CN116108262A - Live broadcast information recommendation method and device, electronic equipment and storage medium - Google Patents

Live broadcast information recommendation method and device, electronic equipment and storage medium Download PDF

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Publication number
CN116108262A
CN116108262A CN202211435979.6A CN202211435979A CN116108262A CN 116108262 A CN116108262 A CN 116108262A CN 202211435979 A CN202211435979 A CN 202211435979A CN 116108262 A CN116108262 A CN 116108262A
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China
Prior art keywords
user
recommended content
recommended
content
preset
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CN202211435979.6A
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Chinese (zh)
Inventor
周云龙
王翔
姜惠惠
周玉侠
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Shanghai Shijiu Information Technology Co ltd
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Shanghai Shijiu Information Technology Co ltd
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Priority to CN202211435979.6A priority Critical patent/CN116108262A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7844—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using original textual content or text extracted from visual content or transcript of audio data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
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    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • H—ELECTRICITY
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    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/21—Server components or server architectures
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    • H04N21/2187—Live feed
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management 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
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
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    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data
    • H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
    • H—ELECTRICITY
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    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management 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
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies

Abstract

The application provides a live information recommendation method, a device, electronic equipment and a storage medium, which are applied to user equipment and are used for responding to a first click operation of a user on live video on a user equipment interface to display the live video; recognizing the voice of the anchor in the live video by using a dynamic time warping algorithm to obtain text information corresponding to the voice; matching recommended content corresponding to the text information from a preset recommended library, wherein the recommended content comprises one or more content link types in videos, music, delicacies, scenic spots and sports; and displaying the recommended content to the user through a user equipment interface. By adopting the method, when the user watches live broadcast, the nouns or the events mentioned by the anchor are recommended, so that the time spent by the user for inquiring is reduced, and the inquiring efficiency is improved.

Description

Live broadcast information recommendation method and device, electronic equipment and storage medium
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a live broadcast information recommendation method, apparatus, electronic device, and storage medium.
Background
Today, with the rapid development of the internet, many professions, such as the live broadcast industry, are emerging. In the live broadcast industry, various types of anchor broadcast are classified, such as live broadcast recommending goods to users, live broadcast teaching, live broadcast cooking and the like; the user relieves the working pressure and adjusts the state of the individual by watching the favorite anchor.
During the live viewing process, the user may be interested in the noun or thing mentioned by the anchor and may wish to learn about the noun or thing. When a user is interested in a noun mentioned by the anchor, the user is not aware for other reasons. After the live broadcast is finished, the noun spoken by the host is heard by playing back the live broadcast, so that the noun is further known. Because the live content is longer, when the user wants to find the nouns to be known, the user needs to spend a longer time, and the query efficiency is lower.
Accordingly, there is a need for a live information recommendation method, apparatus, electronic device, and storage medium that can solve the above-mentioned technical problems.
Disclosure of Invention
Aiming at the defects in the related art, the application provides a live broadcast information recommending method, a device, electronic equipment and a storage medium.
The first aspect of the present application provides a live broadcast information recommendation method, which is applied to user equipment, and the method includes: responding to a first click operation of a user on a live video on a user equipment interface, and displaying the live video; identifying the voice of the anchor in the live video by using a dynamic time warping algorithm to obtain text information corresponding to the voice; matching recommended content corresponding to the text information from a preset recommendation library, wherein the recommended content comprises one or more content link types in videos, music, delicacies, scenic spots and sports; and displaying the recommended content to the user through the user equipment interface.
By adopting the technical scheme, in the process of watching live broadcast by a user, according to nouns or events mentioned by a live broadcast host, the language of the live broadcast is identified by utilizing a dynamic time warping algorithm, and the identification accuracy is high; matching the identified text information with a preset recommendation library, and displaying the content corresponding to the text information to a user according to a matching result; the method is convenient for the user to know the word or the event mentioned by the anchor, and the user does not need to search the word or the event later, so that the inquiry time of the user is saved.
The second aspect of the present application provides a live broadcast information recommendation device, where the device is a server, and the server includes a receiving unit, a judging unit and a display unit; the receiving unit is used for responding to a first click operation of a user on the live video on the interface of user equipment and displaying the live video; the judging unit is used for identifying the voice of the anchor in the live video by utilizing a dynamic time warping algorithm to obtain text information corresponding to the voice; matching recommended content corresponding to the text information from a preset recommendation library, wherein the recommended content comprises one or more content link types in videos, music, delicacies, scenic spots and sports; and the display unit displays the recommended content to the user through the user equipment interface.
By adopting the technical scheme, in the process of watching live broadcast by a user, according to nouns or events mentioned by a live broadcast host, the language of the live broadcast is identified by utilizing a dynamic time warping algorithm, and the identification accuracy is high; matching the identified text information with a preset recommendation library, and displaying the content corresponding to the text information to a user according to a matching result; the method is convenient for the user to know the word or the event mentioned by the anchor, and the user does not need to search the word or the event later, so that the inquiry time of the user is saved.
Optionally, the judging unit further includes a first recommending subunit, where the first recommending subunit obtains the positioning identifier of the user equipment; and matching the recommended content corresponding to the text information from the preset recommended library in a preset positioning range of the positioning identifier.
By adopting the technical scheme, when the anchor mentions a noun, the recommended content can recommend the user to locate nearby according to the locating information of the user, so that the user can select conveniently, and the interest and hobbies of the user are further expanded.
Optionally, the judging unit further includes a second recommending subunit, where the second recommending subunit obtains hot spot information of the live broadcast platform; matching the recommended content corresponding to the text information from the preset recommended library; and matching the recommended content corresponding to the hot spot information from the recommended content corresponding to the text information.
By adopting the technical scheme, according to the words mentioned by the anchor, the hot spot information of each big website is combined when the words are recommended to the user, the recommended content corresponding to the hot spot information is matched, and the user can know the current hot spot information in time.
Optionally, the judging unit further includes a displaying subunit, displaying the text information, where the text information includes a plurality of texts, and the plurality of texts includes a first text; responding to a second click operation of the user on the first text; and matching the recommended content corresponding to the first text from the preset recommended library, and displaying the recommended content to the user through the user equipment interface.
By adopting the technical scheme, when a user watches live broadcast, the user can select a word to be known by himself when interested in one word mentioned by the anchor, and the content corresponding to the word is recommended according to the selection of the user; and the recommendation is performed based on the requirements of the user, so that the recommendation content is more accurate.
Optionally, the judging unit further includes a first cancelling subunit, and if the user equipment does not receive the second click operation of the user within the first time preset, the recommended content is cancelled to be displayed.
By adopting the technical scheme, the recommended content has time limitation, and when the user does not actively select the word mentioned by live broadcast in the preset time, the user is defaulted to be not interested in the recommended content, and the recommended content is cancelled.
Optionally, in a second preset time, the judging unit judges whether the user equipment receives a third click operation of the user; the third click operation is a click operation of the user on the recommended content; and when the user equipment does not receive the third click operation of the user, canceling the display of the recommended content.
By adopting the technical scheme, according to words mentioned by the anchor, matching is carried out with a preset recommendation library, and recommended content is automatically displayed after matching; when the user does not click on the recommended content within the preset time, defaulting that the user is not interested in the recommended content, and canceling the recommended content.
Optionally, the receiving unit responds to a preset operation of the user, wherein the preset operation is used for representing a first content link type operation selected by the user in advance, and the first content link type comprises one or more content link types of video, music, food, scenic spots and sports; the judging unit matches a second content link type corresponding to the first content link type from the recommended content, wherein the first content link type and the second content link type are the same content link type; the display unit displays the second content link type to the user through the user equipment interface.
By adopting the technical scheme, before watching live broadcast, according to the type of interest selected by the user, when recommending to the user, whether the recommended content belongs to the type of interest is judged; when the user is not in the interest type, the recommended content is not displayed to the user, and the user interests are combined to conduct recommendation.
A third aspect of the present application provides an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating to other devices, the processor being configured to execute the instructions stored in the memory, such that an electronic device performs a method according to any one of the first aspects of the present application.
A fourth aspect of the present application provides a computer readable storage medium having instructions stored thereon which, when executed, perform a method according to any one of the first aspects of the present application.
Compared with the related art, the beneficial effects of the application are as follows: in the live broadcast watching process of the user, according to nouns or events mentioned by the anchor, the identified nouns or events are matched with a preset recommendation library, and the positioning information of the user can be combined for matching; matching can also be performed by combining current hot spot information; displaying the recommended content to the user according to the matched and corresponding recommended content; based on the requirements of the user, the recommendation can be performed according to the selection of the user so that the recommended content is interested by the user; the inquiry time is saved, and the interests and hobbies of the user are further expanded.
Drawings
Fig. 1 is a flow chart of a live information recommendation method provided in an embodiment of the present application;
fig. 2 is a schematic scene diagram of a live information recommendation method according to an embodiment of the present application;
fig. 3 is a schematic view of a scenario of still another live information recommendation method according to an embodiment of the present application;
fig. 4 is a flowchart of another live information recommendation method according to an embodiment of the present application;
fig. 5 is a schematic view of a scenario of still another live information recommendation method according to an embodiment of the present application;
fig. 6 is a flowchart of still another live information recommendation method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a live information recommendation device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
In the description of embodiments of the present application, words such as "exemplary," "such as" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "illustrative," "such as" or "for example" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "illustratively," "such as" or "for example," etc., is intended to present related concepts in a concrete fashion.
Furthermore, the terms "first," "second," and the like in the description herein, are used for distinguishing between different objects and not for describing a particular sequence, and may be used for either explicitly or implicitly including one or more such features.
Currently, during the live viewing process, the user may be interested in the noun or thing mentioned by the host and may wish to learn about the noun or thing. When a user is interested in a noun mentioned by the anchor, the user is not aware for other reasons. After the live broadcast is finished, the noun spoken by the host is heard by playing back the live broadcast, so that the noun is further known. Because the live content is longer, when the user wants to find the nouns to be known, the user needs to spend a longer time, and the query efficiency is lower. How to recommend nouns or events mentioned by live broadcast to users according to the needs of the users is a problem to be solved at present.
The following is a detailed description of the solution of the present application. The embodiment of the application provides a live broadcast information recommendation method which is applied to user equipment. The application describes live broadcast as an example, and the user equipment is an intelligent television. Fig. 1 is a flow chart of a live information recommendation method provided in an embodiment of the present application; referring to fig. 1, the method includes the following steps S101-S104.
Step S101: and responding to a first click operation of the user on the live video on the interface of the user equipment, and displaying the live video.
In the above step, the first clicking operation refers to an operation that a user selects a favorite live video on a live platform before watching live broadcast by using an electronic device, and clicks to enter the live broadcast.
For example, after user a enters the live platform, from among various live types of the live platform; the user A selects a favorite anchor, the anchor is set as B, and the anchor B is currently live broadcasting; user A clicks into the live room of anchor B to view B's live.
Step S102: and recognizing the voice of the anchor in the live video by using a dynamic time warping algorithm to obtain text information corresponding to the voice.
In the above steps, in the speech recognition method, a dynamic time warping algorithm is used in many cases. The dynamic time warping algorithm is proposed to solve or try to solve the problem of incorrect recognition of isolated words in speech recognition. In the recognition stage, the feature vector time sequence of the input voice is sequentially compared with the similarity of each template in the template library, and finally the highest similarity is output as a recognition result. However, since the voice signal has a considerable randomness, even if the same person speaks the same sentence or the same sound at different times, it is impossible to have the same time length. While in template matching, these time-length variations affect the estimation of the measure, thereby reducing the recognition rate.
The dynamic time warping algorithm is used for recognizing continuous voices, automatically recognizing voices of a host in a live broadcast process, recognizing text information according to the voices, and is high in recognition accuracy. This is the first way of recommending content.
For example, during a live broadcast, the host C says "i am is eating a good dish today, is a chuanhedi dish". After the host C speaks the sentence, the dynamic time warping algorithm recognizes the voice of the sentence, and recognizes the sentence as text information.
Step S103: and matching recommended contents corresponding to the text information from a preset recommendation library, wherein the recommended contents comprise one or more content link types in videos, music, delicacies, scenic spots and sports.
In the step, the preset recommendation library stores some nouns or matters in advance; and collecting nouns of types such as videos, music, delicacies, scenic spots, sports and the like, and storing the nouns in a preset recommendation library.
For example, fig. 2 is a schematic view of a scenario of a live information recommendation method provided in the embodiment of the present application, as shown in fig. 2 (a), a user is watching a host H, and the host H is saying "i am now has a new dish called a pork rib stewed radish soup". The dynamic time warping algorithm recognizes the voice of the sentence, and displays the recognized voice on a user equipment interface, wherein the user is in need of a new dish called pork rib stewing radish soup today. Matching the pork rib stewing radish soup with a preset recommendation library to obtain a food type and a health preserving type; one is the method for stewing the pork rib and the other is the benefit of eating the pork rib and the radish soup, and the recommended content corresponding to the pork rib and the radish soup is displayed on a user interface in a card view mode, so that a user can conveniently select whether to view the recommended content. As shown in page (b) of fig. 2, when the user is interested in "benefit of eating the pork rib stewing radish soup", clicking on the recommended content of "benefit of eating the pork rib stewing radish soup" in the card view jumps to page (c) of fig. 2, showing the benefit of eating the pork rib stewing radish soup, what season the pork rib stewing radish soup is eaten, which people cannot eat the pork rib stewing radish soup, how the pork rib stewing radish soup is best, etc. After the user browses, the content of the page can be shared with friends or forwarded to a friend circle based on the self requirement of the user, and collection can be performed. In the live broadcast watching process, the user can pay attention to the main broadcast according to the self requirement, and can also indicate the like of the live broadcast type by clicking the live broadcast.
Therefore, the recommendation can be performed according to the positioning information of the user equipment, and the positioning identification of the user equipment can be obtained; and matching the recommended content corresponding to the text information from a preset recommended library in a preset positioning range of the positioning mark. The preset positioning range refers to within how many kilometers of the vicinity of the positioning mark.
Fig. 3 is a schematic view of a scenario of still another live information recommendation method according to an embodiment of the present application; as shown in fig. 3 (a), the location information of the user F is at a, and the location of the recommended content is at a preset location range at a, the preset location range being set to 3 km; the anchor A refers to roast ducks, and the roast ducks are identified to be matched with a preset recommendation library; and recommending the matched recommended content to the user F in a card view mode. The card view is recommended to be a Nanjing roast duck, tianjin roast duck, beijing roast duck and the like, and when the user F is interested in the Nanjing roast duck in the card view, clicking the Nanjing roast duck is performed to enter the page shown in the page (b) in fig. 3. Searching a store selling Nanjing roast ducks within 3 km at the user positioning information a based on the positioning information of the user F; the roast duck stores are ordered according to the current number of people, the distance from the roast duck stores to the user F is more than kilometers, the roast duck stores are displayed to the user F in a list form, and the user F can collect the stores according to the needs of the user F. The preset positioning range is mainly the actual situation, and is not limited herein. In the live broadcast watching process, the user can pay attention to the main broadcast according to the self requirement, and can also indicate the like of the live broadcast type by clicking the live broadcast.
According to clicking operation of a user (clicking operation of the user on the intelligent television by using a remote controller), jumping to a recommended content interface; the interface of the recommended content is shown in a card view mode in fig. 2, and after a user clicks the card view, the user enters the recommended interface of the card view; the user can select to collect, share and add the recommended content into the shopping cart according to the self requirements.
Further, the method can also recommend according to the hot spot information of the current website to acquire the hot spot information of the live broadcast platform; matching recommended content corresponding to the text information from a preset recommended library; and matching the recommended content corresponding to the hot spot information from the recommended content corresponding to the text information. The hotspot information refers to hotspot information of each big website, such as a certain degree, a certain sound, a certain blog, a certain song, and the like, and the hotspot ranking of each big website is obtained.
For example, on day 3 and 25, the hot spot information of the microblog is "Liu somewhere xxx", and the anchor L refers to "music" in the anchor process; after the information of music is identified, combining the music with the current hot spot information; the current hotspot information of "Liu somewhere xxx" plus "music" is matched in a preset recommendation library to match with Liu somewhere singed song of "good day". And recommending the song to the user as recommended content, so that the user can conveniently select whether to listen to the song.
Step S104: and displaying the recommended content to the user through a user equipment interface.
In the step, according to matching the content corresponding to the text information from a preset recommendation library, recommending the content to a user, and displaying the content on an interface of user equipment; the user can conveniently select whether to click to view the recommended content through the display. The time for the user to search by himself is saved.
In addition, after the recommended content is displayed to the user through the user equipment interface, judging whether the user equipment receives a third click operation of the user or not in a second preset time; the third click operation is a click operation of a user for recommended content; and when the user equipment does not receive the third click operation of the user, canceling the display of the recommended content. The second preset time may be set to 10 minutes, where 10 minutes refers to when the user enters the live room, starts to count, and within 10 minutes, the user does not click on the card view of the recommended content at a time, confirms that the recommended content is not interesting to the user, and automatically cancels the card view of the recommended content. The second preset time is set in actual conditions, and is not limited herein.
Therefore, the present specification also builds two other ways to recommend the recommended content according to the above manner, and the other two types of recommended content are recommended based on the selection of the user, so that the recommended content is more popular. The probability of user click viewing is higher.
Two other ways are described below.
In one possible embodiment, the second way of recommending content comprises step S401-step S403. Fig. 4 is a schematic flow chart of another live information recommendation method according to an embodiment of the present application, as shown in fig. 4.
Step S401: the method includes presenting text information, the text information including a plurality of texts, the plurality of texts including a first text.
In the above steps, displaying text information means that the words of the anchor in the live broadcast process are converted into text information, and the text information is displayed on a user equipment interface, so that the user can know the words of the anchor in the first seconds conveniently.
Step S402: and responding to a second click operation of the first text by the user.
In the above step, the second click operation means that the user is interested in the displayed text information, and the user selects the word of interest from the displayed text information.
For example, fig. 5 is a schematic view of a scenario of still another live information recommendation method provided in the embodiment of the present application, as shown in fig. 5 (a), where a user is watching a host T, the host T is saying "i am is learning a new dish, and this dish is called potato sirloin". The dynamic time warping algorithm recognizes the voice of the sentence, and the recognized voice is displayed on a user equipment interface, namely, a new dish called potato sirloin is learned by me today. The display can be set to be 5 seconds, the user is interested in the potato sirloin, the remote controller is used for selecting the potato sirloin of the sentence within 5 seconds, and the potato sirloin is matched in a preset recommendation library and matched with the food and the kitchen skill type in the preset recommendation library; the recommended content is displayed in a card view. As shown in fig. 5 (b), the user wants to know the way of the potato sirloin, and clicks "the way of the potato sirloin" to jump to the next page. As shown in fig. 5 (c), the "potato sirloin making method" is shown to the user, and when the user wants to learn to make potato sirloin, the user can collect the page of the potato sirloin making method, so that the user can find the page in the favorites and learn how to make potato sirloin when making potato sirloin next time. The user can share the page to friends who like to cook, and the specific situation is mainly the actual situation, and the specific situation is not exemplified here one by one. In the live broadcast watching process, the user can pay attention to the main broadcast according to the self requirement, and can also indicate the like of the live broadcast type by clicking the live broadcast.
Step S403: and matching the recommended content corresponding to the first text from a preset recommended library, and displaying the recommended content to a user through a user equipment interface.
In the step, according to the words selected by the user, the words are matched with a preset recommendation library, and the matched contents are recommended to the user, so that the user can check conveniently. The presentation time of each text message is limited. The display time is set correspondingly when the text information is displayed. And the time limit is not set, and when the anchor always speaks, the displayed text information is too much, so that the user experience of watching live broadcast can be affected.
For example, as shown in fig. 5 (c), the "potato sirloin making method" is shown to the user, and when the user wants to make the potato sirloin, the user can collect the page for making the potato sirloin, so that the user can find the page in the favorites and learn how to make the potato sirloin when making the potato sirloin next time. The user can share the page to friends who like to cook, and the specific situation is mainly the actual situation, and the specific situation is not exemplified here one by one. In the live broadcast watching process, the user can pay attention to the main broadcast according to the self requirement, and can also indicate the like of the live broadcast type by clicking the live broadcast.
Further, in the first preset time, the user equipment does not receive the second click operation of the user, and the display of the recommended content is canceled. The first preset time refers to the time when the user enters the live broadcast, and the time is within the preset time.
For example, the user is watching live broadcast of a host S, and the host S is in the live broadcast process; identifying a lot of text information, and displaying the text information on an interface of the user equipment according to time; the first preset time is set to be 15 minutes, the user starts timing from entering the live broadcasting room, after 15 minutes, the user equipment does not receive clicking operation of actively selecting and displaying text information by the user, the user is confirmed to be not interested in the card view of the recommended content, and based on the experience of watching live broadcasting by the user, the card view of the recommended content is canceled. The setting of the first preset time is mainly actual conditions and is not limited herein.
In one possible embodiment, when the host mentions a food item, the food item matches a preset recommendation library; three channels of food can be recommended, and local food is recommended according to the positioning information of the user; according to the food recommended line mentioned by the anchor, off-line can be recommended; the specific recommendation condition is recommended according to the actual condition of the user, so that the user can select conveniently.
In a possible embodiment, the third way of recommending content comprises step S601-step S602. Fig. 6 is a schematic flow chart of still another live information recommendation method according to an embodiment of the present application, as shown in fig. 6.
Step S601: in response to a user's preset operation, the preset operation is used to represent a user's pre-selected first content link type operation, the first content link type including one or more of video, music, food, attractions, and sports.
In the above steps, the preset operation means that before the user watches the live video, in order to improve the matching degree between the recommended content and the user's requirement, the recommended content is more in line with the user's requirement or interest. The first content link type is a type of recommended content.
For example, when a user enters a live platform, the user can select a type of interest, wherein the type of interest is video, music, food, scenic spot, sports, cartoon, variety, history, dessert, drink, health preserving, plant, etc. The types of interest selected by the user W are food, cartoon, and dessert. The content recommended to the user W can be only three types of food, cartoon and dessert, and other types of content cannot be recommended.
Step S602: and matching a second content link type corresponding to the first content link type from the recommended content, wherein the first content link type and the second content link type are the same content link type.
In the above step, the second content link type is a type selected by the user according to own needs among the first content link types.
For example, the first content link content includes video, music, food, scenic, sports, cartoon, variety, history, dessert, drink, health care, and plant. The user Q selects the scenic spot class, the life-preserving class, and the plant class of the second content link type based on his own needs. During the live broadcast process, the anchor Y refers to an Enshi big canyon, and matches the Enshi big canyon with a preset recommendation library and scenic spots in the preset recommendation library; and judging whether the information of the scenic spot class is in the type of interest of the user Q, confirming that the scenic spot class is in the type of interest of the user Q, and displaying the information of the Enshi canyon and the card view of the place, so that the user can conveniently check the related information of the scenic spot.
For example, during the live broadcast, the anchor Y refers to a song "actor", and matches the actor's song with the preset recommendation library, and matches the actor's song with the music in the preset recommendation library; and judging whether the information of the music class is in the type of interest of the user Q, and confirming that the information of the music class is not in the type of interest of the user Q, and not displaying the song of the actor to the user Q in a card view mode.
Step S603: and displaying the second content link type to the user through the user equipment interface.
In the step, the second content link type is a link showing the type of interest of the user, so that the user can check conveniently, and the experience of the user is improved.
The embodiment of the application also provides a live broadcast information recommendation device. Fig. 7 is a schematic structural diagram of a live information recommendation device according to an embodiment of the present application; referring to fig. 7, the server includes a receiving unit 701, a judging unit 702, and a displaying unit 703.
A receiving unit 701, responding to a first click operation of a user on the live video on a user equipment interface, and displaying the live video;
the judging unit 702 is used for identifying the voice of the anchor in the live video by using a dynamic time warping algorithm to obtain text information corresponding to the voice; matching recommended content corresponding to the text information from a preset recommended library, wherein the recommended content comprises one or more content link types in videos, music, delicacies, scenic spots and sports;
and a display unit 703 for displaying the recommended content to the user through the user equipment interface.
In a possible embodiment, the determining unit 702 further includes a first recommending subunit, where the first recommending subunit obtains a location identifier of the user equipment; and matching the recommended content corresponding to the text information from a preset recommended library in a preset positioning range of the positioning mark.
In a possible embodiment, the determining unit 702 further includes a second recommending subunit, where the second recommending subunit obtains hot spot information of the live platform; matching recommended content corresponding to the text information from a preset recommended library; and matching the recommended content corresponding to the hot spot information from the recommended content corresponding to the text information.
In a possible embodiment, the judging unit 702 further includes a presenting subunit that presents text information, the text information including a plurality of texts, the plurality of texts including the first text; responding to a second click operation of the user on the first text; and matching the recommended content corresponding to the first text from a preset recommended library, and displaying the recommended content to a user through a user equipment interface.
In a possible embodiment, the determining unit 702 further includes a first cancellation subunit, and if the user equipment does not receive the second click operation of the user within the first time preset, the recommended content is cancelled for display.
In a possible embodiment, during the second preset time, the determining unit 702 determines whether the user device receives the third click operation of the user; the third click operation is a click operation of a user for recommended content; and when the user equipment does not receive the third click operation of the user, canceling the display of the recommended content.
In one possible embodiment, the receiving unit 701 is responsive to a preset operation by the user, the preset operation being used to represent a first content link type operation selected by the user in advance, the first content link type including one or more content link types of video, music, food, scenery spot, and sports; the judging unit 702 matches a second content link type corresponding to the first content link type from the recommended content, the first content link type and the second content link type being the same content link type; the presentation unit 703 presents the second content link type to the user through the user device interface.
By adopting the method, in the live broadcast watching process of the user, according to nouns or events mentioned by the anchor, the identified nouns or events are matched with a preset recommendation library, and the positioning information of the user can be combined for matching; matching can also be performed by combining current hot spot information; displaying the recommended content to the user according to the matched and corresponding recommended content; based on the requirements of the user, the recommendation can be performed according to the selection of the user so that the recommended content is interested by the user; the inquiry time is saved, and the interests and hobbies of the user are further expanded.
It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.
Referring to fig. 8, fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 8, the electronic device 800 may include: at least one processor 801, at least one network interface 804, a user interface 803, memory 805, at least one communication bus 802.
Wherein a communication bus 802 is used to enable connected communication between these components.
The user interface 803 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 803 may further include a standard wired interface and a wireless interface.
The network interface 804 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 801 may include one or more processing cores. The processor 801 connects various parts within the entire server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 805, and invoking data stored in the memory 805. Alternatively, the processor 801 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 801 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application request and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 801 and may be implemented on a single chip.
The Memory 805 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 805 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 805 may be used to store instructions, programs, code, sets of codes, or instruction sets. The memory 805 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 805 may also optionally be at least one storage device located remotely from the aforementioned processor 801.
As shown in fig. 8, an operating system, a network communication module, a user interface module, and an application program for live information recommendation may be included in the memory 805 as one type of computer storage medium.
In the electronic device 800 shown in fig. 8, the user interface 803 is mainly used for providing an input interface for a user, and acquiring data input by the user; and processor 801 may be used to invoke an application program in memory 805 that stores live information recommendations, which when executed by one or more processors, causes electronic device 800 to perform the methods as described in one or more of the embodiments above.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided herein, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains.

Claims (10)

1. The live broadcast information recommending method is characterized by being applied to user equipment, and comprises the following steps:
responding to a first click operation of a user on a live video on a user equipment interface, and displaying the live video;
identifying the voice of the anchor in the live video by using a dynamic time warping algorithm to obtain text information corresponding to the voice;
matching recommended content corresponding to the text information from a preset recommendation library, wherein the recommended content comprises one or more content link types in videos, music, delicacies, scenic spots and sports;
and displaying the recommended content to the user through the user equipment interface.
2. The method of claim 1, wherein the matching the recommended content corresponding to the text information from a preset recommendation library specifically includes:
acquiring a positioning identifier of the user equipment;
and matching the recommended content corresponding to the text information from the preset recommended library in a preset positioning range of the positioning identifier.
3. The method of claim 1, wherein the matching the recommended content corresponding to the text information from a preset recommendation library specifically includes:
acquiring hot spot information of a live broadcast platform;
matching the recommended content corresponding to the text information from the preset recommended library;
and matching the recommended content corresponding to the hot spot information from the recommended content corresponding to the text information.
4. The method according to claim 1, wherein the method further comprises, after the step of recognizing the voice of the user by using the dynamic time warping algorithm to obtain the text information corresponding to the voice:
displaying the text information, wherein the text information comprises a plurality of texts, and the plurality of texts comprise a first text;
responding to a second click operation of the user on the first text;
and matching the recommended content corresponding to the first text from the preset recommended library, and displaying the recommended content to the user through the user equipment interface.
5. The method according to claim 4, wherein the method further comprises:
and if the user equipment does not receive the second click operation of the user within the first preset time, canceling the display of the recommended content.
6. The method of claim 1, wherein after the presenting the recommended content to the user via the user device interface, the method further comprises:
judging whether the user equipment receives a third click operation of the user or not in a second preset time; the third click operation is a click operation of the user on the recommended content;
and when the user equipment does not receive the third click operation of the user, canceling the display of the recommended content.
7. The method according to claim 1, wherein the presenting the recommended content to the user through the user device interface specifically comprises:
responding to the preset operation of the user, wherein the preset operation is used for representing a first content link type operation preselected by the user, and the first content link type comprises one or more content link types of video, music, food, scenic spots and sports;
matching a second content link type corresponding to the first content link type from the recommended content, wherein the first content link type and the second content link type are of the same content link type;
and displaying the second content link type to the user through the user equipment interface.
8. The live broadcast information recommending device is characterized by being a server, wherein the server comprises a receiving unit, a judging unit and a display unit;
the receiving unit is used for responding to a first click operation of a user on the live video on the interface of user equipment and displaying the live video;
the judging unit is used for identifying the voice of the anchor in the live video by utilizing a dynamic time warping algorithm to obtain text information corresponding to the voice; matching recommended content corresponding to the text information from a preset recommendation library, wherein the recommended content comprises one or more content link types in videos, music, delicacies, scenic spots and sports;
and the display unit displays the recommended content to the user through the user equipment interface.
9. An electronic device comprising a processor, a memory, a user interface, and a network interface, the memory for storing instructions, the user interface and the network interface for communicating to other devices, the processor for executing the instructions stored in the memory to cause the electronic device to perform the method of any of claims 1-7.
10. A computer readable storage medium storing instructions which, when executed, perform the method of any one of claims 1-7.
CN202211435979.6A 2022-11-16 2022-11-16 Live broadcast information recommendation method and device, electronic equipment and storage medium Pending CN116108262A (en)

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Publication number Priority date Publication date Assignee Title
CN112399200A (en) * 2019-08-13 2021-02-23 腾讯科技（深圳）有限公司 Method, device and storage medium for recommending information in live broadcast
CN113421143A (en) * 2020-10-10 2021-09-21 阿里巴巴集团控股有限公司 Processing method and device for assisting live broadcast and electronic equipment
CN114095749A (en) * 2022-01-19 2022-02-25 阿里巴巴（中国）有限公司 Recommendation and live interface display method, computer storage medium and program product

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112399200A (en) * 2019-08-13 2021-02-23 腾讯科技（深圳）有限公司 Method, device and storage medium for recommending information in live broadcast
CN113421143A (en) * 2020-10-10 2021-09-21 阿里巴巴集团控股有限公司 Processing method and device for assisting live broadcast and electronic equipment
CN114095749A (en) * 2022-01-19 2022-02-25 阿里巴巴（中国）有限公司 Recommendation and live interface display method, computer storage medium and program product

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