CN110941739A - Media file recommendation method and device, media file server and storage medium - Google Patents
Media file recommendation method and device, media file server and storage medium Download PDFInfo
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Abstract
The present disclosure provides a media file recommendation method, the method comprising: acquiring geographical position information corresponding to an interest point in media file data; determining media files of different data sources corresponding to the interest points based on the obtained geographic position information; aggregating all media files corresponding to the interest points; and recommending corresponding media files in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user. The disclosure also provides a media file recommendation device, a media file server and a storage medium.
Description
Technical Field
The present disclosure relates to multimedia technologies, and in particular, to a method and an apparatus for recommending a media file, a media file server, and a storage medium.
Background
With the development of communication technology, the data transmitted between terminals through the network is larger and larger, so that various information related to life or work can be acquired through the internet, and various entertainment activities can be performed by using the internet.
At present, live broadcast and sharing of media files become a favorite entertainment and social function of the public, and video sharing and transmission can be carried out between terminals through media file application. The terminal to be shared publishes the media file to be shared through the media file application, other terminals can watch the media file to be shared through the media file application, the media file to be shared can also share characters during publishing, and other terminals can also acquire the character information during video acquisition.
However, the current sharing of media files or videos only focuses on video sharing and video content transmission, and the implementation form is single, and the pertinence and the expansibility are lacked. Points of Interest (POI) which are more matched with the user cannot be recommended to the user according to the using habits of the user, and further, because a large amount of media file data of different data sources may exist under the same Point of Interest, the prior art cannot recommend corresponding media files to the target user in a targeted manner.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a method and an apparatus for recommending a media file, a media file server and a storage medium
The technical scheme of the embodiment of the disclosure is realized as follows:
a media file recommendation method is applied to a media file server and comprises the following steps:
acquiring geographical position information corresponding to an interest point in media file data;
determining media files of different data sources corresponding to the interest points based on the obtained geographic position information;
aggregating all media files corresponding to the interest points;
and recommending corresponding media files in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user.
In the foregoing solution, the determining media files of different data sources corresponding to the interest point based on the obtained geographic location information includes:
screening interest points corresponding to the geographic position information in a corresponding map database according to a preset mapping relation between an interest point database and the map database;
and screening the media files of different data sources corresponding to the interest points in a media file database.
In the foregoing solution, the aggregating all media files corresponding to the interest point includes:
acquiring media files of different data sources belonging to the interest points;
sorting all the media files corresponding to the aggregated interest points according to the collected times corresponding to the acquired media files of different data sources;
and taking the media file with the most collection times as the first to-be-recommended media file in all the media files corresponding to the aggregated interest points.
In the above scheme, the recommending, based on the historical behavior data of the target user, a corresponding media file from all media files corresponding to the interest point includes:
acquiring historical operation data corresponding to a target user of a media file client;
determining video screening parameters based on the historical operating data;
screening corresponding media files based on the video screening parameters;
and controlling a preset display area in the detail page of the interest point to present the media file based on the screened media file.
In the above scheme, the method further comprises:
and controlling the display mode of the interest points in the media files based on the historical behavior data of the target user.
In the above scheme, the controlling the display mode of the interest point in the media file based on the historical behavior data of the target user includes:
controlling to load the icon control of the interest point according to the historical behavior data of the target user, and,
and controlling the information control for loading the interest points to realize a corresponding display mode.
In the above scheme, the method further comprises:
and controlling the arrangement sequence of the detailed information of the interest points in the media files according to the type information of the media file client and/or the historical behavior data of the target user.
The embodiment of the present disclosure further provides a media file recommending apparatus, including:
the information acquisition module is used for acquiring the geographical position information corresponding to the interest points in the media file data;
the information processing module is used for determining media files of different data sources corresponding to the interest points based on the acquired geographic position information;
the information processing module is used for aggregating all media files corresponding to the interest points;
and the information processing module is used for recommending corresponding media files in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user.
In the above-mentioned scheme, the first step of the method,
the information processing module is used for screening the interest points corresponding to the geographic position information in the corresponding map database according to the mapping relation between a preset interest point database and the map database;
and the information processing module is used for screening the media files of different data sources corresponding to the interest points in a media file database.
In the above-mentioned scheme, the first step of the method,
the information processing module is used for acquiring media files of different data sources belonging to the interest points;
the information processing module is used for sequencing all the media files corresponding to the aggregated interest points according to the collected times corresponding to the media files of different data sources;
and the information processing module is used for taking the media file with the most collection times as the first to-be-recommended media file in all the media files corresponding to the aggregated interest points.
In the above-mentioned scheme, the first step of the method,
the information processing module is used for acquiring historical operation data corresponding to a target user of the media file client;
the information processing module is used for determining video screening parameters based on the historical operation data;
the information processing module is used for screening corresponding media files based on the video screening parameters;
and the information processing module is used for controlling a preset display area in the detail page of the interest point to present the media file based on the screened media file.
In the above-mentioned scheme, the first step of the method,
and the information processing module is used for controlling the display mode of the interest points in the media files based on the historical behavior data of the target user.
In the above-mentioned scheme, the first step of the method,
the information processing module is used for controlling the icon control for loading the interest point according to the historical behavior data of the target user;
and the information processing module is used for controlling and loading the information control of the interest point so as to realize a corresponding display mode.
In the above-mentioned scheme, the first step of the method,
and the information processing module is used for controlling the arrangement sequence of the detailed information of the interest points in the media files according to the type information of the client and/or the historical behavior data of the target user.
An embodiment of the present disclosure further provides a media file server, including:
a memory for storing executable instructions;
and the processor is used for realizing the media file recommendation method when executing the executable instruction.
The embodiment of the disclosure also provides a storage medium storing executable instructions, and the executable instructions are used for implementing the media file recommendation method when being executed.
The embodiment of the disclosure provides a media file recommendation method, a server and a storage medium, and has the following technical effects:
obtaining geographical position information corresponding to an interest point in media file data; determining media files of different data sources corresponding to the interest points based on the obtained geographic position information; aggregating all media files corresponding to the interest points; and recommending corresponding media files in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user. The method not only can aggregate all media files corresponding to the interest points, but also can recommend corresponding media files in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user, thereby avoiding the defect that the directional recommendation can not be carried out according to the characteristics of the target user. Since the media files corresponding to the historical behavior data of the target user are recommended to the user, the use experience of the user is improved.
Drawings
Fig. 1 is a schematic view of an application scenario of a media file recommendation method according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of an alternative hardware structure of a media file server according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of an alternative component structure of a media file server according to an embodiment of the present disclosure;
FIG. 4 is a schematic flow chart illustrating an alternative method for recommending media files according to an embodiment of the present disclosure;
FIG. 5 is a schematic flow chart illustrating an alternative method for recommending media files according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram illustrating an application of the method for determining point of interest details according to the embodiment of the present disclosure;
FIG. 7A is a schematic diagram illustrating an alternative usage process of the media file recommendation method according to the embodiment of the disclosure;
fig. 7B is a schematic diagram illustrating an alternative usage process of the media file recommendation method according to the embodiment of the present disclosure.
Detailed Description
For the purpose of making the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be described in further detail with reference to the accompanying drawings, the described embodiments should not be construed as limiting the present disclosure, and all other embodiments obtained by a person of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present disclosure.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. The terminology used herein is for the purpose of describing embodiments of the disclosure only and is not intended to be limiting of the disclosure.
It should be noted that, in the embodiments of the present disclosure, the terms "comprises," "comprising," or any other variation thereof are intended to cover a non-exclusive inclusion, so that a method or apparatus including a series of elements includes not only the explicitly recited elements but also other elements not explicitly listed or inherent to the method or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other related elements in a method or apparatus including the element (e.g., steps in a method or elements in an apparatus, such as units that may be part of a circuit, part of a processor, part of a program or software, etc.).
For example, the method for presenting the point of interest in the video provided by the embodiment of the present disclosure includes a series of steps, but the method for presenting the point of interest in the video provided by the embodiment of the present disclosure is not limited to the described steps, and similarly, the terminal provided by the embodiment of the present disclosure includes a series of units, but the terminal provided by the embodiment of the present disclosure is not limited to include the explicitly described units, and may further include units that are required to be set when acquiring the relevant information or performing processing based on the information. It should be noted that in the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
Before further detailed description of the embodiments of the present disclosure, terms and expressions referred to in the embodiments of the present disclosure are explained, and the terms and expressions referred to in the embodiments of the present disclosure are applied to the following explanations.
1) Media information, including but not limited to short-film videos and pictures, is a propagation mode of original videos facing users of a social network, audiences are partial or all users in the social network, and points of interest of the media information are connected with a third-party server in the network. Wherein the video may be a short video, i.e. a short-film video.
2) The interest point is a location attribute of the media file, and may be information that can represent a scene, such as buildings with identification, areas (e.g., cities), landscapes (e.g., scenic spots), and third-party service entities (e.g., shops, restaurants, and accommodations).
3) In response to the condition or state on which the performed operation depends, one or more of the performed operations may be in real-time or may have a set delay when the dependent condition or state is satisfied; there is no restriction on the order of execution of the operations performed unless otherwise specified.
4) Detailed information of the points of interest, including but not limited to: the positioning map of the interest point, the structural information of the interest point and the related media file of the interest point.
5) And the display mode is used for representing the display position and the display time of the detailed information of the interest point in the corresponding display interface.
The following describes an exemplary application of an apparatus implementing the embodiments of the present disclosure, and the apparatus provided by the embodiments of the present disclosure may be implemented as various types of electronic devices with a server function, such as a tablet computer, a notebook computer, a central processing unit, and the like.
A usage scenario in which the media file recommendation method of the embodiments of the present disclosure is implemented will now be described with reference to the accompanying drawings. Referring to fig. 1, fig. 1 is a schematic view of an application scenario of a media file recommendation method provided by an embodiment of the present disclosure, in order to support an exemplary application, a background server implementing the embodiment of the present disclosure is taken as an example of the background server 30, and a user terminal 10 (an example of which is shown a user terminal 10-1 and a user terminal 10-2) is connected to the background server 30 through a network 20, where the network 20 may be a wide area network or a local area network, or a combination of the two, and data transmission is implemented using a wireless link.
The background server 30 is configured to obtain geographic location information corresponding to an interest point in the media file data; determining media files of different data sources corresponding to the interest points based on the obtained geographic position information; aggregating all media files corresponding to the interest points; recommending corresponding media files in all the media files corresponding to the interest points to the target user based on historical behavior data of the target user; the user terminal 10 displays corresponding interest points recommended to a user through a graphical interface 110 (an exemplary graphical interface 110-1 for sharing media information and a graphical interface 110-2 for displaying a set of interest points are shown) so that the user can obtain corresponding media files according to needs, and the background server 30 is used for providing background data support for sharing media information in a media information sharing process in cooperation with the user terminal 10 so as to realize different functions in a media information sharing application of the terminal, for example, aggregating all media files corresponding to the interest points; and recommending corresponding media files and the like in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user.
Based on the usage environment of the media file recommendation method shown in fig. 1, a media file server implementing the embodiments of the present disclosure is first described, and the media file server may be provided as hardware, software, or a combination of hardware and software. Various exemplary implementations of the server provided by the embodiments of the present disclosure are described below.
The implementation of the server in a combination of hardware and software is explained below. Specifically, a hardware structure of a server implementing the embodiment of the present disclosure will now be described with reference to the drawings, and referring to fig. 2, fig. 2 is a schematic diagram of an alternative hardware structure of a server 200 provided by the embodiment of the present disclosure.
The server 200 in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as a mobile phone, a notebook computer, a Digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet computer (PAD), a Portable Media Player (PMP), a car terminal (e.g., car navigation terminal), and the like, and various types of electronic devices with a server function such as a Digital Television (TV), a desktop computer, and the like. The server 200 shown in fig. 2 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 2, the server 200 may include a processing device (e.g., a central processing unit, a graphics processor, etc.) 201, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 202 or a program loaded from a storage device 208 into a Random Access Memory (RAM) 203. In the RAM203, various programs and data necessary for the operation of the server 200 are also stored. The processing device 201, the ROM 202, and the RAM203 are connected to each other via a bus 204. An input/output (I/O) interface 205 is also connected to bus 204.
Generally, the following devices may be connected to the I/O interface 205: input devices 206 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 207 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 208 including, for example, magnetic tape, hard disk, etc.; and a communication device 209. The communication means 209 may allow the server 200 to perform wireless or wired communication with other devices to exchange data. While fig. 2 illustrates a server 200 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 209, or installed from the storage means 208, or installed from the ROM 202. The computer program, when executed by the processing device 201, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a RAM, a ROM, an Erasable Programmable Read-Only Memory (EPROM), an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the server; or may exist separately and not be assembled into the server.
The computer readable medium carries one or more programs which, when executed by the server, cause the server to: acquiring geographical position information corresponding to an interest point in media file data; determining media files of different data sources corresponding to the interest points based on the obtained geographic position information; aggregating all media files corresponding to the interest points; and recommending corresponding media files in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present disclosure may be implemented by software or hardware. Wherein the name of a module in some cases does not constitute a limitation on the module itself.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
As an example of a hardware implementation or a software implementation of the media file server, the media file server may be provided as a series of modules coupled at a signal/information/data level, as will be described below in conjunction with fig. 3. Referring to fig. 3, fig. 3 is a schematic diagram of an optional component structure of the media file server provided in the embodiment of the present disclosure, which illustrates a series of modules included in implementing the media file server, but the module structure of the media file server is not limited to that shown in fig. 3, for example, the modules therein may be further split or combined according to different functions implemented.
The following describes a pure hardware implementation of the apparatus, which may be various types of media file servers for running applications, and fig. 3 is an alternative functional structure diagram of the media file recommendation apparatus provided in the embodiment of the present disclosure; as shown in fig. 3, the media file recommending apparatus includes: an information acquisition module 301 and an information processing module 302. The functions of the respective modules are explained in detail below.
The information obtaining module 301 is configured to obtain geographic location information corresponding to the interest point in the media file data.
In one embodiment of the present disclosure, the geographical location information in the media file data may be represented as latitude and longitude information.
An information processing module 302, configured to determine, based on the obtained geographic location information, media files of different data sources corresponding to the interest point.
The information processing module 302 is configured to aggregate all media files corresponding to the interest points.
The information processing module 302 is configured to recommend, to a target user, corresponding media files in all media files corresponding to the interest point based on historical behavior data of the target user.
In an embodiment of the present disclosure, the information processing module 302 is configured to filter, in a corresponding map database, an interest point corresponding to the geographic location information according to a mapping relationship between a preset interest point database and the map database; the information processing module 302 is configured to screen media files of different data sources corresponding to the interest points in a media file database. Alternatively, the corresponding points of interest may be queried from an access map server. The data provider of the map database is a third-party organization, and may also be a service provider of a media file client, so that, by the technical scheme shown in this embodiment, the mapping relationship between the point-of-interest database and the map database can be established in advance; and screening the interest points corresponding to the geographic position information to improve the speed of screening the recommended interest points.
In an embodiment of the present disclosure, the information processing module 302 is configured to obtain media files belonging to different data sources of the point of interest; the information processing module 302 is configured to sort all the media files corresponding to the aggregated interest points according to the collected times corresponding to the acquired media files of different data sources; the information processing module 302 is configured to use the media file with the most collected times as the first to-be-recommended media file in all the media files corresponding to the aggregated interest point. According to the technical scheme of the embodiment, when media files of different data sources exist under the interest point, the media file with the most collected times is used as the first to-be-recommended media file in all the media files corresponding to the aggregated interest point, so that the corresponding media file can be quickly recommended to a target user, and long-time waiting of the user is avoided.
In an embodiment of the present disclosure, the information processing module 302 is configured to obtain historical operation data corresponding to the client; the information processing module 302 is configured to determine video screening parameters based on the historical operation data; the information processing module 302 is configured to filter corresponding media files based on the video filtering parameters; the information processing module 302 is configured to control a preset display area in the detail page of the point of interest to present the media file based on the screened media file. Specifically, according to the technical scheme shown in this embodiment, different users at different media file clients have different usage habits, and different users may have taken different videos at the same point of interest, so based on the historical operation data, video screening parameters are determined, and a media file closest to the usage habit of a target user is screened by the screening parameters, the screened media file is the media file most conforming to the usage habit of the target user, and the target user can quickly view the media file conforming to the usage habit of the target user in the process of viewing the point of interest, thereby avoiding the defect that the recommended media file is not suitable for the target user and the target user further browses and adjusts.
In an embodiment of the present disclosure, the information processing module 302 is configured to control a display manner of the point of interest in the media file based on historical behavior data of a target user.
In an embodiment of the present disclosure, the information processing module 302 is configured to control to load an icon control of the point of interest according to historical behavior data of the target user; the information processing module 302 is configured to control loading of the information control of the interest point, so as to implement a corresponding display mode. By the technical scheme shown in the embodiment, the media file recommendation device can control the loading time and the loading mode of the icon control of the corresponding interest point in the media file loading page, so that the defect that the user watching experience is influenced due to the loading of the icon control of the interest point in the process of watching the media file by the user is avoided.
In an embodiment of the present disclosure, the information processing module 302 is configured to control an arrangement order of the detailed information of the points of interest in the media file according to the type information of the client and/or the historical behavior data of the target user. Since the media file client is capable of adapting to different operating systems in the actual use process, when recommending to-be-selected points of interest to users of different operating systems, the filtered points of interest from the first type map database to be recommended may be sorted according to the adaptation type information of the client, for example, when pushing detailed information of the points of interest to a user of an IOS operating system, the media file recommending apparatus may sort the structured information of the points of interest, for example: and further, when recommending corresponding interest points to users of the android operating system, the media file recommending device can filter the relevant interest points with higher average consumption so as to recommend the corresponding interest points which accord with the behavior habits of the users to the users of the media file client.
In an embodiment of the present disclosure, the information processing module 302 is configured to control an arrangement order of the detailed information of the points of interest in the media file according to the type information of the client and the historical behavior data of the target user. Because different media file client users have different preferences for the contents of browsed media files, according to the technical scheme shown in this embodiment, by using the historical behavior data of the target user, the media file recommendation device can learn the preferences of the user for the contents of the media files, for example, some users prefer the media files of landscape contents, some users prefer the media files of shopping contents, some users prefer the media files of gourmet contents, by combining the type information of the client, the media file recommendation device can recommend corresponding media files in all the media files corresponding to the interest points to the target user, and the video contents of the recommended corresponding media files better conform to the browsing preferences of the user.
In an embodiment of the present disclosure, the information processing module 302 is configured to control the media file client to associate the media file with the point of interest set in the following manner: the information processing module 302 adds the interest point set to a corresponding media file, for example, fills the interest point set in a certain set package field of the media file; or, the interest point set is separated from the media file, that is, the interest point set and the media file are mutually independent data, but the mutually independent data carries the association relationship between the two.
Further, the recommendation condition may be a point score condition in a city recommendation policy, specifically, when a media file is newly generated, the point score of the interest point corresponding to the media file is correspondingly increased by 1, the queried interest points in the same geographic grid are screened in this way, one or more interest points with the highest point score in the city are screened as the interest points meeting the recommendation condition, and the screened one or more interest points with the highest point score in the city are combined into an interest point set.
In one embodiment of the present disclosure, during the process of playing a media file, a media file client may aggregate points of interest with a location area, such as a city, as a dimension, and these aggregated points of interest constitute a point of interest set. The set of points of interest is automatically set by the media file recommender when the media file is published to the media file recommender; specifically, the set of points of interest may be points of interest set in a published media file by the media file recommender when the publisher of the media file publishes all or part of the media file.
It should be noted that the media file recommending device may control the result of the hot ranking of the part of the media files published by the publisher of the media files, and select the media files meeting the hot ranking condition, or may be the media files belonging to the same type as the currently viewed media files. The media files meeting the hot ranking condition may be one or more media files with the highest hot ranking selected from all the published media files by the media file recommending device based on the hot ranking result.
Fig. 4 is a schematic view of an optional flow of a media file recommendation method provided in the embodiment of the present disclosure, and as shown in fig. 4, an optional flow of the media file recommendation method provided in the embodiment of the present disclosure includes the following steps:
step 401: and acquiring the geographical position information corresponding to the interest points in the media file data.
In one embodiment of the present disclosure, the geographical location information in the media file data may be represented as latitude and longitude information.
Step 402: and determining different data source media files corresponding to the geographical position information based on the acquired geographical position information.
In one embodiment of the present disclosure, the determining media files of different data sources corresponding to the interest point based on the obtained geographic location information includes:
screening interest points corresponding to the geographic position information in a corresponding map database according to a preset mapping relation between an interest point database and the map database; and screening the media files of different data sources corresponding to the interest points in a media file database. Alternatively, the corresponding points of interest may be queried from an access map server. The data provider of the map database is a third-party organization, and may also be a service provider of a media file client, so that, by the technical scheme shown in this embodiment, the mapping relationship between the point-of-interest database and the map database can be established in advance; and screening the interest points corresponding to the geographic position information to improve the speed of screening the recommended interest points.
Step 403: and aggregating all the media files corresponding to the interest points.
In one embodiment of the present disclosure, the aggregating all media files corresponding to the interest point includes:
acquiring media files of different data sources belonging to the interest points; sorting all the media files corresponding to the aggregated interest points according to the collected times corresponding to the acquired media files of different data sources; and taking the media file with the most collection times as the first to-be-recommended media file in all the media files corresponding to the aggregated interest points. According to the technical scheme of the embodiment, when media files of different data sources exist under the interest point, the media file with the most collected times is used as the first to-be-recommended media file in all the media files corresponding to the aggregated interest point, so that the corresponding media file can be quickly recommended to a target user, and long-time waiting of the user is avoided.
Step 404: and recommending corresponding media files in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user.
In an embodiment of the present disclosure, the recommending, based on the historical behavior data of the target user, a corresponding media file in all media files corresponding to the interest point includes:
acquiring historical operation data corresponding to the client; determining video screening parameters based on the historical operating data; screening corresponding media files based on the video screening parameters; and controlling a preset display area in the detail page of the interest point to present the media file based on the screened media file. Specifically, according to the technical scheme shown in this embodiment, different users at different media file clients have different usage habits, and different users may have taken different videos at the same point of interest, so based on the historical operation data, video screening parameters are determined, and a media file closest to the usage habit of a target user is screened by the screening parameters, the screened media file is the media file most conforming to the usage habit of the target user, and the target user can quickly view the media file conforming to the usage habit of the target user in the process of viewing the point of interest, thereby avoiding the defect that the recommended media file is not suitable for the target user and the target user further browses and adjusts.
In one embodiment of the disclosure, the display mode of the interest point in the media file is controlled based on the historical behavior data of the target user. By the technical scheme shown in this embodiment, the media file server can control the loading time and the loading mode of the icon control of the corresponding interest point in the media file loading page, so as to avoid the defect that the user viewing experience is affected due to the loading of the icon control of the interest point in the process of viewing the media file.
In one embodiment of the present disclosure, the method further comprises:
and controlling the arrangement sequence of the detailed information of the interest points in the media files according to the type information of the client or the historical behavior data of the target user. Because the media file client can adapt to different operating systems in the actual use process, when recommending to-be-selected interest points to users of different operating systems, the filtered interest points from the first type map database to be recommended may be sorted according to the adaptation type information of the client, for example, when pushing detailed information of the interest points to users of an IOS operating system, the media file server may sort the structured information of the interest points, for example: and further, when recommending corresponding interest points to users of the android operating system, the media file server can filter the relevant interest points with higher average consumption so as to recommend the corresponding interest points which accord with the behavior habits of the users to the users of the media file client.
In one embodiment of the present disclosure, the method further comprises:
and controlling the arrangement sequence of the detailed information of the interest points in the media files according to the type information of the client and the historical behavior data of the target user. Because different media file client users have different preferences for the contents of browsed media files, according to the technical scheme shown in this embodiment, by using the historical behavior data of the target user, the media file server can learn the preferences of the user for the contents of the media files, for example, some users prefer the media files of landscape contents, some users prefer the media files of shopping contents, some users prefer the media files of gourmet contents, by combining the type information of the client, the media file server can recommend corresponding media files in all the media files corresponding to the interest point to the target user, and the video contents of the recommended corresponding media files more conform to the browsing preferences of the user.
In one embodiment of the present disclosure, the media file server may control the media file client to associate the media file with the set of points of interest in the following manner: adding the interest point set into the media file, for example, filling the interest point set into a certain set packaging field of the media file; or, the interest point set is separated from the media file, that is, the interest point set and the media file are mutually independent data, but the mutually independent data carries the association relationship between the two.
The recommendation condition may be a point score condition in a city recommendation policy, specifically, when a media file is newly generated, the point score of the point of interest corresponding to the media file is added by 1, in this way, the queried point of interest in the same geographic grid is screened, one or more points of interest with the highest point score in the city are screened as the point of interest meeting the recommendation condition, and the screened one or more points of interest with the highest point score in the city are combined into a point of interest set.
It should be noted that, part of the media files published by the publisher of the media files may be media files that meet the hot ranking condition according to the hot ranking result of all published media files, or may be media files that belong to the same type as the currently viewed media files. The media files meeting the hot ranking condition may be one or more media files with the highest hot ranking selected from all the issued media files based on the hot ranking result.
The query of the interest point set can further filter the interest points based on other factors besides the geographic grid serving as the basic query condition, for example, the media file server can determine the interest points according with the user preference according to the user identification information and by combining the portrait data of the user, and combine all the interest points according with the user preference into the interest point set; the interest points according with the user preferences may be interest points associated with media files/media file types preferred by the user in a past period of time, or may be interest points associated with media files/media file types preferred by other users in the same friend relationship chain with the user in a past period of time, which is not limited herein.
Fig. 5 is a schematic view of an optional flow of a media file recommendation method provided in the embodiment of the present disclosure, and as shown in fig. 5, an optional flow of the media file recommendation method provided in the embodiment of the present disclosure, which takes a short video as an example, includes the following steps:
step 501: and acquiring the geographical position information corresponding to the interest points in the short video data.
Step 502: and screening the interest points corresponding to the geographic position information in the corresponding map database according to the mapping relation between a preset interest point database and the map database.
Step 503: and screening short videos of different data sources corresponding to the interest points in a short video database.
Step 504: aggregating all short videos corresponding to the interest points.
Step 505: and controlling the arrangement sequence of the detailed information of the interest points in the short video according to the type information of the short video client and/or the historical behavior data of the target user.
Step 506: and recommending corresponding short videos in all the short videos corresponding to the interest points to the target user based on the historical behavior data of the target user.
Fig. 6 is a schematic usage diagram of a method for determining detailed information of a point of interest provided in an embodiment of the present disclosure, as shown in fig. 6, playing "media information" 3 in a playing page 2 of a media information application of a mobile phone 1 (i.e., a terminal), displaying a dining-type point of interest in a blank area of the playing page 2, and when a control of the point of interest is triggered, the media information server controls the playing page 2 to jump to a detailed page 6 of the dining-type point of interest, that is, a detailed page of the point of interest of "XX happy city", so as to display the detailed information of the point of interest. At this time, the server may obtain the core information of the interest points in the media information attribute information, that is, the core information of "XX happy city" through information interaction with the media information client, determine the detailed information of the interest points based on the core information of the interest points, and aggregate the determined detailed information of the interest points; and pushing the aggregated detailed information of the interest points to a client. Here, the server controls the media information client to display the detailed information content of the interest point on the detail page of the corresponding interest point, which may be various, for example, representing the location of the interest point, i.e., a positioning map; the relevant recommended videos of the point of interest "XX happy city", and the structured information characterizing the detailed information corresponding to the type of the point of interest, such as at least one of address, phone, distance, business hours, leaderboard, per-person consumption, etc., and the disclosed embodiments are not limited.
In the usage diagram of the media file recommendation method shown in fig. 5, since there may be media files shot by different users in recommended points of interest, the media file server obtains a complete media file of the point of interest by aggregating all media files belonging to the point of interest of the same point of interest, for example, which video information is recommended may be selected. For example: recommended video a is from user number 1, recommended video B is from user number 2, and recommended video C is from user number 3. Further, the video a of the user from No. 1 ranked first may be the media file most collected or complied with, and at the same time, may also be the media file filtered by the media file server for the target user according to the video filtering parameters.
It should be noted that, in the embodiment of the present disclosure, the display of the point of interest detail page may also be different from the type of the point of interest, and different related videos corresponding to the type of the point of interest are displayed on different point of interest detail pages.
In an embodiment of the present disclosure, the implementation manner of the media file server controlling the presentation of the detailed information of the point of interest may include:
aiming at the structured information, the media file server acquires the distance between the real-time position information and the interest point from the interest point data; determining the degree of detail adapted to the distance; structured information is presented in a detail page that conforms to the level of detail of the point of interest. Inquiring at least one media file of the interest point type corresponding to the interest point aiming at the related video of the interest point, wherein the release position of the inquired media file and the interest point are in the same geographical grid; controlling to present the media files meeting the recommendation conditions in the inquired media files; wherein the query may request the query from the server. Aiming at a positioning map of an interest point, acquiring the distance between a real-time position and the interest point; and presenting the positioning map of the interest point in the detail page according to a display scale matched with the distance, wherein the display scale can be a display scale and can also be a display radius, and the embodiment of the disclosure is not limited.
It should be noted that, in the embodiment of the present disclosure, the media file server may obtain the real-time location of the client, and may obtain the real-time location by positioning, or may be implemented by invoking a positioning application of a third party, or positioning the real-time location of the client by using an auxiliary means (IP address), which is not limited in the embodiment of the present disclosure.
In the embodiment of the present disclosure, for the structured information of the point of interest, the media file server may further switch from presenting the detail page of the point of interest to presenting a third-party application interface associated with the report of the point of interest on the detail page of the point of interest based on the structured information of the point of interest.
That is, when the point of interest detail page associated with the point of interest is presented, the media file server may control the structured information of the point of interest displayed on the point of interest detail page, for example, an application program (such as a shopping store, a lodging hotel, etc.) directed to the third-party service entity, and may perform a page jump, that is, switch from presenting the point of interest detail page to presenting the third-party application interface associated with the point of interest, so that a function of entering the third-party service entity may be implemented by clicking the third-party application interface, and thus the user may browse various information provided by the third-party service entity.
In this disclosure, for a video related to a point of interest, the media file server may query a media file of at least one point of interest type corresponding to the point of interest, and when a publishing location of the queried media file is located in the same geographic grid as the point of interest, the media file server controls the client to present a media file meeting a recommendation condition in the queried media file, where the recommendation condition may be located in the same geographic grid as the point of interest, and the type of the point of interest is not limited, and may also include the same type as the point of interest and be located in the same geographic grid.
That is, a media file (e.g., a different video or the like corresponding to the same interest point, i.e., a recommendation) selected from other published media files belonging to the same geographic grid and of the same type as the interest point may be presented on the detail page of the interest point, and a media file (i.e., a recommendation location) selected from other published media files belonging to the same geographic grid and of the same type as the interest point may also be presented, which is not limited by the embodiment of the present disclosure.
Here, the recommendation condition in the embodiment of the present disclosure is implemented based on a recommendation algorithm of the media file server, where the recommendation algorithm may be sorting media files in a descending order according to the number of videos distributed at the interest points, and selecting a certain number of media files corresponding to the interest points sorted before. For example, the recommendation condition may be a point score condition in a city recommendation policy, specifically, when a media file is newly generated, the point score of the point of interest corresponding to the media file is correspondingly increased by 1, in this way, the queried point of interest in the same geographic grid is screened, one or more points of interest with the highest point score in the city are screened as the point of interest meeting the recommendation condition, and the screened one or more points of interest with the highest point score in the city are determined as the related videos of the point of interest.
Fig. 7A-7B are schematic diagrams illustrating an optional use process of the media file recommendation method according to the embodiment of the present disclosure, and as shown in the drawings, the media file server can mark the detailed information of the target user according to client information carried by the point of interest data in the media files of different data sources, so as to control an arrangement order of the detailed information of the point of interest in the media files according to type information of the client and/or historical behavior data of the target user. Specifically, under the condition that the terminal positioning capability of users in areas (e.g., city complexes, shopping malls) with high interest point density is insufficient, when the detailed information of the interest points is pushed to the users of the IOS operating system, the media file server may rank the structured information in the complete detailed information of the interest points, rank the related interest points with high average person consumption at the top of the interest points to be recommended, as shown in fig. 7A, and rank the "B brand western restaurants" with high average person consumption in the detailed information of the interest points at the top of the interest points to be pushed when the detailed information of the corresponding food interest points is recommended to the users of the IOS operating system; further, as shown in fig. 7B, when recommending corresponding detailed information of points of interest to a user of the android operating system, the media file server may sort the structured information of the points of interest, filter related points of interest with higher consumption among people in the detailed information of points of interest, and rank "snack with brand C" at the top, so as to recommend detailed information of corresponding points of interest that conforms to the behavior habits of the user to the user of the media file client, and avoid pushing wrong detailed information of points of interest due to insufficient positioning capability.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as methods, systems, or computer program products. Accordingly, embodiments of the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the disclosed embodiments may take the form of a computer program product embodied on one or more computer-usable storage media (including magnetic disk storage, optical storage, and so forth) having computer-usable program code embodied therein.
Embodiments of the present disclosure are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. 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 operations. These computer programs 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 operations performed by the processor of the computer or other programmable data processing apparatus produce means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program operations 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 operations stored in the computer-readable memory produce an article of manufacture including operating means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program operations 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 operations executed 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.
The above description is only exemplary of the present disclosure and should not be taken as limiting the scope of the present disclosure, which is intended to cover any variations, modifications, equivalents, and improvements included within the spirit and scope of the present disclosure.
Claims (16)
1. A media file recommendation method, which is applied to a media file server, is characterized in that the method comprises the following steps:
acquiring geographical position information corresponding to an interest point in media file data;
determining media files of different data sources corresponding to the interest points based on the obtained geographic position information;
aggregating all media files corresponding to the interest points;
and recommending corresponding media files in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user.
2. The method of claim 1, wherein determining media files of different data sources corresponding to the interest point based on the obtained geographic location information comprises:
screening interest points corresponding to the geographic position information in a corresponding map database according to a preset mapping relation between an interest point database and the map database;
and screening the media files of different data sources corresponding to the interest points in a media file database.
3. The method of claim 1, wherein the aggregating all media files corresponding to the point of interest comprises:
acquiring media files of different data sources belonging to the interest points;
sorting all the media files corresponding to the aggregated interest points according to the collected times corresponding to the acquired media files of different data sources;
and taking the media file with the most collection times as the first to-be-recommended media file in all the media files corresponding to the aggregated interest points.
4. The method of claim 1, wherein recommending the corresponding media file from all the media files corresponding to the interest point based on the historical behavior data of the target user comprises:
acquiring historical operation data corresponding to a target user of a media file client;
determining video screening parameters based on the historical operating data;
screening corresponding media files based on the video screening parameters;
and controlling a preset display area in the detail page of the interest point to present the media file based on the screened media file.
5. The method of claim 1, further comprising:
and controlling the display mode of the interest points in the media files based on the historical behavior data of the target user.
6. The method of claim 5, wherein the controlling the manner in which the points of interest are displayed in the media file based on historical behavior data of the target user comprises:
controlling to load the icon control of the interest point according to the historical behavior data of the target user, and,
and controlling the information control for loading the interest points to realize a corresponding display mode.
7. The method of claim 1, further comprising:
and controlling the arrangement sequence of the detailed information of the interest points in the media files according to the type information of the media file client and/or the historical behavior data of the target user.
8. An apparatus for recommending media files, said apparatus comprising:
the information acquisition module is used for acquiring the geographical position information corresponding to the interest points in the media file data;
the information processing module is used for determining media files of different data sources corresponding to the interest points based on the acquired geographic position information;
the information processing module is used for aggregating all media files corresponding to the interest points;
and the information processing module is used for recommending corresponding media files in all the media files corresponding to the interest points to the target user based on the historical behavior data of the target user.
9. The apparatus of claim 8,
the information processing module is used for screening the interest points corresponding to the geographic position information in the corresponding map database according to the mapping relation between a preset interest point database and the map database;
and the information processing module is used for screening the media files of different data sources corresponding to the interest points in a media file database.
10. The apparatus of claim 8,
the information processing module is used for acquiring media files of different data sources belonging to the interest points;
the information processing module is used for sequencing all the media files corresponding to the aggregated interest points according to the collected times corresponding to the media files of different data sources;
and the information processing module is used for taking the media file with the most collection times as the first to-be-recommended media file in all the media files corresponding to the aggregated interest points.
11. The apparatus of claim 8,
the information processing module is used for acquiring historical operation data corresponding to a target user of the media file client;
the information processing module is used for determining video screening parameters based on the historical operation data;
the information processing module is used for screening corresponding media files based on the video screening parameters;
and the information processing module is used for controlling a preset display area in the detail page of the interest point to present the media file based on the screened media file.
12. The apparatus of claim 8,
and the information processing module is used for controlling the display mode of the interest points in the media files based on the historical behavior data of the target user.
13. The apparatus of claim 12,
the information processing module is used for controlling the icon control for loading the interest point according to the historical behavior data of the target user;
and the information processing module is used for controlling and loading the information control of the interest point so as to realize a corresponding display mode.
14. The apparatus of claim 8,
and the information processing module is used for controlling the arrangement sequence of the detailed information of the interest points in the media files according to the type information of the client and/or the historical behavior data of the target user.
15. A media file server, comprising:
a memory for storing executable instructions;
a processor, configured to execute the executable instructions to implement the media file recommendation method of any of claims 1 to 7.
16. A storage medium having stored thereon executable instructions for, when executed, implementing a media file recommendation method as claimed in any one of claims 1 to 7.
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