponding to the first user terminal through other manners, which are just some manners. The process of identifying the user type corresponding to the first user terminal in other manners is not described in detail in this specification.
After identifying that the user type corresponding to the first user terminal is an illegal non-real user type, the server may obtain a pre-generated false page, may also randomly generate a false page, and of course, may also obtain a designated page, and takes the designated page as a false page, where the said false page is not a page where the content is located.
Therefore, the server can obtain a relatively rough identification result, the server divides the user types corresponding to the first user terminal into three types, and the difference between the real user type and the legal non-real user type cannot be completely distinguished in the above mode.
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 the 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 and other behaviors, and the server's behavior generated according to the user's operation may include jumping to a page, adding or deleting data and other behaviors.
The server can record and store an operation log of a 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 can also aggregate operation logs of different user terminals.
S204: and identifying whether the user acquiring the page is a real user or not according to the user login information and/or the operation log, and counting the browsing number of the real user corresponding to the content according to an 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 obtained the page is a real user according to the user login information. The server can judge whether the user login information meets a first condition, if the user login information meets the first condition, whether the user obtaining the page is a real user is identified according to the cookie information, and if the user login information does not meet the first condition, the user obtaining the page is identified as a non-real user. The first condition comprises that the user account identification is consistent with the pre-stored user account identification, and the IP address does not exist in the pre-stored IP address list.
The user account identifier is generated by the server, so that 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, the user account identifier in the user login information is legal, and the user type corresponding to the first user terminal may be the 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 a non-real user, so that it may be determined whether an IP address in the user login information exists in the IP address list, and if it is determined that an 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 a non-real user type, and if it is determined that an IP address in the user login information does not exist in the IP address list, it indicates that the user type corresponding to the first user terminal may be a 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 indicates that the user type corresponding to the first user terminal may be the real user type, and at this time, the auxiliary judgment may be performed through other information such as cookie information.
And the server identifies whether the user acquiring the page is a real user according to the cookie information, and can judge whether the cookie information meets a second condition, if so, the user acquiring the page is identified as the real user, and if not, the user acquiring the page is identified as a non-real user. The cookie information may include information such as a device identifier of the user terminal, UA information, and the like, and 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 identifier of the user terminal may include Serial Number (S/N), Mac Address (media access Control Address), and other information. The server may identify whether the device identifier in the cookie information is a device identifier that has been used historically by the user account identifier corresponding to the first user terminal (i.e., a pre-stored device identifier), and if the identification result is yes, it indicates that the user obtaining the page may be a real user, i.e., the user type corresponding to the first user terminal may be a real user type. The UA information includes information such as an operating system and version, a processor type, a browser and version, a browser rendering engine, a browser language, and a browser plug-in that the server can recognize that the first user terminal uses. The server can store UA information commonly used by the real user in advance, compare the UA information in the cookie information with the pre-stored UA information, and if the comparison result is consistent, indicate that the user acquiring the page is possibly the real user. Of course, the server may also assist in identifying whether the user obtaining the page is a real user according to other information, for example, obtaining a path of the first user terminal obtaining the page, identifying whether the user obtaining the page is a real user by judging whether the path is legal, and the like.
The service can also identify whether the user who obtained the page is a real user according to the operation log. Firstly, the server can obtain the user behavior information of the unreal user, then, the operation log can be analyzed, the user behavior information corresponding to the first user terminal is determined, finally, whether the user behavior information corresponding to the first user terminal is consistent with the user behavior information of the unreal user or not is compared, if so, the user obtaining the page is identified as the unreal user, and if not, the user obtaining the page is identified as the real user.
Specifically, the server may obtain an operation log of the user terminal of the unreal user, analyze the operation log of the user terminal of the unreal user, and determine the user behavior information of the unreal user according to an analysis result. The user behavior information of the non-real user is not identical to the user behavior information of the real user, for example, in general, the non-real user downloads all data of a page where the content is located, and the real user can generally perform operations such as adding information and modifying information on the page where the content is located. And analyzing the operation log of the first user terminal according to the operation log of the first user terminal recorded by the server, and obtaining user behavior information corresponding to the first user terminal according to an analysis result. And comparing whether the user behavior information corresponding to the first user terminal is consistent with the user behavior information of the unreal user or not, identifying the user type corresponding to the first user terminal as the unreal user type when the comparison result is consistent, and identifying the user type corresponding to the first user terminal as the real user type when the comparison result is inconsistent. 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, identifying the user acquiring the page as the non-real user if the similarity is greater than a preset similarity threshold, and identifying the user acquiring the page as the real user if the similarity is not greater than the similarity threshold.
The server identifies whether the user obtaining the page is a real user or not according to the user login information and/or the operation log on the basis of a rough identification result of the user type corresponding to the first user terminal, namely, in the users of the real user type and the legal non-real user type, the user of the real user type is determined continuously according to the user login information and/or the operation log, when the user obtaining the page is identified as the real user or not, the identification can be carried out according to the operation log besides the user login information, and therefore the obtained identification result is more accurate.
After the recognition result is obtained, the server can count the browsing number of the real user corresponding to the content according to the recognition result. That is, the server may count the number of views of the content acquired by the real user. The browsing number of the content acquired by the real user, which is obtained by the server in the specification, is more accurate and closer to the actual browsing number corresponding to the content compared with the prior art.
The specification can also identify whether the user acquiring the page is a real user through a system, and the system comprises a first identification system, a log system, a second identification system, an auxiliary system and the like. Specifically, one server may support one system, and the content recommendation method provided by the present specification may be executed by a plurality of servers cooperating with each other, or one server may support a plurality of systems, and the content recommendation method provided by the present specification may be executed 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 an access right according to the user type corresponding to the first user terminal, wherein the access right is the right for using the first user terminal to access the page; if so, 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 an access right; and if the user type corresponding to the first user terminal is an illegal unreal user type, the first user terminal does not have access authority.
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 identifies whether the user acquiring the page is 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 have the IP address; if so, sending the cookie information to an auxiliary identification system, and identifying whether the user of the page is the real user or not through the auxiliary identification system; and if the judgment result is negative, identifying the user acquiring the page as a non-real user.
The second identification system acquires user behavior information of the unreal 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 unreal user; if the page is consistent with the non-real user, identifying the user acquiring the page as the non-real user; and if not, identifying the user acquiring 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 so, identifying the user acquiring the page as the real user; otherwise, identifying the user acquiring the page as the non-real user.
Wherein the first recognition system may comprise an anti-crawler system. The first identification system can roughly identify the user type corresponding to the first user terminal according to the user login information, and the real user type and the legal non-real user type cannot be completely identified. Therefore, by the second recognition system and the auxiliary recognition system, on the basis of the relatively rough recognition result obtained by the first recognition system, a more accurate recognition result is further obtained according to the user login information and/or the operation log. In addition, the log system can also aggregate operation logs of different user terminals.
S206: and if the recommended content is determined to be sent to a second user terminal, sending 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 can display the recommended content.
In this specification, the server may actively transmit the recommended content to the second user terminal, and in this case, the second user terminal may include a user terminal of a real user type. Or, the server may receive a request for obtaining 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 recommended content, where the second user terminal may include a user terminal of a real user type and a user terminal of a legitimate and unreal 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 may be determined according to the browsing number of the real user corresponding to the content.
Specifically, the browsing number of the real user corresponding to the content and the heat representing value of the content are in a positive correlation, that is, the larger the browsing number of the real user corresponding to the content is, the larger the heat representing value of the content is, which indicates that the heat of the content is higher, the higher the possibility that the content is recommended to the second user terminal as recommended content is, and conversely, the smaller the browsing number of the real user corresponding to the content is, the smaller the heat representing value of the content is, which indicates that the heat of the content is lower, and the lower the possibility that the content is recommended to the second user terminal as recommended content is.
For example, the browsing number of the real user corresponding to the content is directly used as the heat representing value of the content, and for example, the server may set a heat coefficient, and determine a product of the browsing number of the real user corresponding to the content and the heat coefficient as the heat representing value of the content. In this specification, the popularity characterization value of the content may be obtained as long as the browsing number of the real user corresponding to the content is determined and the browsing number of the real user corresponding to the content and the popularity characterization value of the content are in a positive correlation.
Then, according to the heat representing value of each content, the server can determine the sequencing result of each content.
Specifically, the server may obtain an 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 an operation log of the second user terminal in history, or an operation log of the second user terminal recorded in real time. 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. And the server can determine the sequencing result of each content according to the heat representation value of each content and the user preference information corresponding to the second user terminal. For example, the server may perform first ranking on each content according to the heat representing value of each content, perform second ranking on each content according to the user preference information corresponding to the second user terminal based on the first ranking result, and obtain the ranking result 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 number of the real user corresponding to the recommended content to the second user terminal.
Specifically, the server may use a plurality of contents ranked at the top in the ranking result as the recommended contents, or may randomly select the 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 may 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 may also determine the user preference tag corresponding to the recommended content according to the user preference information corresponding to the second user terminal and the preset user preference tag, and send the user preference tag corresponding to the recommended content to the second user terminal. After receiving the recommended content sent by the server, the browsing number of the real user corresponding to the recommended content, the heat representation value corresponding to the recommended content, the user preference label corresponding to the recommended content and other information, the second user terminal can display the received information so that the user using the second user terminal can obtain the recommended content.
The ranking result of each content obtained in the description not only considers the trending degree of each content, but also considers the behavior preference of the user using the second user terminal, so that the recommended content determined by the server is both the content according with the user preference and the trending content, and the user experience of obtaining the trending content is better.
Based on the content recommendation method shown in fig. 2, an embodiment of the present specification further provides a schematic structural diagram of a content recommendation device, as shown in fig. 3.
Fig. 3 is a schematic structural diagram of a content recommendation device provided in an embodiment of the present specification, 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 the page where the content is located to the first user terminal according to the page address, and record an operation log of the first user terminal;
a counting module 303, configured to identify whether the user obtaining 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 an identification result;
a sending module 304, configured to send, if it is determined to send recommended content to a second user terminal, the recommended content and the browsing number of real users corresponding to the recommended content to the second user terminal according to the browsing number of real users corresponding to each content, so that the second user terminal displays the recommended content and the browsing number of real users corresponding to the recommended content.
Through the content, the server can identify the real user and the non-real user, obtain the browsing number of the real user corresponding to the content, and determine the recommended content based on the browsing number of the real user corresponding to the content, so that the method is more accurate compared with 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 an access right according to the user type corresponding to the first user terminal, wherein the access right is the right for using the first user terminal to access the page; if so, 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 an access right; and if the user type corresponding to the first user terminal is an illegal unreal user type, the first user terminal does not have access authority.
Through the above manner, the present specification can obtain a relatively rough recognition result, the server divides the user types corresponding to the first user terminal into three types, and for the real user type and the legal non-real user type, the above manner cannot completely distinguish the difference between the two types, but the above manner can identify the user of the illegal non-real user type and return the false page to the user of the illegal non-real user type, so that the problem of high browsing amount 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 statistical 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 pre-stored IP address list does not have the IP address; if so, identifying whether the user acquiring the page is the real user or not according to the cookie information; and if the judgment result is negative, identifying the user acquiring the page as a non-real user.
Optionally, the cookie information includes 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 pre-stored UA information; if so, identifying the user acquiring the page as the real user; otherwise, identifying the user acquiring the page as the non-real user.
Optionally, the statistical module 303 is specifically configured to obtain 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 unreal user; if the page is consistent with the non-real user, identifying the user acquiring the page as the non-real user; and if not, identifying the user acquiring the page as the real user.
Optionally, the sending module 304 is specifically configured to, for each content, determine a heat characterization value of the content according to the browsing number of the real user corresponding to the content; determining the sequencing result of each content according to the heat representation 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 number 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 representation value of each content and the user preference information corresponding to the second user terminal.
The ranking result of each content obtained in the description not only considers the trending degree of each content, but also considers the behavior preference of the user using the second user terminal, so that the recommended content determined by the server is both the content according with the user preference and the trending content, and the user experience of obtaining the trending content is better.
The present specification further provides a computer-readable storage medium, which stores a computer program, where the computer program is used to execute the content recommendation method provided in fig. 2.
Based on the content recommendation method shown in fig. 2, an embodiment of this specification further provides a schematic structural diagram of the electronic device shown in fig. 4. As shown in fig. 4, at the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory, but may also include hardware required for other services. The processor reads a corresponding computer program from the non-volatile memory into the memory and then runs the computer program to implement the content recommendation method described in fig. 2 above.
Of course, besides the software implementation, the present specification does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may be hardware or logic devices.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardsradware (Hardware Description Language), vhjhd (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using 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, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, 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 for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, 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 divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
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 computer storage media 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 that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
This 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.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.
Claims (10)
1. A method for recommending content, 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 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;
identifying whether the user acquiring the page is a real user or not according to the user login information and/or the operation log, and counting the browsing number of the real user corresponding to the content according to an identification result;
and if the recommended content is determined to be sent to a second user terminal, sending 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 can display the recommended content.
2. The method according to claim 1, wherein returning the page where the content is located to the first user terminal according to the page address specifically includes:
identifying a user type corresponding to the first user terminal according to the user login information;
judging whether the first user terminal has an access right according to the user type corresponding to the first user terminal, wherein the access right is the right for using the first user terminal to access the page;
if so, 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 an access right; and if the user type corresponding to the first user terminal is an illegal unreal user type, the first user terminal does not have access authority.
3. The method of claim 1, wherein the user login information includes user account identification, internet protocol, IP, address, cookie information;
identifying whether the user obtaining the page is a real user or not according to the user login information, and specifically comprising the following steps:
judging 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 have the IP address;
if so, identifying whether the user acquiring the page is the real user or not according to the cookie information;
and if the judgment result is negative, identifying the user acquiring the page as a non-real user.
4. The method of claim 3, wherein the cookie information comprises a device identification of the user terminal, User Agent (UA) information;
identifying whether the user acquiring the page is the real user or not according to the cookie information, specifically comprising:
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 so, identifying the user acquiring the page as the real user;
otherwise, identifying the user acquiring the page as the non-real user.
5. The method of claim 1, wherein identifying whether the user who obtained the page is a real user according to the operation log specifically comprises:
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 unreal user;
if the page is consistent with the non-real user, identifying the user acquiring the page as the non-real user;
and if not, identifying the user acquiring the page as the real user.
6. The method according to claim 1, wherein sending 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 specifically includes:
for each content, determining a heat representation value of the content according to the browsing number of a real user corresponding to the content;
determining the sequencing result of each content according to the heat representation 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 number of the real user corresponding to the recommended content to the second user terminal.
7. The method according to claim 6, wherein determining the ranking result of each content according to the heat characterization value of each content specifically 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 representation value of each content and the user preference information corresponding to the second user terminal.
8. A content recommendation apparatus, characterized in that the apparatus comprises:
the content acquisition device comprises a receiving module, a sending module and a processing module, wherein the receiving module is used for receiving a request for acquiring content sent by a first user terminal, and 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 statistical module is used for identifying whether the user acquiring the page is a real user or not according to the user login information and/or the operation log, and counting the browsing number of the real user corresponding to the content according to an identification result;
and the sending module is used for sending the recommended content and the browsing number of the real users corresponding to the recommended content to the second user terminal according to the browsing number of the real users 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.
9. 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 1-7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-7 when executing the program.
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