CN106649316B - Video pushing method and device - Google Patents
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- CN106649316B CN106649316B CN201510718359.7A CN201510718359A CN106649316B CN 106649316 B CN106649316 B CN 106649316B CN 201510718359 A CN201510718359 A CN 201510718359A CN 106649316 B CN106649316 B CN 106649316B
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- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The invention discloses a video pushing method and device, relates to the technical field of videos, and aims to enable recommended videos to be relatively accurate by counting user behavior characteristics and presuming the types of favorite videos of a user through historical access records of a user browser. The main technical scheme of the invention is as follows: marking websites in the internet according to different contents, enabling each website to obtain a corresponding label, and storing websites and labels of the websites in a database; acquiring a historical website accessed by a user; generating an interest tag list which is interested by a user according to the historical access website, the website of the website stored in the database and the tags; and recommending videos with the same label to the user according to the interest label list, wherein the videos are marked according to different contents when being collected, each collected video is provided with at least one label, and the marked label is selected from labels marked by websites. The method is mainly used in the process of accurately recommending the video.
Description
Technical Field
The invention relates to the technical field of videos, in particular to a video pushing method and device.
Background
The network video refers to a sound and image file which is provided by a network video service provider, takes streaming media as a playing format and can be live broadcast or on demand. The video website is used for enabling internet users to smoothly publish, browse and share video works on line under the support of a perfect technical platform. At present, in order to improve the click rate of video playing of video websites, some websites actively push some videos to a video playing client so as to guide a client user to click the playing video.
At present, in order to further improve the click rate of recommended videos, some video websites store the viewing history of the user at the website, presume the category of favorite videos of the user according to the viewing history, and recommend other videos at the website to the user according to the category of the favorite videos. The video recommendation method improves the video click rate to a certain extent. However, for a user who uses the video website less frequently, the available historical records are less, and the user preference result is analyzed according to the watching records of the user on the video website to recommend the video, so that the recommended video is possibly inaccurate, and the pushing is meaningless.
Disclosure of Invention
In view of this, embodiments of the present invention provide a video pushing method and apparatus, which can count user behavior characteristics through a historical access record of a user browser, and infer a type of a favorite video of a user, so that a recommended video is relatively more accurate.
In order to achieve the above object, the present invention provides the following technical solutions:
in one aspect, the present invention provides a video pushing method, including:
marking websites in the Internet according to different contents, enabling each website to obtain a corresponding label, and storing the website address of the website and the label in a database;
acquiring a historical website accessed by a user;
generating an interest tag list which is interested by a user according to the historical access website, the website of the website stored in a database and the tag;
and recommending videos with the same label to the user according to the interest label list, wherein the videos are marked according to different contents when being collected, each collected video is provided with at least one label, and the marked labels are selected from labels marked on websites.
In another aspect, the present invention further provides a video pushing apparatus, including:
the system comprises a marking unit, a label unit and a label unit, wherein the marking unit is used for marking websites in the Internet according to different contents so that each website acquires a corresponding label;
the storage unit is used for storing the website address of the website and the label in a database;
the acquisition unit is used for acquiring the historical access website of the user;
the generating unit is used for generating an interest tag list which is interested by a user according to the historical access website, the website of the website stored in a database and the tag;
and the recommending unit is used for recommending videos with the same label to a user according to the interest label list, wherein the videos are marked according to different contents when being recorded, each recorded video is provided with at least one label, and the marked label is selected from labels marked on websites.
When video recommendation is carried out, websites in the internet are classified and marked according to website contents, and recorded videos are marked with labels already used by the websites according to the contents played by the videos; when recommending related videos to a user, obtaining interests and hobbies of the user based on historical website access of the user, and after obtaining behavior and hobbies, determining a tag list which is interested by the user based on association relations between tags and the user and between the videos and the website; and finally recommending videos with the same label to the user according to the interest label list. Compared with the prior art, the method can count the behavior characteristics of the user through the historical access record of the user browser, infer the type of the favorite video of the user, and recommend the video to the user according to the type of the favorite video of the user, so that the recommended video is relatively more accurate.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 shows a flow chart of a video push method in an embodiment of the invention;
FIG. 2 is a flowchart illustrating a method for generating a list of interest tags of a user according to the historical website addresses, the websites of the websites stored in the database, and the tags in an embodiment of the present invention;
FIG. 3 is a block diagram of a video recommendation apparatus according to an embodiment of the present invention;
FIG. 4 is a block diagram of another video recommender in accordance with an embodiment of the present invention;
FIG. 5 is a block diagram of another video recommender in accordance with an embodiment of the present invention;
FIG. 6 is a block diagram of another video recommender in accordance with an embodiment of the present invention;
fig. 7 is a block diagram showing another video recommendation apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
An embodiment of the present invention provides a video pushing method, as shown in fig. 1, the method includes:
101. the method comprises the steps of marking websites in the internet according to different contents, enabling each website to obtain a corresponding label, and storing the website address of the website and the label in a database.
The websites in the internet are marked according to different contents, so that each website obtains a corresponding label, and the label can be one or multiple, and is specifically determined according to the website contents. For example, the tag may be, but is not limited to, a financial, cultural, entertainment, sports, scientific, gaming, military, digital, etc. tag.
The website in the internet may be marked according to different contents by, but not limited to, a crawler technology and a natural language processing technology, which is not limited by the specific embodiment of the present invention, and other methods that can be implemented may also be used. Wherein, the crawler technology: a program or script automatically captures web page information according to certain rules. And (3) natural language processing: the page information is processed through natural language, specifically, the text of an article is extracted, then the text is analyzed by using a dictionary, the article is divided into sentences, the sentences are divided into words, and the content, the emotional value (positive, negative and neutral) and the like of each word can be judged. When a web site in the internet is marked according to different contents using a crawler technology and a natural language processing technology, a method including:
1. and acquiring the website in the Internet based on the crawler technology.
2. Analyzing the theme and characteristics of the website through natural language processing technology.
3. And marking the website according to the difference of the theme and the characteristic content.
It should be noted that, in order to facilitate subsequent operations, a tag corresponding to a website is used, and after the tag is allocated to the website, the website address of the website and the tag are stored in the database.
102. And acquiring historical website access of the user.
The historical website addresses accessed by the user are generally stored in a historical browsing log of the user. The method comprises the steps of obtaining a historical access record of a user, and generally obtaining a historical browsing record log of the user. At present, there are many methods for acquiring the historical browsing records of the user, and any one of the prior art may be used. For example, the application, i.e., the probe program, is extended by installing a browser of a website at a user terminal. The probe program acquires historical browsing records of the user regularly and sends the historical browsing records to the corresponding server. The implementation of the probe program can adopt, but is not limited to, a method of calling a callback function of a chrome browser programming interface to count URLs. After the historical browsing record log is obtained, analyzing the historical browsing record log to obtain a historical access website of the user.
103. And generating an interest tag list in which the user is interested according to the historical access website, the website of the website stored in the database and the tags.
104. And recommending videos with the same label to the user according to the interest label list, wherein the videos are marked according to different contents when being collected, each collected video is provided with at least one label, and the marked labels are selected from labels marked on websites.
Wherein, a video with the same tag is recommended to the user according to the interest tag list, and the video may be a video that the user has not seen or a video that the user has seen, which is not limited in this specific embodiment of the present invention. The same meaning here means that, as long as one of the tags of the video to be recommended is the same as one of the tags in the interest tag list of the user, the interest tag list of the user is considered to have the same tag as the video to be recommended.
In the embodiment of the invention, when video recommendation is carried out, websites in the internet are classified and marked according to website contents, and recorded videos are marked with labels already used by the websites according to the contents played by the videos; when recommending related videos to a user, obtaining interests and hobbies of the user based on historical website access of the user, and after obtaining behavior and hobbies, determining a tag list which is interested by the user based on association relations between tags and the user and between the videos and the website; and finally recommending videos with the same label to the user according to the interest label list. Compared with the prior art, the method can count the behavior characteristics of the user through the historical access record of the user browser, infer the type of the favorite video of the user, and recommend the video to the user according to the type of the favorite video of the user, so that the recommended video is relatively more accurate.
Further, when the above 103 is executed to generate an interest tag list of the user according to the historical website addresses, the websites of the websites stored in the database, and the tags, the method may be implemented by, but is not limited to, the following method, as shown in fig. 2, including:
201. and comparing and matching the historical website addresses with the website addresses of the websites stored in a database.
202. And counting the types and the occurrence times of the labels corresponding to the matched historical access websites.
203. And sequencing the labels corresponding to the historical access websites according to the occurrence times.
When the tags corresponding to the historical visited websites are sorted according to the occurrence times, the tags corresponding to the historical visited websites may be sorted in a sequence from top to bottom of the occurrence times, or sorted from bottom to top of the occurrence times, which is not limited in the specific embodiment of the present invention.
204. And generating an interest tag list which is interested by the user by using the sorted tags.
In order to ensure the accuracy of the recommended video, generally, the content corresponding to the tag with a relatively large number of occurrences is selected as the content in which the user is interested, so after the sorting module sorts the tags corresponding to the historical visited websites according to the number of occurrences, the embodiment of the present invention further provides the following method, which includes:
taking out a preset number of labels from the sorted labels according to the sequence of the occurrence times from top to bottom; the generating of the interest tag list of the user interested by the sorted tags specifically includes: and generating an interest tag list which is interested by the user by using the tags at the selected positions.
It should be noted that, in the process of performing video recommendation according to the embodiment of the present invention, a recommended video is also marked according to video playing content, and the method may be specifically implemented by, but is not limited to, the following method, where the method includes: acquiring the playing content of a video during video recording; and selecting at least one label related to the playing content from the labels marked by the website to mark the included video.
In the embodiment of the invention, when video recommendation is carried out, the user preference is analyzed and videos which are possibly interested by the user are pushed by analyzing the website characteristics accessed by the user, so that the effect of accurate pushing can be achieved, and the user experience is improved.
Based on the foregoing method embodiment, an embodiment of the present invention further provides a video pushing apparatus, where the apparatus may be a video server, and as shown in fig. 3, the apparatus includes:
the website marking unit 31 is configured to mark websites in the internet according to different contents, so that each website acquires a corresponding tag. The website marking unit 31 marks websites in the internet according to different contents, so that each website acquires a corresponding label, which may be one or multiple labels, and is specifically determined according to the website contents. For example, the tag may be, but is not limited to, a financial, cultural, entertainment, sports, scientific, gaming, military, digital, etc. tag. The labeling of web sites in the internet according to different contents can employ, but is not limited to, a crawler technology and a natural language processing technology. When the web sites in the internet are marked according to different contents by using the crawler technology and the natural language processing technology, the following method may be used, which includes: acquiring a website in the internet based on a crawler technology; analyzing the theme and characteristics of the website through a natural language processing technology; and marking the website according to the difference of the theme and the characteristic content.
A storage unit 32, configured to store the website address of the website and the tag in a database.
A website acquisition unit 33, configured to acquire a historical website accessed by the user. The historical website addresses accessed by the user are generally stored in a historical browsing log of the user. The method comprises the steps of obtaining a historical access record of a user, and generally obtaining a historical browsing record log of the user. At present, there are many methods for acquiring the historical browsing records of the user, and any one of the prior art may be used. For example, the application, i.e., the probe program, is extended by installing a browser of a website at a user terminal. The probe program acquires historical browsing records of the user regularly and sends the historical browsing records to the corresponding server.
A generating unit 34, configured to generate an interest tag list that is interested by the user according to the historical website addresses, the websites of the websites stored in the database, and the tags.
A recommending unit 35, configured to recommend videos with the same tag to a user according to the interest tag list, where the videos have been tagged according to different contents when being included, each included video has at least one tag, and the tagged tag is selected from tags tagged by a website.
Further, as shown in fig. 4, the website acquisition unit 33 includes:
the first obtaining module 331 is configured to obtain a historical browsing record log of the user.
A second obtaining module 332, configured to analyze the historical browsing record log, and obtain a historical website accessed by the user.
Further, as shown in fig. 5, the generating unit 34 includes:
a comparing module 341, configured to compare and match the historical website addresses accessed with the website addresses of the websites stored in the database.
The counting module 342 is configured to count the types and the occurrence times of the tags corresponding to the matched historical visited websites.
And the sorting module 343 is configured to sort the tags corresponding to the historical visited websites in a descending order of the occurrence times.
A generating module 344, configured to generate an interest tag list, which is interested by the user, from the sorted tags.
In order to ensure the accuracy of the recommended video, after generally selecting the content corresponding to the tag with a relatively large number of occurrences as the content interested by the user, as shown in fig. 6, the generating unit 34 further includes:
a selecting module 345, configured to, after the sorting module sorts the tags corresponding to the historical visited websites in the order from top to bottom according to the occurrence times, take out a predetermined number of tags from the sorted tags in the order from top to bottom according to the occurrence times;
the generating module 344 is further configured to generate an interest tag list of interest to the user from the tags in the selection.
It should be noted that, in the process of performing video recommendation according to the embodiment of the present invention, a recommended video is also marked according to video playing content, and specifically, as shown in fig. 7, the apparatus further includes:
a video recording unit 36, configured to acquire playing content of a video during video recording;
and a video marking unit 37, configured to select at least one tag related to the broadcast content from the tags marked by the website to mark the included video.
In the embodiment of the invention, when video recommendation is carried out, websites in the internet are classified and marked according to website contents, and recorded videos are marked with labels already used by the websites according to the contents played by the videos; when recommending related videos to a user, obtaining interests and hobbies of the user based on historical website access of the user, and after obtaining behavior and hobbies, determining a tag list which is interested by the user based on association relations between tags and the user and between the videos and the website; and finally recommending videos with the same label to the user according to the interest label list. Compared with the prior art, the method can count the behavior characteristics of the user through the historical access record of the user browser, infer the type of the favorite video of the user, and recommend the video to the user according to the type of the favorite video of the user, so that the recommended video is relatively more accurate.
The video pushing device comprises a processor and a memory, wherein the marking unit, the storage unit, the acquisition unit, the generation unit, the recommendation unit, the video recording unit, the video marking unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the kernel parameters are adjusted to count the behavior characteristics of the user through the historical access record of the user browser, so that the type of the favorite video of the user is presumed, and the recommended video is relatively accurate.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The present application further provides a computer program product adapted to perform program code for initializing the following method steps when executed on a data processing device: marking websites in the Internet according to different contents, enabling each website to obtain a corresponding label, and storing the website address of the website and the label in a database; acquiring a historical website accessed by a user; generating an interest tag list which is interested by a user according to the historical access website, the website of the website stored in a database and the tag; and recommending videos with the same label to the user according to the interest label list, wherein the videos are marked according to different contents when being collected, each collected video is provided with at least one label, and the marked labels are selected from labels marked on websites.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A video push method, comprising:
marking websites in the internet according to different contents, so that each website acquires a corresponding label, and storing the website of the website and the label in a database, wherein each website at least acquires one corresponding label, the label is a content label determined according to the website contents, and the content label comprises finance, culture, entertainment, sports, science and technology, games, military affairs and numbers;
acquiring a historical website accessed by a user;
generating an interest tag list which is interested by a user according to the historical access website, the website of the website stored in a database and the tag;
recommending videos with the same label to a user according to the interest label list, wherein the videos are marked according to different contents when being recorded, each recorded video is provided with at least one label, and the marked label is selected from labels marked on websites;
wherein the generating of the interest tag list of interest of the user according to the historical website addresses, the websites of the websites stored in the database and the tags comprises:
comparing and matching the historical access websites with websites of the websites stored in a database;
counting the types and the occurrence times of the labels corresponding to the matched historical access websites;
sequencing the labels corresponding to the historical website addresses according to the occurrence times;
and generating an interest tag list which is interested by the user by using the sorted tags.
2. The method of claim 1, wherein obtaining historical website addresses visited by the user comprises:
acquiring a historical browsing record log of a user;
and analyzing the historical browsing record log to acquire the historical access website of the user.
3. The method of claim 2, wherein after sorting the tags corresponding to the historical visited websites in order of the number of occurrences from top to bottom, the method further comprises:
taking out a preset number of labels from the sorted labels according to the sequence of the occurrence times from top to bottom;
the generating of the interest tag list of the user interested by the sorted tags specifically includes:
and generating an interest tag list which is interested by the user by using the tags at the selected positions.
4. The method of any one of claims 1-3, wherein tagging websites in the Internet according to different content comprises
Acquiring a website in the internet based on a crawler technology;
analyzing the theme and characteristics of the website through a natural language processing technology;
and marking the website according to the difference of the theme and the characteristic content.
5. The method of claim 4, further comprising:
acquiring the playing content of a video during video recording;
and selecting at least one label related to the playing content from the labels marked by the website to mark the included video.
6. A video push apparatus, comprising:
the website marking unit is used for marking websites in the Internet according to different contents so that each website obtains a corresponding label, each website at least obtains one corresponding label, the label is a content label determined according to the website contents, and the content label comprises finance, culture, entertainment, sports, science and technology, games, military affairs and numbers;
the storage unit is used for storing the website address of the website and the label in a database;
the website acquisition unit is used for acquiring historical access websites of the user;
the generating unit is used for generating an interest tag list which is interested by a user according to the historical access website, the website of the website stored in a database and the tag;
a recommending unit, configured to recommend videos with the same tag to a user according to the interest tag list, where the videos have been tagged according to different contents when being included, each included video has at least one tag, and the tagged tag is selected from tags tagged by a website;
wherein the generating unit includes:
the comparison module is used for comparing and matching the historical access websites with the websites of the websites stored in the database;
the statistical module is used for counting the types and the occurrence times of the labels corresponding to the matched historical access websites;
the sequencing module is used for sequencing the labels corresponding to the historical access websites according to the sequence of the occurrence times from top to bottom;
and the generating module is used for generating an interest tag list which is interested by the user from the sorted tags.
7. The apparatus of claim 6, wherein the website acquisition unit comprises:
the first acquisition module is used for acquiring a historical browsing record log of a user;
and the second acquisition module is used for analyzing the historical browsing record log and acquiring the historical access website of the user.
8. The apparatus of claim 7, wherein the generating unit further comprises:
the selection module is used for taking out a preset number of labels from the sorted labels according to the sequence of the occurrence times from top to bottom after the labels corresponding to the historical access websites are sorted according to the occurrence times by the sorting module;
the generating module is further used for generating an interest tag list which is interested by the user from the tags at the selected positions.
9. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, a device where the storage medium is located is controlled to execute the video push method according to any one of claims 1 to 5.
10. A processor, characterized in that the processor is configured to execute a program, wherein the program executes the video push method according to any one of claim 1 to claim 5.
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| CN201510718359.7A CN106649316B (en) | 2015-10-29 | 2015-10-29 | Video pushing method and device |
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