CN111917855A - Content pushing method and device, electronic equipment and storage medium - Google Patents
Content pushing method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a content pushing method, a content pushing device, electronic equipment and a storage medium; the content recommendation method and the content recommendation system can receive a content recommendation request initiated by a first client, the content recommendation request comprises an identity of the first client, then a second client is identified according to the identity of the first client, the second client is a client with the same identity as the first client, then historical display information corresponding to the second client is obtained, then duplication elimination is carried out on content to be recommended of the first client based on the historical display information, the content recommended after duplication elimination is obtained, and then the content recommended after duplication elimination is pushed by the first client. According to the scheme, the cloud server can be used for removing the duplicate of the content to be recommended and then pushing the content to the first client, so that the content pushing efficiency is effectively improved.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a content push method and apparatus, an electronic device, and a storage medium.
Background
With the development and popularization of the internet, information resources on the internet expand exponentially, massive information resources have various characteristics of isomerism, diversification, distribution and the like, and many products can recommend interesting contents to users in a targeted manner according to the information of the users, so that personalized services are provided for the users. In the information products, a user refreshes a recommended information stream after browsing a piece of content, and the content is not pushed to the same user any more, so that articles which are interested by more users can be pushed to the user.
However, if a user views a content X on one of the platforms, such as browser a, and then uses browser B to view information, due to similar recommendation logic, the same user is likely to view the same content X on browser B, which results in repeated consumption of the same information and reduces the information push efficiency.
Disclosure of Invention
The embodiment of the application provides a content pushing method and device, an electronic device and a storage medium, which can effectively improve the content pushing efficiency.
The embodiment of the application provides a content pushing method, which comprises the following steps:
receiving a content recommendation request initiated by a first client, wherein the content recommendation request comprises an identity of the first client;
identifying a second client according to the identity of the first client, wherein the second client is a client with the same identity as the first client;
acquiring historical display information corresponding to the second client;
removing the duplicate of the content to be recommended of the first client based on the historical display information to obtain the recommended content after the duplicate removal;
and pushing the de-duplicated recommended content at the first client.
Correspondingly, an embodiment of the present application further provides a content push apparatus, including:
the system comprises a receiving unit, a sending unit and a receiving unit, wherein the receiving unit is used for receiving a content recommendation request initiated by a first client, and the content recommendation request comprises an identity of the first client;
the identification unit is used for identifying a second client according to the identity of the first client, wherein the second client is a client with the same identity as the first client;
the acquisition unit is used for acquiring historical display information corresponding to the second client;
the duplication removing unit is used for removing duplication of the content to be recommended of the first client based on the historical display information to obtain the duplicated recommended content;
and the pushing unit is used for pushing the deduplicated recommended content at the first client.
Optionally, in some embodiments, the history display information includes history display content and a content identifier of the history display content, the content identifier is an identifier that marks the history display content by using a preset identification manner, and the deduplication unit may include a marking subunit and a deduplication subunit, as follows:
the marking subunit is configured to mark the content to be recommended at the first client in a preset identification manner, so as to obtain a content identification of the content to be recommended;
the duplication removing subunit is configured to duplicate the content to be recommended based on the content identifier of the history display content and the content identifier of the content to be recommended, so as to obtain the duplicated recommended content.
Optionally, in some embodiments, the tagging subunit may be specifically configured to acquire content to be recommended by the first client; performing content identification on the content to be recommended by using a content identification algorithm; determining a content identifier of the content to be recommended according to the identification result and a preset identifier mode; and marking the content to be recommended by using the content identification to obtain the content identification of the content to be recommended.
Optionally, in some embodiments, the tagging subunit may be specifically configured to obtain user data of the first client; determining information preferences of the user according to the user data; and determining the content to be recommended based on the information preference of the user.
Optionally, in some embodiments, the duplication elimination subunit is specifically configured to compare the content identifier of the history display content with the content identifier of the content to be recommended; and when the content identification of the history display information is the same as the content identification of the content to be recommended, deleting the content to be recommended with the same content identification to obtain the recommended content after duplication removal.
Optionally, in some embodiments, the content pushing apparatus may further include a marking unit, as follows:
the marking unit is used for acquiring historical display content of the second client; marking the historical display content by using a preset identification mode to obtain a content identification of the historical display content; and storing the historical display content and the content identifier of the historical display content into the identity identifier corresponding to the second client.
Optionally, in some embodiments, the content pushing apparatus may further include a establishing unit, as follows:
the establishing unit is used for acquiring a plurality of identity identifications and client information corresponding to each identity identification, and the client information comprises a plurality of clients and client identifications corresponding to each client; and establishing a mapping relation between the identity identification and the client according to the corresponding relation between the identity identification and the client identification.
Optionally, in some embodiments, the identification unit may be specifically configured to obtain a mapping relationship between an identity and a client; determining a second client identifier corresponding to the identity identifier of the first client according to the mapping relation; and identifying the second client according to the second client identifier.
In addition, a computer-readable storage medium is provided, where the computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to perform steps in any one of the content push methods provided in the embodiments of the present application.
In addition, an electronic device is further provided in an embodiment of the present application, and includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps in any one of the content push methods provided in the embodiment of the present application.
The embodiment may receive a content recommendation request initiated by a first client, where the content recommendation request includes an identity of the first client, identify a second client according to the identity of the first client, where the second client is a client having the same identity as the first client, then obtain history display information corresponding to the second client, perform deduplication on content to be recommended of the first client based on the history display information, obtain deduplicated recommended content, and then push the deduplicated recommended content at the first client. The scheme can effectively improve the content pushing efficiency.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1a is a schematic view of a content push scenario provided by an embodiment of the present application;
FIG. 1b is a first flowchart of a content pushing method provided by an embodiment of the present application;
FIG. 2a is a schematic diagram of client synchronization of an association GUID provided by an embodiment of the present application;
fig. 2b is a schematic diagram of browsing content a in the client 1 according to the embodiment of the present application;
fig. 2c is a schematic diagram of unified identification of the same content of different clients according to an embodiment of the present application;
FIG. 2d is a second flowchart of a content pushing method provided by an embodiment of the present application;
fig. 2e is a third flowchart of a content pushing method provided in an embodiment of the present application;
FIG. 2f is a schematic diagram of recommended content after push deduplication at the client 2 according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a content pushing apparatus provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The principles of the present application are illustrated as being implemented in a suitable computing environment. In the description that follows, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise indicated. Accordingly, these steps and operations will be referred to, several times, as being performed by a computer, the computer performing operations involving a processing unit of the computer in electronic signals representing data in a structured form. This operation transforms the data or maintains it at locations in the computer's memory system, which may be reconfigured or otherwise altered in a manner well known to those skilled in the art. The data maintains a data structure that is a physical location of the memory that has particular characteristics defined by the data format. However, while the principles of the application have been described in language specific to above, it is not intended to be limited to the specific form set forth herein, and it will be recognized by those of ordinary skill in the art that various of the steps and operations described below may be implemented in hardware.
The term "unit" as used herein may be considered a software object executing on the computing system. The various components, units, engines, and services described herein may be viewed as implementation objects on the computing system. The apparatus and method described herein may be implemented in software, or may be implemented in hardware, and are within the scope of the present application.
The terms "first", "second", and "third", etc. in this application are used to distinguish between different objects and not to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but rather, some embodiments may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The embodiment of the application provides a content pushing method and device, electronic equipment and a storage medium. The content pushing apparatus may be integrated in an electronic device, and the electronic device may be a server or a terminal. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, big data and artificial intelligence platform. The terminal may be, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and the like. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein. The terminal may include devices such as a mobile phone, a tablet Computer, a notebook Computer, and a Personal Computer (PC).
The content push method provided by the embodiment of the application relates to a cloud storage technology in a cloud technology, and data storage related to the content push method can be achieved through the cloud storage technology in the cloud technology.
Cloud technology refers to a hosting technology for unifying serial resources such as hardware, software, network and the like in a wide area network or a local area network to realize calculation, storage, processing and sharing of data.
Cloud technology (Cloud technology) is based on a general term of network technology, information technology, integration technology, management platform technology, application technology and the like applied in a Cloud computing business model, can form a resource pool, is used as required, and is flexible and convenient. Cloud computing technology will become an important support. Background services of the technical network system require a large amount of computing and storage resources, such as video websites, picture-like websites and more web portals. With the high development and application of the internet industry, each article may have its own identification mark and needs to be transmitted to a background system for logic processing, data in different levels are processed separately, and various industrial data need strong system background support and can only be realized through cloud computing.
The distributed cloud storage system (hereinafter referred to as a storage system) refers to a storage system which integrates a large number of storage devices (storage devices are also referred to as storage nodes) of various types in a network through application software or application interfaces to cooperatively work through functions such as cluster application, grid technology, distributed storage file system and the like, and provides data storage and service access functions to the outside.
At present, a storage method of a storage system is as follows: logical volumes are created, and when created, each logical volume is allocated physical storage space, which may be the disk composition of a certain storage device or of several storage devices. The client stores data on a certain logical volume, that is, the data is stored on a file system, the file system divides the data into a plurality of parts, each part is an object, the object not only contains the data but also contains additional information such as data identification (ID, ID entry), the file system writes each object into a physical storage space of the logical volume, and the file system records storage location information of each object, so that when the client requests to access the data, the file system can allow the client to access the data according to the storage location information of each object.
The process of allocating physical storage space for the logical volume by the storage system specifically includes: physical storage space is divided in advance into stripes according to a group of capacity measures of objects stored in a logical volume (the measures often have a large margin with respect to the capacity of the actual objects to be stored) and Redundant Array of Independent Disks (RAID), and one logical volume can be understood as one stripe, thereby allocating physical storage space to the logical volume.
For example, as shown in fig. 1a, first, the server integrated with the content push apparatus may receive a content recommendation request initiated by a first client, where the content recommendation request includes an identity of the first client, and may identify a second client according to the identity of the first client, where the second client is a client having the same identity as the first client, then obtain history display information corresponding to the second client, perform deduplication on content to be recommended of the first client based on the history display information to obtain deduplicated recommended content, and then push the deduplicated recommended content at the first client.
The identity identification-based user identity information is identified, and the historical display contents of the plurality of client sides accessed with the identity identification-based user identity information are uniformly recorded and managed, so that the read contents in the contents to be recommended are subjected to deduplication processing when the user uses the plurality of client sides. Meanwhile, the user does not need to log in the account system of each client, so that the use cost of the user is reduced, the browsing efficiency and the use experience of the user are improved, and the content pushing efficiency is effectively improved. In addition, the data related to the content pushing method is stored in the cloud storage, and the safety of the content pushing method is improved.
The following are detailed below. It should be noted that the following description of the embodiments is not intended to limit the preferred order of the embodiments.
The present embodiment will be described from the perspective of a content push apparatus, which may be specifically integrated in an electronic device.
A content push method, comprising: receiving a content recommendation request initiated by a first client, wherein the content recommendation request comprises an identity of the first client, then identifying a second client according to the identity of the first client, the second client is a client having the same identity with the first client, then acquiring historical display information corresponding to the second client, then removing the duplicate of the content to be recommended of the first client based on the historical display information to obtain the recommended content after the duplicate is removed, and then pushing the recommended content after the duplicate is removed at the first client.
As shown in fig. 1b, the specific flow of the content push method may be as follows:
101. receiving a content recommendation request initiated by a first client, wherein the content recommendation request comprises an identity of the first client.
For example, when a user needs to enter the first client, a user interaction page may be displayed on the terminal, where the user interaction page includes a start control of the first client, and when a user performs a trigger operation on the start control, the electronic device (e.g., a public server) may receive a content recommendation request initiated by the first client. The client refers to a program, such as an Application (APP), for providing local services to the client. The first client refers to a client currently waiting for content push, that is, a client currently entered by a user. The representation form of the control can be in the form of an icon, an input box, a button and the like.
The identity of the first client refers to an identifier that can be used to identify the user identity of the first client, and may include, for example, an equipment identifier of a terminal where the first client is located, a mobile phone number identifier of the terminal where the first client is located, a user account identifier or other identifiers logged in by the first client, and the like. For example, when the user does not log in the account at the first client, the user identity of the first client may be identified by the device identifier of the terminal where the first client is located; for another example, when a user logs in an account at a first client, for example, the user logs in by using a mobile phone number, a micro signal, a QQ number, and the like, the user identity of the first client may be identified through the user account identifier of the user; for another example, when the first client used by the user can obtain the right of the mobile phone number of the user terminal, the user identity of the first client can be identified through the mobile phone number identifier of the terminal where the first client is located, and the like. Certainly, for flexibility and accuracy of the scheme, one or more ways may be used as the identity of the first client at the same time, for example, the user may simultaneously use the login account number of the first client and the device identifier of the terminal where the first client is located as the identity of the first client, and a specific implementation form is not limited herein.
In order to ensure the uniqueness of the device Identifier of the terminal, a Globally Unique Identifier (GUID) may be used for the device Identifier. Where a GUID is an algorithmically generated numeric identifier that is 128 bits in binary length. GUIDs are used primarily in networks or systems having multiple nodes, multiple computers. Ideally, no computer or cluster of computers will generate two identical GUIDs.
The GUID can be used for representing a unique device identifier, the unique device identifier and the unique application identifier can identify a user, and identity information of the user can be identified even if the user does not log in an account system. The format of the GUID is "xxxxxxxx-xxxx-xxxx-xxxxxxxxxxxxxxxx", where each x is a 4-bit hexadecimal number in the range of 0-9 or a-f. For example: 6F9619FF-8B86-D011-B42D-00C04FC964FF is a valid GUID value. When the GUID is needed, the GUID can be completely and automatically generated by an algorithm, and an authority is not needed for management. GUID theoretically can produce a globally unique value, which is convenient for future data import.
For example, specifically, when a user opens a first client that has been accessed and that recognizes user identity information based on a GUID, the first client may initiate a content push request, a server of the first client starts to pull content to be recommended and simultaneously returns the content to an electronic device (e.g., a public server), and the electronic device (e.g., the public server) may receive a content recommendation request initiated by the first client on a terminal, where the content recommendation request includes an identity (i.e., a GUID identity) of the first client. And each client on the terminal also needs to access an electronic device (such as a public server) for identifying the user identity information based on the GUID. To improve the security of content push, the public server may be a cloud server.
102. And identifying a second client according to the identity of the first client, wherein the second client is a client with the same identity as the first client.
For example, before content push, a mapping relationship between the identity identifiers and the clients may be established, for example, a plurality of identity identifiers and client information corresponding to each identity identifier may be specifically obtained, where the client information includes a plurality of clients and a client identifier corresponding to each client; and establishing a mapping relation between the identity identification and the client according to the corresponding relation between the identity identification and the client identification.
After the mapping relationship between the identity and the client is established, identifying a second client according to the identity of the first client, and specifically obtaining the mapping relationship between the identity and the client; determining a second client identifier corresponding to the identity identifier of the first client according to the mapping relation; and identifying the second client according to the second client identifier.
Optionally, the second client is a client having the same identity as the first client, so the second client may also include the first client.
For example, when the user does not log in an account at the first client and the identity of the first client is the device identifier of the terminal where the first client is located, the unique identifier of the terminal may be represented by a GUID, and the terminal information is mainly used to determine the identity information of the user, so that the user can identify the corresponding user without logging in an account system, and the server background associates the client information of the user with the GUID associated with the user, that is, the identity.
103. And acquiring historical display information corresponding to the second client.
The history display information comprises history display content and a content identifier of the history display content, and the content identifier is an identifier for marking the history display content by using a preset identification mode. The history display content refers to content displayed at the second client, and may also refer to content browsed by the user in the content displayed at the second client, that is, may refer to history browsing content, where the history display information may specifically be history browsing information, and the like.
The historical display content is displayed differently for different contents, for example, when the content is an image or information, the display mode may be display, when the content is a video or audio, the display mode may be play, and the like.
Because the content identification systems corresponding to the same contents put in storage in different platform channels are not necessarily the same, the contents including pictures, videos, titles and contents are checked by a content identification algorithm, and the contents under different clients and channels are identified and correspond to the last common content identification mark.
For example, history display content of the second client may be specifically obtained; marking the historical display content by using a preset identification mode to obtain a content identification of the historical display content; and storing the historical display content and the content identifier of the historical display content into the identity identifier corresponding to the second client.
Optionally, since the second client may include the first client, obtaining the historical display content of the second client may include obtaining the historical display content of the first client and the historical display content of the client having the same identity as the first client. By marking the historical display content of the first client, the scheme can avoid the problem that the content recommended by the same client is repeatedly recommended, effectively improve the user experience and improve the content pushing efficiency.
The preset identification mode refers to a preset unified identification mode used by different platforms and different clients, and the preset identification mode can be preset and stored in the server, also can be stored in the memory and sent to the server, and the like.
For example, the content identifier of the historical display content is obtained by marking the historical display content in a preset identifier manner, and specifically, the content identifier of the historical display content is obtained by identifying the historical display content by using a content identification algorithm and marking the historical display content in a preset identifier manner based on an identification result.
The Content identification algorithm may refer to any algorithm capable of identifying Content (for example, history display Content, Content to be recommended, and the like), and may include, for example, Automatic Content identification (ACR), video Content identification algorithm, image identification algorithm, and the like, which is not limited herein. For example, the present solution may preset an applicable content recognition algorithm to be stored in the server, or may store the content recognition algorithm in the memory and send the content recognition algorithm to the server.
The ACR is a technology for directly identifying multimedia contents (audio, video and image) by using a computer algorithm, the input of the identification algorithm can be a multimedia file, or original data acquired by a microphone and a camera, and then characteristic comparison and search are performed in a massive multimedia database, so that a matching result is obtained.
The ACR technology is similar to a character search engine in working principle, needs to collect massive image, audio and video resources, continuously updates the resources, extracts the digital characteristics of multimedia resources through a digital signal processing technology, indexes and stores the digital characteristics, and constructs an index database and a search engine.
When the ACR search engine receives the query request, the same processing process is adopted for the multimedia data fragments contained in the request, the digital features with the same format are extracted, then the similarity is searched, filtered and calculated in the index database, the multimedia resource most similar to the unknown fragment is found, and when the similarity reaches a certain confidence coefficient, the matching result is considered to be found.
104. And removing the duplicate of the content to be recommended of the first client based on the historical display information to obtain the content recommended after the duplicate removal.
For example, the content to be recommended of the first client may be specifically marked by using a preset identification manner to obtain a content identification of the content to be recommended, and the content to be recommended is deduplicated based on the content identification of the history display content and the content identification of the content to be recommended to obtain the recommended content after deduplication.
The content to be recommended may include information stream content to be recommended, video content to be recommended, image content to be recommended, audio content to be recommended, and the like, which is not limited herein.
The method for marking the content to be recommended of the first client by using the preset identification mode can be various, for example, the content to be recommended of the first client can be specifically obtained; identifying the content to be recommended by using a content identification algorithm; determining the content identification of the content to be recommended according to the identification result and a preset identification mode; and marking the content to be recommended by using the content identification to obtain the content identification of the content to be recommended.
For example, any one of the manners for realizing content recommendation of the client may be used to generate the content to be recommended of the first client, and then the content to be recommended of the first client is sent to the public server. The generation mode of the content to be recommended of the first client may be generated by using a recommendation mode of a server corresponding to the client, or may be generated by using a recommendation mode preset by a public server. For example, user data of the first client may be specifically acquired; determining information preferences of the user according to the user data; and determining the content to be recommended based on the information preference of the user.
The content to be recommended may be deduplicated, for example, the content identifier of the history display content may be compared with the content identifier of the content to be recommended; and when the content identification of the history display information is the same as the content identification of the content to be recommended, deleting the content to be recommended with the same content identification to obtain the recommended content after duplication removal.
105. And pushing the de-duplicated recommended content at the first client.
For example, when the user performs a trigger operation on the launch control, the first client displays a content display page. For example, specifically, the electronic device (e.g., a public server) may push the deduplicated recommended content to a first client on the terminal, and then display the deduplicated recommended content on a content display page of the first client.
According to an aspect of the present application, a computer program product or a computer program is provided, and the computer program product or the computer program includes computer instructions stored in a computer readable storage medium, and a processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to make the computer device execute the method provided in the various optional implementation modes of the content pushing aspect.
As can be seen from the above, in this embodiment, a content recommendation request initiated by a first client may be received, where the content recommendation request includes an identity of the first client, and then a second client is identified according to the identity of the first client, where the second client is a client having the same identity as the first client, and then history display information corresponding to the second client is obtained, and then, a content to be recommended of the first client is deduplicated based on the history display information to obtain a content recommended after deduplication, and then, the content recommended after deduplication is pushed at the first client. The method and the system have the advantages that the user identity information is identified based on the identity identification, and the historical display contents of the plurality of client sides accessed with the identity identification for identifying the user identity information are uniformly recorded and managed, so that the read contents in the contents to be recommended are subjected to duplicate removal in the plurality of information client sides. Meanwhile, the user does not need to log in the account system of each client, so that the use cost of the user is reduced, the browsing efficiency and the use experience of the user are improved, and the content pushing efficiency is effectively improved.
The method described in the previous embodiment is further detailed by way of example.
In this embodiment, the content pushing apparatus is specifically integrated in a public server, the content to be recommended is information stream content to be recommended, the identity identifier is an equipment identifier of a terminal, the history display information is history browsing information, and the history display content is history browsing content.
Firstly, historical browsing content can be marked, which specifically includes the following steps:
according to the scheme, the unique identifier of the terminal can be represented by the GUID, the identification information of the terminal is mainly used for judging the identity information of the user, so that the user can identify the corresponding user without logging in an account system, and the client information of the user is associated to the GUID associated with the user, namely the equipment identifier of the terminal by the public server background. For example, the public server may specifically obtain device identifiers of multiple terminals and client information corresponding to each device identifier, where the client information includes multiple clients on the terminals and a client identifier corresponding to each client; and establishing a mapping relation between the equipment identifier and the client according to the corresponding relation between the equipment identifier and the client identifier.
For example, as shown in FIG. 2a, the common server may synchronize the client's browsing records to the corresponding GUID user's browsing records. For example, the public server may specifically obtain the historical browsing content of the client, mark the historical browsing content by using a preset mark mode to obtain a content mark of the historical browsing content, and store the historical browsing content and the content mark of the historical browsing content in the device mark corresponding to the client. For example, as shown in fig. 2b, when a user opens the recommended information stream content of the client 1, for example, when the XX browser browses a new content a, the read record of the user is uploaded to the client 1 server background, the client 1 server background synchronizes the read record to the public server, the public server identifies the content corresponding to the read record, marks the content as Aa, and stores the content in the identity information corresponding to the GUID generated by the device information (for example, the terminal where the XX browser is located) identified by the public server, that is, in the public browsing record of the corresponding GUID user.
For example, as shown in fig. 2c, the public server may specifically identify the history browsing content by using a content identification algorithm, and mark the history browsing content by using a preset identification manner based on the identification result to obtain the content identifier of the history browsing content.
And (ii) pushing content based on the marked historical browsing content, which may be specifically referred to in fig. 2d and fig. 2 e.
As shown in fig. 2d, a content push method may specifically include the following processes:
201. the public server receives a content recommendation request initiated by a first client, wherein the content recommendation request comprises the identity of the first client.
For example, when a user needs to enter the first client, a user interaction page may be displayed on the terminal, where the user interaction page includes a start control of the first client, and when a user performs a trigger operation on the start control, the public server may receive a content recommendation request initiated by the first client.
For example, when a user opens a first client (e.g., client 2) that has accessed information identifying user identity based on GUID, the client 2 may initiate a content push request, that is, request the background of the client 2 server for recommending information stream content, the server of the client 2 starts to pull the information stream content to be recommended and simultaneously returns the information stream content to the public server, and the public server may receive the content push request initiated by the first client on the terminal. Wherein the content recommendation request comprises an identity (i.e. GUID identity) of the first client. To improve the security of content push, the public server may be a cloud server.
The server of the client 2 pulls the information stream content to be recommended, and specifically, the information preference of the user can be determined according to the user data by acquiring the user data of the client 2, and the information stream content to be recommended is determined based on the information preference of the user.
202. And the public server identifies the second client according to the identity of the first client.
For example, the public server may specifically obtain a mapping relationship between the device identifier and the client; determining a second client identifier corresponding to the equipment identifier of the first client according to the mapping relation; and identifying the second client according to the second client identifier. In this case, the second client may be a client that accesses the device identifier on the terminal except the first client, for example, the second client may be a client that accesses the user identity information identified based on the GUID on the terminal except the first client, such as client 1, client 3 and the like shown in fig. 2 a. The second client may also be a client (i.e. may also include the first client) that is identified by the access device on the terminal, for example, the second client may be a client (i.e. may also include the first client) that accesses the GUID-based user identity information on the terminal, such as client 1, client 2, client 3, and the like shown in fig. 2 a.
203. And the public server acquires the historical browsing information corresponding to the second client.
The historical browsing information comprises historical browsing content and a content identifier of the historical browsing content, wherein the content identifier is an identifier for marking the historical browsing content by using a preset identification mode. The history browsing content refers to the content browsed by the user on the second client, and may also include the content browsed by the user on the first client. For example, the public server may obtain a public browsing record under the user account of the device identity, such as the read content a of the client 1.
204. And the public server marks the content to be recommended of the first client in a preset identification mode to obtain the content identification of the content to be recommended.
For example, the public server may specifically obtain a content to be recommended from the first client, perform content identification on the content to be recommended by using a content identification algorithm, determine a content identifier of the content to be recommended according to an identification result and a preset identification mode, and mark the content to be recommended by using the content identifier to obtain a content identifier of the content to be recommended. For example, the public server may perform content identification on the acquired information stream content to be recommended, determine a content identifier of the information stream content to be recommended according to an identification result and a preset identification mode, and mark the information stream content to be recommended by using the content identifier to obtain a content identifier of the information stream content to be recommended, such as Aa.
205. And the public server performs duplicate removal on the content to be recommended based on the content identifier of the historical browsing content and the content identifier of the content to be recommended to obtain the recommended content after duplicate removal.
For example, the public server may specifically compare the content identifier of the history browsing content with the content identifier of the content to be recommended; and when the content identification of the historical browsing information is the same as the content identification of the content to be recommended, deleting the content to be recommended with the same content identification to obtain the recommended content after duplication removal. For example, as shown in fig. 2f, the public server may specifically compare the content identifier of the history browsing content with the content identifier of the information stream content to be recommended; when the content mark Aa of the history browsing information is the same as the content mark Aa of the information stream content to be recommended, deleting the information stream content Aa to be recommended with the same content mark to obtain the repeated recommended information stream content, as shown in fig. 2 f.
206. And the public server pushes the duplicate-removed recommended content to the first client.
For example, the public server may push the content of the deduplicated recommended information stream to the client 2.
In order to improve the content pushing efficiency, when a user browses recommended information stream content B in a client 2, the information stream content B may be marked as read, the read record is uploaded to a server background of the client 2, and the read record is uploaded to a public server by the server background of the client 2, at this time, the public server may perform an identification mark, such as mark Ba, on the information stream content B, and store the information stream content B in identity information corresponding to a GUID generated by device information (such as a terminal where an XX browser is located) identified by the server, that is, in a public browsing record of a corresponding GUID user.
207. And the terminal displays the recommended content after the duplication elimination on a content display page of the first client.
For example, when the user performs a trigger operation on the start control of the client 2, the client 2 displays a content display page, the public server pushes the content of the deduplicated recommended information stream to the client 2, and then the content of the deduplicated recommended information stream is displayed on the content display page of the client 2.
The browsing history of the corresponding user stored in the public server can remove the duplicate of the recommended content, can more comprehensively and accurately identify the content interested by the user according to the public browsing record of the user to recommend the interest of the user, and can also timely push the content interested by the user to the user when browsing across clients and cold starting of a new APP.
As can be seen from the above, in this embodiment, a content recommendation request initiated by a first client may be received, where the content recommendation request includes an identity of the first client, and then a second client is identified according to the identity of the first client, where the second client is a client having the same identity as the first client, and then history browsing information corresponding to the second client is obtained, and then, based on the history browsing information, a content to be recommended of the first client is deduplicated to obtain a recommended content after deduplication, and then, the recommended content after deduplication is pushed at the first client. According to the scheme, the content records consumed in the multi-platform information products under the same user identity information identified based on the GUID can be recorded and uploaded to the public server, so that a complete historical record of the user browsing content is formed. All platform information products accessed with the user identity information based on GUID identification can read and write browsing history, and cross-terminal duplicate removal is realized on read contents when recommendation contents are continuously updated, so that repeated recommendation of the same content by a user is avoided. According to the scheme, the user can recommend and duplicate the browsed content when consuming the information content at the cross-terminal, so that the browsing efficiency and the use experience of the user in recommending information streams are improved, meanwhile, the account system of each client does not need to be logged in, the use cost of the user is reduced, and the duplicated recommended content is more accurate and effective for the client.
In order to better implement the method, correspondingly, the embodiment of the present application further provides a content pushing apparatus, where the content pushing apparatus may be specifically integrated in an electronic device, and the electronic device may be a server or a terminal.
For example, as shown in fig. 3, the content push apparatus may include a receiving unit 301, a recognizing unit 302, an acquiring unit 303, a deduplication unit 304, and a pushing unit 305 as follows:
a receiving unit 301, configured to receive a content recommendation request initiated by a first client, where the content recommendation request includes an identity of the first client;
an identifying unit 302, configured to identify a second client according to the identity of the first client, where the second client is a client having the same identity as the first client;
an obtaining unit 303, configured to obtain history display information corresponding to the second client;
a duplicate removal unit 304, configured to remove duplicate of the content to be recommended of the first client based on the historical display information, so as to obtain a duplicate-removed recommended content;
a pushing unit 305, configured to push the deduplicated recommended content at the first client.
Optionally, in some embodiments, the history display information includes history display content and a content identifier of the history display content, the content identifier is an identifier that marks the history display content by using a preset identification manner, and the deduplication unit 304 may include a marking subunit and a deduplication subunit, as follows:
the marking subunit is configured to mark the content to be recommended at the first client in a preset identification manner, so as to obtain a content identification of the content to be recommended;
the duplication removing subunit is configured to duplicate the content to be recommended based on the content identifier of the history display content and the content identifier of the content to be recommended, so as to obtain the duplicated recommended content.
Optionally, in some embodiments, the tagging subunit may be specifically configured to acquire content to be recommended by the first client; performing content identification on the content to be recommended by using a content identification algorithm; determining a content identifier of the content to be recommended according to the identification result and a preset identifier mode; and marking the content to be recommended by using the content identification to obtain the content identification of the content to be recommended.
Optionally, in some embodiments, the tagging subunit may be specifically configured to obtain user data of the first client; determining information preferences of the user according to the user data; and determining the content to be recommended based on the information preference of the user.
Optionally, in some embodiments, the duplication elimination subunit is specifically configured to compare the content identifier of the history display content with the content identifier of the content to be recommended; and when the content identification of the history display information is the same as the content identification of the content to be recommended, deleting the content to be recommended with the same content identification to obtain the recommended content after duplication removal.
Optionally, in some embodiments, the content pushing apparatus may further include a marking unit 306, as follows:
the marking unit 306 is configured to obtain history display content of the second client; marking the historical display content by using a preset identification mode to obtain a content identification of the historical display content; and storing the historical display content and the content identifier of the historical display content into the identity identifier corresponding to the second client.
Optionally, in some embodiments, the content pushing apparatus may further include a establishing unit 307, as follows:
the establishing unit 307 is configured to obtain a plurality of identity identifiers and client information corresponding to each identity identifier, where the client information includes a plurality of clients and a client identifier corresponding to each client; and establishing a mapping relation between the identity identification and the client according to the corresponding relation between the identity identification and the client identification.
Optionally, in some embodiments, the identifying unit 302 may be specifically configured to obtain a mapping relationship between an identity and a client; determining a second client identifier corresponding to the identity identifier of the first client according to the mapping relation; and identifying the second client according to the second client identifier.
Optionally, in some embodiments, the receiving unit 301 may be specifically configured to display a user interaction page of the terminal, where the user interaction page includes a start control of the first client; and when the user triggers the control, receiving a content recommendation request initiated by the first client.
In a specific implementation, the above units may be implemented as independent entities, or may be combined arbitrarily to be implemented as the same or several entities, and the specific implementation of the above units may refer to the foregoing method embodiments, which are not described herein again.
As can be seen from the above, in this embodiment, the receiving unit 301 may receive a content recommendation request initiated by a first client, where the content recommendation request includes an identity of the first client, then, the identifying unit 302 identifies a second client according to the identity of the first client, where the second client is a client having the same identity as the first client, then, the obtaining unit 303 obtains history display information corresponding to the second client, then, the deduplication unit 304 performs deduplication on content to be recommended of the first client based on the history display information to obtain deduplicated recommended content, and then, the pushing unit 305 pushes the deduplicated recommended content at the first client. The method and the system have the advantages that the user identity information is identified based on the identity identification, and the historical display contents of the plurality of client sides accessed with the identity identification for identifying the user identity information are uniformly recorded and managed, so that the read contents in the contents to be recommended are subjected to duplicate removal in the plurality of information client sides. Meanwhile, the user does not need to log in the account system of each client, so that the use cost of the user is reduced, the browsing efficiency and the use experience of the user are improved, and the content pushing efficiency is effectively improved.
In addition, an electronic device according to an embodiment of the present application is further provided, as shown in fig. 4, which shows a schematic structural diagram of the electronic device according to an embodiment of the present application, and specifically:
the electronic device may include components such as a processor 401 of one or more processing cores, memory 402 of one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 4 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 401 is a control center of the electronic device, connects various parts of the whole electronic device by various interfaces and lines, performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 402 and calling data stored in the memory 402, thereby performing overall monitoring of the electronic device. Optionally, processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 401.
The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by operating the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 access to the memory 402.
The electronic device further comprises a power supply 403 for supplying power to the various components, and preferably, the power supply 403 is logically connected to the processor 401 through a power management system, so that functions of managing charging, discharging, and power consumption are realized through the power management system. The power supply 403 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The electronic device may further include an input unit 404, and the input unit 404 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the electronic device may further include a display unit and the like, which are not described in detail herein. Specifically, in this embodiment, the processor 401 in the electronic device loads the executable file corresponding to the process of one or more application programs into the memory 402 according to the following instructions, and the processor 401 runs the application program stored in the memory 402, thereby implementing various functions as follows:
receiving a content recommendation request initiated by a first client, wherein the content recommendation request comprises an identity of the first client, then identifying a second client according to the identity of the first client, the second client is a client having the same identity with the first client, then acquiring historical display information corresponding to the second client, then removing duplication of content to be recommended of the first client based on the historical display information to obtain recommended content after duplication removal, and then pushing the recommended content after duplication removal at the first client.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
As can be seen from the above, in this embodiment, a content recommendation request initiated by a first client may be received, where the content recommendation request includes an identity of the first client, and then a second client is identified according to the identity of the first client, where the second client is a client having the same identity as the first client, and then history display information corresponding to the second client is obtained, and then, based on the history display information, a content to be recommended of the first client is deduplicated to obtain a recommended content after deduplication, and then, the recommended content after deduplication is pushed at the first client. The method and the system have the advantages that the user identity information is identified based on the identity identification, and the historical display contents of the plurality of client sides accessed with the identity identification for identifying the user identity information are uniformly recorded and managed, so that the read contents in the contents to be recommended are subjected to duplicate removal in the plurality of information client sides. Meanwhile, the user does not need to log in the account system of each client, so that the use cost of the user is reduced, the browsing efficiency and the use experience of the user are improved, and the content pushing efficiency is effectively improved.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, embodiments of the present application further provide a computer-readable storage medium, in which a plurality of instructions are stored, where the instructions can be loaded by a processor to execute the steps in any one of the content push methods provided in the embodiments of the present application. For example, the instructions may perform the steps of:
receiving a content recommendation request initiated by a first client, wherein the content recommendation request comprises an identity of the first client, then identifying a second client according to the identity of the first client, the second client is a client having the same identity with the first client, then acquiring historical display information corresponding to the second client, then removing duplication of content to be recommended of the first client based on the historical display information to obtain recommended content after duplication removal, and then pushing the recommended content after duplication removal at the first client.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the computer-readable storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the computer-readable storage medium can execute the steps in any content push method provided in the embodiments of the present application, beneficial effects that can be achieved by any content push method provided in the embodiments of the present application can be achieved, for details, see the foregoing embodiments, and are not described herein again.
The content push method, device, electronic device and storage medium provided by the embodiments of the present application are described in detail above, and a specific example is applied in the present application to explain the principle and the implementation of the present application, and the description of the above embodiments is only used to help understand the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (11)
1. A method for pushing content, comprising:
receiving a content recommendation request initiated by a first client, wherein the content recommendation request comprises an identity of the first client;
identifying a second client according to the identity of the first client, wherein the second client is a client with the same identity as the first client;
acquiring historical display information corresponding to the second client;
removing the duplicate of the content to be recommended of the first client based on the historical display information to obtain the recommended content after the duplicate removal;
and pushing the de-duplicated recommended content at the first client.
2. The method according to claim 1, wherein the history display information includes history display content and a content identifier of the history display content, the content identifier is an identifier that marks the history display content by using a preset identification manner, and the removing duplicate of the content to be recommended of the first client based on the history display information to obtain the removed duplicate recommended content includes:
marking the content to be recommended of the first client by using a preset identification mode to obtain a content identification of the content to be recommended;
and removing the duplicate of the content to be recommended based on the content identification of the historical display content and the content identification of the content to be recommended to obtain the recommended content after the duplicate removal.
3. The method according to claim 2, wherein the marking the content to be recommended at the first client by using a preset identification manner to obtain the content identification of the content to be recommended comprises:
acquiring the content to be recommended of the first client;
performing content identification on the content to be recommended by using a content identification algorithm;
determining a content identifier of the content to be recommended according to the identification result and a preset identifier mode;
and marking the content to be recommended by using the content identification to obtain the content identification of the content to be recommended.
4. The method according to claim 3, wherein the obtaining of the content to be recommended by the first client comprises:
acquiring user data of the first client;
determining information preferences of the user according to the user data;
and determining the content to be recommended based on the information preference of the user.
5. The method according to claim 2, wherein the removing the duplicate of the content to be recommended based on the content identifier of the history display content and the content identifier of the content to be recommended to obtain the recommended content after the duplicate removal comprises:
comparing the content identification of the historical display content with the content identification of the content to be recommended;
and when the content identification of the history display information is the same as the content identification of the content to be recommended, deleting the content to be recommended with the same content identification to obtain the recommended content after duplication removal.
6. The method according to claim 3, further comprising, before the obtaining of the historical display information corresponding to the second client:
acquiring historical display content of a second client;
marking the historical display content by using a preset identification mode to obtain a content identification of the historical display content;
and storing the historical display content and the content identifier of the historical display content into the identity identifier corresponding to the second client.
7. The method of claim 1, wherein before identifying the second client according to the identity of the first client, the method further comprises:
the method comprises the steps of obtaining a plurality of identity identifications and client information corresponding to each identity identification, wherein the client information comprises a plurality of clients and client identifications corresponding to each client;
and establishing a mapping relation between the identity identification and the client according to the corresponding relation between the identity identification and the client identification.
8. The method of claim 7, wherein identifying the second client according to the identity of the first client comprises:
acquiring a mapping relation between the identity and the client;
determining a second client identifier corresponding to the identity identifier of the first client according to the mapping relation;
and identifying the second client according to the second client identifier.
9. A content pushing apparatus, comprising:
the system comprises a receiving unit, a sending unit and a receiving unit, wherein the receiving unit is used for receiving a content recommendation request initiated by a first client, and the content recommendation request comprises an identity of the first client;
the identification unit is used for identifying a second client according to the identity of the first client, wherein the second client is a client with the same identity as the first client;
the acquisition unit is used for acquiring historical display information corresponding to the second client;
the duplication removing unit is used for removing duplication of the content to be recommended of the first client based on the historical display information to obtain the duplicated recommended content;
and the pushing unit is used for pushing the deduplicated recommended content at the first client.
10. A computer-readable storage medium storing a plurality of instructions, the instructions being adapted to be loaded by a processor to perform the steps of the content push method according to any one of claims 1 to 8.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method according to any of claims 1 to 8 are implemented when the program is executed by the processor.
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| CN114003765A (en) * | 2021-12-30 | 2022-02-01 | 深圳维特智能科技有限公司 | Personalized recommendation method and device, computer equipment and storage medium |
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