CN106713985B - Method and device for recommending network video - Google Patents

Method and device for recommending network video Download PDF

Info

Publication number
CN106713985B
CN106713985B CN201611227498.0A CN201611227498A CN106713985B CN 106713985 B CN106713985 B CN 106713985B CN 201611227498 A CN201611227498 A CN 201611227498A CN 106713985 B CN106713985 B CN 106713985B
Authority
CN
China
Prior art keywords
target
network video
type label
conforming
song list
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201611227498.0A
Other languages
Chinese (zh)
Other versions
CN106713985A (en
Inventor
李叶论
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Kugou Computer Technology Co Ltd
Original Assignee
Guangzhou Kugou Computer Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Kugou Computer Technology Co Ltd filed Critical Guangzhou Kugou Computer Technology Co Ltd
Priority to CN201611227498.0A priority Critical patent/CN106713985B/en
Publication of CN106713985A publication Critical patent/CN106713985A/en
Application granted granted Critical
Publication of CN106713985B publication Critical patent/CN106713985B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/251Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • H04N21/25891Management of end-user data being end-user preferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/262Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
    • H04N21/26258Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4667Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/482End-user interface for program selection
    • H04N21/4826End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score

Abstract

The invention discloses a method and a device for recommending network videos, and belongs to the technical field of computers. The method comprises the following steps: the method comprises the steps of obtaining a song list of a target account, determining a target type label of the song list, obtaining a target network video conforming to the target type label, and sending video information of the target network video to a terminal logged in by the target account. By adopting the method and the device, the flexibility of recommending the network video can be improved.

Description

Method and device for recommending network video
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for recommending network videos.
Background
With the rapid development of computer technology and network technology, network videos are widely popularized, the content of the network videos is more and more rich, and more users like to watch the network videos in spare time.
The user can play the network video through the multimedia playing application, the server of the multimedia playing application can record all the network videos watched by the user, and then the type of the network video favored by the user is judged according to the network videos, so that the network video of the relevant type can be recommended to the user.
In the process of implementing the invention, the inventor finds that the prior art has at least the following problems:
the server can judge the type of the network video favored by the user according to the watching record of the user only by watching a large amount of network videos, and then recommend the network videos to the user, so that the flexibility of recommending the network videos is poor.
Disclosure of Invention
In order to solve the problems in the prior art, embodiments of the present invention provide a method and an apparatus for recommending a network video. The technical scheme is as follows:
in a first aspect, a method for recommending a network video is provided, where the method includes:
acquiring a song list of a target account, and determining a target type label of the song list;
acquiring a target network video conforming to the target type label;
and sending the video information of the target network video to the terminal logged in by the target account.
Optionally, the determining a target type tag of the song list includes:
and determining a target type label of the song list according to the type labels of all songs in the song list.
Optionally, the obtaining of the target network video conforming to the target type tag includes:
and for each target type label, acquiring a target network video conforming to each target type label.
Optionally, after the target network video conforming to the target type tag is obtained, the method further includes:
and correspondingly storing the target type label and the target network video.
Optionally, the method further includes:
and if the matching degree of the type label of the song list of the first account and the target type label is larger than a preset threshold value, sending the video information of the network video in the network video list of the first account to the terminal logged in by the target account.
In a second aspect, an apparatus for recommending network videos is provided, the apparatus comprising:
the determining module is used for acquiring a song list of a target account and determining a target type label of the song list;
the acquisition module is used for acquiring a target network video conforming to the target type label;
and the sending module is used for sending the video information of the target network video to the terminal logged in by the target account.
Optionally, the determining module is configured to:
and determining a target type label of the song list according to the type labels of all songs in the song list.
Optionally, the obtaining module is configured to:
and for each target type label, acquiring a target network video conforming to each target type label.
Optionally, the apparatus further comprises:
and the storage module is used for correspondingly storing the target type label and the target network video after the target network video conforming to the target type label is obtained.
Optionally, the sending module is further configured to:
and if the matching degree of the type label of the song list of the first account and the target type label is larger than a preset threshold value, sending the video information of the network video in the network video list of the first account to the terminal logged in by the target account.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the song list of the target account is obtained, the target type label of the song list is determined, the target network video conforming to the target type label is obtained, and the video information of the target network video is sent to the terminal logged in by the target account. Therefore, even if the user does not watch a large amount of network videos, the server can judge the favorite style of the user according to the songs listened or collected by the user, so that the network videos are recommended to the user, and the flexibility of recommending the network videos can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for recommending network videos according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a recommended network video according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for recommending network videos according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus for recommending network videos according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The embodiment of the invention provides a method for recommending network videos. The server may be a server providing a network video recommendation function. The server may be provided with a processor, a memory, and a transceiver, wherein the processor may be configured to process a process of recommending network videos, the memory may be configured to store data required and generated in the following process, and the transceiver may be configured to receive related data sent by a terminal, and may also be configured to send related data to the terminal. In this embodiment, the server is taken as a background server of the multimedia playing application installed on the terminal, and the terminal is taken as a mobile phone, for example, to perform detailed description of the scheme, and other situations are similar to the above, and will not be described in detail in this embodiment.
The process flow shown in fig. 1 will be described in detail below with reference to specific embodiments, and the contents may be as follows:
step 101, acquiring a song list of a target account, and determining a target type tag of the song list.
In implementation, a user may install a multimedia play application for playing multimedia data on a terminal, where the multimedia data may include songs and network videos, and the terminal may generate a song list or a network video list corresponding to a user account (i.e., a target account), where songs or network videos played or collected by the user may be recorded in the song list or the network video list. The server of the multimedia playing application may recommend the network video according to the song list item of the user, specifically, the server may first obtain the song list of the target account, and then determine the type tag of the song list (i.e., the target type tag).
Optionally, the type tag of the song list may be determined according to the type tags of all songs in the song list, and accordingly, the processing of step 101 may be as follows: and determining a target type label of the song list according to the type labels of all the songs in the song list.
In implementation, each song in the song list has a type tag added thereto by the server, and after the server acquires the song list of the target account, the server may acquire the type tags of all songs therein, and then determine the target type tag of the song list. Specifically, when the song list includes a plurality of songs, the server may summarize the genre tags of all the songs, calculate the number of times that each genre tag appears in all the songs in the song list, and then use a preset number of genre tags with the largest number of times as the target genre tag of the song list. If the maximum number of times is less than a preset number threshold, the server may randomly select a preset number of type tags among all the type tags as target type tags of the song list. It will be appreciated that there may be multiple type tags per song and that all type tags for all songs in the song list need to be considered in the calculation process. Further, the server may consider the weight of each song according to the playing times and the latest playing time when calculating the number of times each type of tag appears, for example, the higher the playing times and the closer the latest playing time are, the greater the weight is, and similarly, if the user marks a certain song as a favorite song, the greater the weight of the song is. In addition, the user may set a type tag for the song list itself, or designate a type tag of a certain song as the type tag of the song list.
And 102, acquiring a target network video conforming to the target type label.
In implementation, after determining the target type tag of the song list, the server may obtain the target network video conforming to the target type tag. Specifically, a large number of network videos can be stored in the network video library on the server side, and when each network video is stored, a technician sets a corresponding type tag for the network video, so that the server can directly acquire a target network video conforming to the target type tag from the local network video library. Or the server may obtain the target network video conforming to the target type tag from a network video library provided by the partner, or the server may crawl on the network according to the target type tag to obtain the target network video conforming to the target type tag.
Optionally, when there are a plurality of type tags in the song list, the network video corresponding to each type tag may be acquired, and correspondingly, the processing in step 102 may be as follows: and for each target type label, acquiring a target network video conforming to each target type label.
In implementation, after determining a plurality of target type tags of a song list, the server may obtain, for each target type tag, a target network video conforming to the target type tag. For example, the target type tags of the song list are "cartoon", "hot love" and "science fiction", and the server may acquire a network video conforming to the type tag "cartoon", then acquire a network video conforming to the type tag "hot love", then acquire a network video conforming to the type tag "science fiction", and finally summarize the acquired network videos, and select a preset number of network videos as the target network videos. When the network videos are obtained, the network videos which accord with the type labels can be sequenced according to the scores of the network videos, and then the preset number of network videos with the highest scores are selected as the target network videos. It should be noted that, when selecting a target network video, a network video that simultaneously conforms to a plurality of target type tags may be preferentially selected, for example, the selection priority of a network video that simultaneously conforms to three target type tags, namely, "animation," hot love, "and" science fiction, "is greater than the selection priority of a network video that simultaneously conforms to two target type tags, namely," animation "and" hot love. Further, the ratio of the network video numbers meeting the target type labels in the preset number of target network videos can be determined according to the ratio of the number of songs meeting the target type labels in the song list, for example, for three target type labels of "cartoon", "hot love" and "science fiction", the ratio of the corresponding number of songs in the song list is 1: 2: 3, if 12 target network videos need to be selected, 2 network videos conforming to the cartoon, 4 network videos conforming to the hot love and 6 network videos conforming to the science fiction can be selected respectively.
Optionally, after obtaining the target network video conforming to the target type tag, the server may store the target network video and the target type tag correspondingly.
In implementation, if the server obtains the target network video conforming to the target type tag from the network video library provided by the partner, or the server may crawl on the network according to the target type tag to obtain the target network video conforming to the target type tag, the target network video and the target type tag may be correspondingly stored in the local network video library after the target network video and the target type tag are obtained. Therefore, when the server needs to acquire the network video conforming to the target type label again, the server can directly acquire the corresponding network video from the local network video library and then send the video information of the network video to the terminal. It should be noted that, a technician at the server side may periodically update the local network video library, for example, every monday, obtain the latest network video of the last week, then set a type tag for each network video, and store the type tag and the network video in the network video library correspondingly.
And 103, sending video information of the target network video to the terminal logged in by the target account.
In implementation, after the server acquires the target network video conforming to the target type tag, the server may send video information of the target network video to a terminal where a target account logs in, that is, recommend the target network video to the user. After receiving the video information of the target network video, the terminal can display the video information in a message notification mode. Or when the user opens the network video recommendation page of the multimedia playing application, the terminal can send a video information acquisition request to the server, and then the server can be triggered to send the video information of the target network video to the terminal, so that the terminal can display the video information in the network video recommendation page.
Optionally, the server may also recommend the network video to the user according to the network video watched by the other user, and the corresponding processing may be as follows: and if the matching degree of the type label of the song list of the first account and the target type label is larger than a preset threshold value, sending the video information of the network video in the network video list of the first account to the terminal logged in by the target account.
In implementation, the server may obtain the song list of the user account, determine the type tag of the song list, store the type tag and the user account correspondingly, and simultaneously, obtain the network video list of the user account. In this way, after the server determines the target type tag of the song list of the target account, the first account corresponding to the song list of which the matching degree of the type tag and the target type tag of the song list is greater than the preset threshold value can be determined in the corresponding relation between the stored type tag of the song list and the user account, so that the interest points of the user of the first account and the user of the target account are considered to be close, namely the types of favorite network videos are close, and therefore the server can acquire the network video list of the first account and then send the video information of the network videos in the network video list to the terminal for logging in the target account.
It is worth mentioning that the scheme discloses a scheme that the server recommends the network videos according to the song lists of the users, and based on the technical inspiration of the scheme, the server can also recommend the songs to the users according to the network video lists of the users, and the detailed description is not repeated here.
Fig. 2 shows a schematic diagram of a possible recommended network video.
In the embodiment of the invention, the song list of the target account is obtained, the target type label of the song list is determined, the target network video conforming to the target type label is obtained, and the video information of the target network video is sent to the terminal logged in by the target account. Therefore, even if the user does not watch a large amount of network videos, the server can judge the favorite style of the user according to the songs listened or collected by the user, so that the network videos are recommended to the user, and the flexibility of recommending the network videos can be improved.
Based on the same technical concept, an embodiment of the present invention further provides an apparatus for recommending a network video, as shown in fig. 3, the apparatus includes:
a determining module 301, configured to obtain a song list of a target account, and determine a target type tag of the song list;
an obtaining module 302, configured to obtain a target network video that meets the target type tag;
a sending module 303, configured to send video information of the target network video to a terminal logged in by the target account.
Optionally, the determining module 301 is configured to:
and determining a target type label of the song list according to the type labels of all songs in the song list.
Optionally, the obtaining module 302 is configured to:
and for each target type label, acquiring a target network video conforming to each target type label.
Optionally, as shown in fig. 4, the apparatus further includes:
a storage module 304, configured to, after obtaining the target network video that meets the target type tag, correspondingly store the target type tag and the target network video.
Optionally, the sending module 303 is further configured to:
and if the matching degree of the type label of the song list of the first account and the target type label is larger than a preset threshold value, sending the video information of the network video in the network video list of the first account to the terminal logged in by the target account.
In the embodiment of the invention, the song list of the target account is obtained, the target type label of the song list is determined, the target network video conforming to the target type label is obtained, and the video information of the target network video is sent to the terminal logged in by the target account. Therefore, even if the user does not watch a large amount of network videos, the server can judge the favorite style of the user according to the songs listened or collected by the user, so that the network videos are recommended to the user, and the flexibility of recommending the network videos can be improved.
It should be noted that: in the device for recommending network videos provided in the above embodiment, when recommending network videos, only the division of the above functional modules is used as an example, in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the above described functions. In addition, the apparatus for recommending network videos and the method embodiment for recommending network videos provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment and are not described herein again.
Fig. 5 is a schematic structural diagram of a server according to an embodiment of the present invention. The server 1900, which may vary widely in configuration or performance, may include one or more Central Processing Units (CPUs) 1922 (e.g., one or more processors) and memory 1932, one or more storage media 1930 (e.g., one or more mass storage devices) storing applications 1942 or data 1944. Memory 1932 and storage medium 1930 can be, among other things, transient or persistent storage. The program stored in the storage medium 1930 may include one or more modules (not shown), each of which may include a series of instructions operating on a server. Still further, a central processor 1922 may be provided in communication with the storage medium 1930 to execute a series of instruction operations in the storage medium 1930 on the server 1900.
The server 1900 may also include one or more power supplies 1926, one or more wired or wireless network interfaces 1950, one or more input/output interfaces 1958, one or more keyboards 1956, and/or one or more operating systems 1941, such as Windows server, Mac OS XTM, UnixTM, &lttttranslation = L "&tttl &/t &gttinuxtm, FreeBSDTM, and so forth.
Server 1900 may include memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors include instructions for:
acquiring a song list of a target account, and determining a target type label of the song list;
acquiring a target network video conforming to the target type label;
and sending the video information of the target network video to the terminal logged in by the target account.
Optionally, the determining a target type tag of the song list includes:
and determining a target type label of the song list according to the type labels of all songs in the song list.
Optionally, the obtaining of the target network video conforming to the target type tag includes:
and for each target type label, acquiring a target network video conforming to each target type label.
Optionally, after the target network video conforming to the target type tag is obtained, the method further includes:
and correspondingly storing the target type label and the target network video.
Optionally, the method further includes:
and if the matching degree of the type label of the song list of the first account and the target type label is larger than a preset threshold value, sending the video information of the network video in the network video list of the first account to the terminal logged in by the target account.
In the embodiment of the invention, the song list of the target account is obtained, the target type label of the song list is determined, the target network video conforming to the target type label is obtained, and the video information of the target network video is sent to the terminal logged in by the target account. Therefore, even if the user does not watch a large amount of network videos, the server can judge the favorite style of the user according to the songs listened or collected by the user, so that the network videos are recommended to the user, and the flexibility of recommending the network videos can be improved.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (8)

1. A method for recommending network videos, the method comprising:
acquiring a song list of a target account, and determining a target type label of the song list;
acquiring a target network video conforming to the target type label;
sending video information of the target network video to a terminal logged in by the target account,
wherein, the terminal is provided with a multimedia playing application for playing multimedia data, the multimedia data comprises songs and network videos,
the acquiring of the target network video conforming to the target type label includes:
for each target type label, acquiring a target network video conforming to each target type label,
the acquiring the target network video conforming to each target type label comprises the following steps: determining the proportion of the network video frequency conforming to each target type label in the preset number of target network videos according to the proportion of the number of songs conforming to each target type label in the song list,
the acquiring of the target network video conforming to the target type tag further includes:
and preferentially selecting the network video simultaneously conforming to the labels of the plurality of target types.
2. The method of claim 1, wherein determining the target type tag for the song list comprises:
and determining a target type label of the song list according to the type labels of all songs in the song list.
3. The method of claim 1, wherein after obtaining the target network video conforming to the target type tag, further comprising:
and correspondingly storing the target type label and the target network video.
4. The method of claim 1, further comprising:
and if the matching degree of the type label of the song list of the first account and the target type label is larger than a preset threshold value, sending the video information of the network video in the network video list of the first account to the terminal logged in by the target account.
5. An apparatus for recommending network video, the apparatus comprising:
the determining module is used for acquiring a song list of a target account and determining a target type label of the song list;
the acquisition module is used for acquiring a target network video conforming to the target type label;
a sending module, configured to send video information of the target network video to a terminal logged in by the target account,
wherein, the terminal is provided with a multimedia playing application for playing multimedia data, the multimedia data comprises songs and network videos,
the obtaining module is configured to:
for each target type label, acquiring a target network video conforming to each target type label,
the acquiring the target network video conforming to each target type label comprises the following steps: determining the proportion of the network video frequency conforming to each target type label in the preset number of target network videos according to the proportion of the number of songs conforming to each target type label in the song list,
the obtaining module is further configured to:
and preferentially selecting the network video simultaneously conforming to the labels of the plurality of target types.
6. The apparatus of claim 5, wherein the determining module is configured to:
and determining a target type label of the song list according to the type labels of all songs in the song list.
7. The apparatus of claim 5, further comprising:
and the storage module is used for correspondingly storing the target type label and the target network video after the target network video conforming to the target type label is obtained.
8. The apparatus of claim 5, wherein the sending module is further configured to:
and if the matching degree of the type label of the song list of the first account and the target type label is larger than a preset threshold value, sending the video information of the network video in the network video list of the first account to the terminal logged in by the target account.
CN201611227498.0A 2016-12-27 2016-12-27 Method and device for recommending network video Active CN106713985B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611227498.0A CN106713985B (en) 2016-12-27 2016-12-27 Method and device for recommending network video

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611227498.0A CN106713985B (en) 2016-12-27 2016-12-27 Method and device for recommending network video

Publications (2)

Publication Number Publication Date
CN106713985A CN106713985A (en) 2017-05-24
CN106713985B true CN106713985B (en) 2020-07-24

Family

ID=58895455

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611227498.0A Active CN106713985B (en) 2016-12-27 2016-12-27 Method and device for recommending network video

Country Status (1)

Country Link
CN (1) CN106713985B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107360468B (en) * 2017-06-29 2019-09-03 上海蒙彤文化传播有限公司 A kind of video push system and method
CN109640125B (en) * 2018-12-21 2021-04-27 广州酷狗计算机科技有限公司 Video content processing method, device, server and storage medium
CN109600643A (en) * 2018-12-21 2019-04-09 广州酷狗计算机科技有限公司 Video providing method, playback method, device and storage medium
CN110248236B (en) * 2019-07-02 2022-02-18 广州酷狗计算机科技有限公司 Video playing method, device, terminal and storage medium
CN111818367A (en) * 2020-08-07 2020-10-23 广州酷狗计算机科技有限公司 Audio file playing method, device, terminal, server and storage medium
CN111935516B (en) * 2020-08-21 2022-10-18 广州酷狗计算机科技有限公司 Audio file playing method, device, terminal, server and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103631823A (en) * 2012-08-28 2014-03-12 腾讯科技(深圳)有限公司 Method and device for recommending media content
CN104661095A (en) * 2015-02-28 2015-05-27 深圳市中兴移动通信有限公司 Audio and video data recommendation method and system
CN106131684A (en) * 2016-06-24 2016-11-16 依偎科技(南昌)有限公司 A kind of content recommendation method and terminal

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140280241A1 (en) * 2013-03-15 2014-09-18 MediaGraph, LLC Methods and Systems to Organize Media Items According to Similarity

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103631823A (en) * 2012-08-28 2014-03-12 腾讯科技(深圳)有限公司 Method and device for recommending media content
CN104661095A (en) * 2015-02-28 2015-05-27 深圳市中兴移动通信有限公司 Audio and video data recommendation method and system
CN106131684A (en) * 2016-06-24 2016-11-16 依偎科技(南昌)有限公司 A kind of content recommendation method and terminal

Also Published As

Publication number Publication date
CN106713985A (en) 2017-05-24

Similar Documents

Publication Publication Date Title
CN106713985B (en) Method and device for recommending network video
WO2023051102A1 (en) Video recommendation method, apparatus, and device, and medium
US20150178282A1 (en) Fast and dynamic targeting of users with engaging content
US11310066B2 (en) Method and apparatus for pushing information
US10261999B2 (en) Searching multimedia based on trigger events
US9794211B2 (en) Event-based comment grouping for content items
US20130246562A1 (en) Systems and methods for managing content
CN111277847B (en) Method, device, server and system for displaying chat messages in live broadcast
US10430476B2 (en) Annotation of videos using aggregated user session data
CN110913135A (en) Video shooting method and device, electronic equipment and storage medium
US10638176B2 (en) Channel preference scoring for users based on channel watching and browsing behavior
US9299331B1 (en) Techniques for selecting musical content for playback
CN109862100B (en) Method and device for pushing information
CN111680254A (en) Content recommendation method and device
CN110674345A (en) Video searching method and device and server
WO2023151589A1 (en) Video display method and apparatus, electronic device and storage medium
US20170272793A1 (en) Media content recommendation method and device
CN103763303A (en) Method and device for drama series playing
CN110225407A (en) The acquisition methods and device and computer readable storage medium of a kind of played data
CN104853251A (en) Online collection method and device for multimedia data
CN111949807A (en) Data processing method, data processing device, computer equipment and storage medium
CN103702218A (en) Video playing method and device
US20140196100A1 (en) Electronic device for providing media recommendations and a method therein
CN110351581B (en) Data request processing method and device, terminal equipment and storage medium
CN111552831A (en) Music recommendation method and server

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 510660 Guangzhou City, Guangzhou, Guangdong, Whampoa Avenue, No. 315, self - made 1-17

Applicant after: Guangzhou KuGou Networks Co., Ltd.

Address before: 510000 B1, building, No. 16, rhyme Road, Guangzhou, Guangdong, China 13F

Applicant before: Guangzhou KuGou Networks Co., Ltd.

CB02 Change of applicant information
GR01 Patent grant
GR01 Patent grant