CN109543102A - Information recommendation method, device and storage medium based on video playing - Google Patents
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Abstract
The application proposes a kind of information recommendation method based on video playing, device and storage medium, wherein method includes: the voice content for obtaining currently playing video；Speech recognition is carried out to the voice content and obtains content of text, and target search word is determined according to the content of text；It is scanned for according to the target search word, and search result is shown into the region in interface of mobile terminal other than video playback area.Pass through this method, the active that can be realized video content relevant information is recommended, the knowledge of various dimensions is obtained during watching video convenient for user, user is avoided to be manually entered the complicated processes that search term scans for, solution needs user's manual search information relevant to video content, the technical problem time-consuming and laborious, information seeking processes are cumbersome in the prior art.
Description
Technical Field
The present application relates to the field of information search technologies, and in particular, to a method and an apparatus for recommending information based on video playing, and a storage medium.
Background
With the development of mobile terminals and internet technology, more and more users enjoy watching videos on the mobile terminals.
Currently, in the related art, when a user watches a video using a mobile terminal, if a content mentioned in the video is interested, the user needs to quit a current video playing interface and then inputs keywords related to the interested content to search for the interested content, so as to obtain related information. However, the information acquisition method is complex in process, time-consuming and labor-consuming, and may interrupt video playing, which may affect the user experience of watching video.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the application provides an information recommendation method, an information recommendation device and a storage medium based on video playing, which are used for solving the technical problems that in the prior art, a user needs to manually search information related to video content, time and labor are wasted, and the information search process is complicated.
In order to achieve the above object, an embodiment of a first aspect of the present application provides an information recommendation method based on video playing, including:
acquiring voice content of a currently played video;
performing voice recognition on the voice content to obtain text content, and determining a target search word according to the text content;
and searching according to the target search word, and displaying a search result in an area outside a video playing area in the interface of the mobile terminal.
According to the information recommendation method based on video playing in the embodiment of the application, the voice content of the currently played video is obtained, the voice recognition is performed on the voice content to obtain the text content, the target search word is determined according to the text content, the search is further performed according to the target search word, and the search result is displayed in the area outside the video playing area in the mobile terminal interface. Therefore, active recommendation of relevant information of video content is achieved, and a user can conveniently acquire multi-dimensional knowledge in the process of watching videos. The target search word is determined to be searched by acquiring the voice content of the video, so that the complicated process of manually inputting the search word by a user for searching is avoided, time and labor are saved, and the currently played video is not required to be interrupted; by displaying the search result in the area outside the video playing area in the mobile terminal interface, the information is recommended to the user, the user watching the video is not influenced, and the user experience is improved.
In order to achieve the above object, a second aspect of the present application provides an information recommendation apparatus based on video playing, including:
the acquisition module is used for acquiring the voice content of the currently played video;
the determining module is used for carrying out voice recognition on the voice content to obtain text content and determining a target search word according to the text content;
and the searching and displaying module is used for searching according to the target searching word and displaying the searching result in the area outside the video playing area in the mobile terminal interface.
According to the information recommendation device based on video playing, the voice content of the video played at present is obtained, voice recognition is performed on the voice content to obtain the text content, the target search word is determined according to the text content, searching is further performed according to the target search word, and the search result is displayed in the area outside the video playing area in the mobile terminal interface. Therefore, active recommendation of relevant information of video content is achieved, and a user can conveniently acquire multi-dimensional knowledge in the process of watching videos. The target search word is determined to be searched by acquiring the voice content of the video, so that the complicated process of manually inputting the search word by a user for searching is avoided, time and labor are saved, and the currently played video is not required to be interrupted; by displaying the search result in the area outside the video playing area in the mobile terminal interface, the information is recommended to the user, the user watching the video is not influenced, and the user experience is improved.
To achieve the above object, a third aspect of the present application provides a computer device, including: a processor and a memory; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the information recommendation method based on video playing according to the embodiment of the first aspect.
To achieve the above object, a fourth aspect of the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a video playback-based information recommendation method according to the first aspect.
To achieve the above object, a fifth aspect of the present application provides a computer program product, where instructions of the computer program product, when executed by a processor, implement a video-playback-based information recommendation method as described in the first aspect of the present application.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of an information recommendation method based on video playing according to an embodiment of the present application;
FIG. 2(a) is an exemplary diagram I showing search results;
FIG. 2(b) is an exemplary diagram two showing search results;
fig. 3 is a schematic flowchart of another information recommendation method based on video playing according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another information recommendation method based on video playing according to an embodiment of the present application;
fig. 5 is a schematic flowchart of another information recommendation method based on video playing according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an information recommendation device based on video playing according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of another information recommendation device based on video playing according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes an information recommendation method, apparatus, and storage medium based on video playing according to an embodiment of the present application with reference to the drawings.
Fig. 1 is a schematic flowchart of an information recommendation method based on video playing according to an embodiment of the present application, where the method may be applied to mobile terminals such as a mobile phone, a tablet computer, and a notebook computer.
As shown in fig. 1, the information recommendation method based on video playing may include the following steps:
step 101, acquiring the voice content of the currently played video.
The mobile terminal enables a user to watch videos anytime and anywhere in the presence of a network. The user can watch the video through the video playing software installed in the mobile terminal, and can also watch the video in a webpage through the video playing plug-in provided in the browser.
In this embodiment, in the process that the user watches the video through the mobile terminal, the browser in the mobile terminal may acquire the voice content of the currently played video. For example, the browser may obtain the voice content of the currently played video at preset time intervals; or, the browser may also obtain the voice content of the currently played video in real time.
In a possible implementation manner of the embodiment of the application, a video and voice search recommendation switch may be set in a webpage playing a video and displayed in the webpage, or a video and voice search recommendation switch may be set in video playing software, and a user may select to turn on or turn off the video and voice search recommendation switch. When the video voice search recommendation switch is turned on, in the process that a user watches videos by using the mobile terminal, triggering a browser in the mobile terminal to acquire voice contents of the currently played videos; when the video voice search recommendation switch is turned off, the browser is not triggered to acquire the voice content of the currently played video. Therefore, the automatic selection of the video and voice recommendation function is realized, and the flexibility of the method is improved.
And 102, performing voice recognition on the voice content to obtain text content, and determining a target search word according to the text content.
In this embodiment, after the voice content of the currently played video is acquired, the acquired voice content may be identified by using a voice identification technology, the voice content is converted into text content, and then the target search term is determined according to the text content.
As an example, the process of recognizing the voice content as the text content may be performed in the mobile terminal, and after the browser acquires the voice content of the currently played video, the browser recognizes the voice content to obtain the text content, thereby reducing the time delay of information search.
As an example, the process of recognizing the voice content as the text content may be performed at a server side, after the browser acquires the voice content of the currently played video, the acquired voice content may be sent to the server, and after the server recognizes the voice content to obtain the text content, the text content is returned to the browser, so that the processing load at the mobile terminal side can be reduced, and the energy consumption of the mobile terminal can be reduced.
It should be noted that, a specific implementation process for determining the target search term will be described in the following, and will not be described in detail here.
And 103, searching according to the target search word, and displaying the search result in an area outside the video playing area in the mobile terminal interface.
In this embodiment, after the target search term is determined according to the voice content of the currently played video, information search may be performed according to the target search term, and the search result is displayed in an area outside the video playing area in the mobile terminal interface.
Further, when the search result is displayed, the search result may be rendered according to a preset display style template and then displayed in an area outside the video playing area in the mobile terminal interface. For example, a corresponding display style template may be selected according to the type of the obtained search result, and the search result may be displayed according to the determined display style template.
It can be understood that there may be more than one search result obtained according to the target search term, and since the display interface of the mobile terminal is limited, when the search result is displayed in an area that is considered by the video playing interface in the interface of the mobile terminal, the search result of the cognitive class, such as the searched content of the hundred degree encyclopedias, may be preferentially displayed; alternatively, the obtained search results may be ranked, and the search result with the highest relevance to the target search term may be preferentially displayed. Further, the user may slide the display area of the search results upward to view more search results.
In a possible implementation manner of the embodiment of the present application, when a video is played in a web page, a search result obtained by searching according to a target search term may be displayed in an area outside a video playing area in the web page, as shown in fig. 2 (a). In fig. 2(a), the upper half of the web page is a video playing area for displaying a video playing interface, and the lower half of the web page is a recommended content area for displaying a search result obtained according to the target search term.
In a possible implementation manner of the embodiment of the present application, when a video is played in video playing software, the mobile terminal may be triggered to split a screen, and a search result obtained by searching according to a target search term is displayed in one of screen partitions, as shown in fig. 2 (b). In fig. 2(B), the display interface of the mobile terminal is divided into two areas, namely an area a and an area B, wherein the area a is used for displaying the video playing interface, and the area B is used for displaying the search result.
Further, in a possible implementation manner of the embodiment of the present application, when the voice content of the video is obtained again, the above steps are repeatedly executed to obtain a new search result, the search result displayed last time is removed, and the new search result is displayed in an area other than the video playing area in the interface of the mobile terminal, so that the recommendation information is updated along with the playing of the video content.
According to the information recommendation method based on video playing, the voice content of the currently played video is obtained, voice recognition is performed on the voice content to obtain the text content, the target search word is determined according to the text content, searching is further performed according to the target search word, and the search result is displayed in the area outside the video playing area in the mobile terminal interface. Therefore, active recommendation of relevant information of video content is achieved, and a user can conveniently acquire multi-dimensional knowledge in the process of watching videos. The target search word is determined to be searched by acquiring the voice content of the video, so that the complicated process of manually inputting the search word by a user for searching is avoided, time and labor are saved, and the currently played video is not required to be interrupted; by displaying the search result in the area outside the video playing area in the mobile terminal interface, the information is recommended to the user, the user watching the video is not influenced, and the user experience is improved.
In the embodiment of the present application, the target search term corresponding to the text content may be determined in different manners, for example, the target search term is obtained by performing word segmentation processing on the text content, or the target search term is obtained by performing intention analysis on the text content, which will be described in detail below with respect to different manners.
In a possible implementation manner of the embodiment of the present application, a target search term may be obtained by performing term segmentation processing on text content, so that another information recommendation method based on video playing is provided in the present application, and fig. 3 is a flowchart of another information recommendation method based on video playing provided in the embodiment of the present application.
As shown in fig. 3, based on the embodiment shown in fig. 1, step 102 may include the following steps:
step 201, performing word segmentation processing on the text content to obtain at least one word segmentation.
In this embodiment, after the obtained voice content is identified to obtain the corresponding text content, word segmentation processing may be performed on the obtained text content to obtain at least one word segment.
The word segmentation processing is a relatively mature technology at present, and is not described in a too great way in the present application.
For example, for the text content "i like to eat the braised tofu in soy sauce, the diced chicken in palace and the shredded pork with fish flavor in the north flat restaurant", after the word segmentation processing is performed on the text content, a plurality of word segments of "i", "most", "like", "eating", "your", "the restaurant", "the braised tofu in soy sauce", "the diced chicken in palace" and the shredded pork with fish flavor "can be obtained.
When the voice content is identified to obtain the text content, the situation of identification errors exists inevitably, so that word segmentation obtained after word segmentation processing is inaccurate, and finally information recommended to a user is irrelevant to the video content. In order to improve the accuracy of information recommendation, in a possible implementation manner of the embodiment of the present application, after performing word segmentation processing on text content to obtain at least one segmented word, the obtained segmented word may be further subjected to error correction processing according to a preset word bank to obtain a correct segmented word, where the preset word bank may be generated by collecting nouns appearing in text resources such as documents, books, and web pages. For example, according to the preset word stock, the north plateau restaurant is corrected to be the north flat restaurant.
Step 202, screening at least one word segmentation according to a preset rule to obtain a target search word.
The preset rule may be preset, and may be one or a combination of a plurality of rules, such as a part-of-speech priority rule (for example, a noun has a higher priority than a verb), a random selection of a word of the same kind, a selection of a first noun, a presence in a searchable vocabulary, and the like. Wherein the searchable entry may be determined from encyclopedia entries.
For example, for the above-mentioned segmented words "i", "favorite", "eat", "your", "beiping restaurant", "what", "braised tofu", "bonbonbon chicken dices", and "fish-flavored shredded meat", the "beiping restaurant" can be determined as the target search word according to the word class priority rule and the rule of selecting the first noun.
In a possible implementation manner of the embodiment of the application, after the target search term is determined, one word segmentation may be further selected from at least one word segmentation as a candidate search term, where the candidate search term is different from the target search term. Therefore, after searching according to the target search word, if the related search result is not searched according to the target search word, searching according to the alternative search word, and displaying the result searched according to the alternative search word in the area outside the video playing area in the mobile terminal interface.
For example, in the above example, it is assumed that the determined target search term is a north flat restaurant, the candidate search term is braised tofu, when a search result is not searched according to the north flat restaurant, the braising tofu is continuously used for searching, and the obtained search result related to the braised tofu is displayed in an area outside a video playing area in the mobile terminal interface.
By determining the target search word and the alternative search word, when a result is not searched according to the target search word, the alternative search word is used for searching, so that the information recommendation probability is improved, and the relevant information can be recommended to a user as far as possible when the voice content of the video is acquired.
According to the information recommendation method based on video playing, at least one participle is obtained by performing word segmentation processing on text content, and then at least one participle is screened according to a preset rule to obtain a target search word, so that the target search word is determined according to voice content of a video for information search, and a complicated process that a user determines and inputs the search word for search is avoided.
In a possible implementation manner of the embodiment of the present application, a target search term may be obtained by performing intent analysis on text content, so that another information recommendation method based on video playing is provided in the present application, and fig. 4 is a flowchart of another information recommendation method based on video playing provided in the embodiment of the present application.
As shown in fig. 4, based on the embodiment shown in fig. 1, step 102 may include the following steps:
step 301, determining at least one intention keyword corresponding to the text content according to a pre-trained intention analysis model.
In this embodiment, a large number of sentences may be collected, an intention corresponding to each sentence is determined, the sentences and the corresponding intentions thereof are used as a training corpus, a training sample set is formed by a large number of training corpora, and the initial model is trained by using the training sample set to obtain an intention analysis model. The initial model may be, for example, a convolutional neural network model, a cyclic neural network model, or the like.
And then, after the voice content is identified to obtain the text content, inputting the text content into a trained intention analysis model, and outputting at least one intention keyword related to the input text content by the intention analysis model.
For example, for the text content "how much money is one part of braised bean curd in brown sauce in north flat restaurant", the corresponding intention keywords can be determined as "price of braised bean curd in brown sauce" and "menu in north flat restaurant" according to the intention analysis model.
Step 302, selecting one of the at least one intention keyword as a target search term.
In this embodiment, after obtaining the at least one intention keyword according to the intention analysis model, one of the at least one intention keyword may be selected as the target search term.
As an example, the target search word may be determined according to the degree of correlation of the intention keyword with the input text content, and the intention keyword having the highest degree of correlation may be determined as the target search word.
As one example, one of the at least one intent keyword may be randomly selected as the target search term.
In a possible implementation manner of the embodiment of the application, after the target search term is determined, one of the at least one intention keyword may be selected as a candidate search term, where the candidate search term is different from the target search term. Therefore, after searching according to the target search word, if the related search result is not searched according to the target search word, searching according to the alternative search word, and displaying the result searched according to the alternative search word in the area outside the video playing area in the mobile terminal interface.
According to the information recommendation method based on video playing, at least one intention keyword corresponding to the text content is determined according to a pre-trained intention analysis model, and then one intention keyword is selected from the at least one intention keyword to serve as a target search word, so that the purpose that the target search word is determined according to the voice content of the video for information search is achieved, and the tedious process that a user determines and inputs the search word for search is avoided.
Fig. 5 is a schematic flowchart of another information recommendation method based on video playing according to an embodiment of the present application. As shown in fig. 5, the information recommendation method based on video playing may include the following steps:
step 401, when a preset keyword is detected, acquiring a voice content containing the preset keyword.
The preset keywords can be generated according to terms, proper nouns and the like in encyclopedia.
In this embodiment, a detection module may be disposed in the browser, and is configured to detect a keyword appearing in a video playing process, match the acquired keyword with a preset keyword, and trigger the browser to acquire a voice content including the preset keyword when the acquired keyword is the preset keyword.
In a possible implementation manner of the embodiment of the application, the detection module may also acquire the voice content of the video in real time, detect whether the acquired voice content includes a preset keyword, and send the voice content including the preset keyword to the voice recognition module in the browser for voice recognition to obtain the text content when detecting that the voice content includes the preset keyword; or sending the voice content containing the preset keywords to a communication module in the browser so that the communication module sends the voice content to the server for voice recognition.
Step 402, performing voice recognition on the voice content to obtain text content, and determining a target search word according to the text content.
It should be noted that, in this embodiment, reference may be made to the foregoing description of the embodiment shown in fig. 3 and fig. 4 for a description of step 402, which is not described herein again.
Step 403, querying a preset retrieved word list, and determining whether the target search word is in the retrieved word list.
Wherein the retrieved word list is used to store historical target search words.
In this embodiment, when the currently played video starts to be played, an empty retrieved word list may be generated for storing the target search word for information search in the subsequent video playing process. And storing the target search word used in searching in the searched word list every time information searching is carried out. And inquiring the searched word list before determining the target search word for searching again, and judging whether the currently determined target search word exists in the searched word list, namely judging whether the currently determined target search word is searched so as to avoid recommending repeated information to the user. When it is known that the target search word is not in the retrieved word list, execute step 405; when the target search term is known to be in the retrieved vocabulary, step 404 is performed.
At step 404, the target search term is reselected.
In this embodiment, when it is known that the currently determined target search word exists in the retrieved word list, a new target search word may be reselected, for example, a noun other than the target search word is selected as a new target search word from at least one segment obtained by performing word segmentation processing on text content recognized according to speech content; or, selecting one intention keyword other than the currently determined target search word as a new target search word from the at least one intention keyword.
For example, for the segmented words "i", "like", "eat", "beiping restaurant", "of", "braised tofu in soy sauce", "bonbonbon chicken dices", and "fish-flavored shredded meat", the currently determined target search word is the beiping restaurant, and if the beige restaurant already exists in the searched word list, the braised tofu in soy sauce can be selected as a new target search word.
Further, after the newly selected target search term is determined, a search may be performed according to the newly selected target search term, i.e., step 405 is performed.
In a possible implementation manner of the embodiment of the present application, after the target search term is reselected, the step 403 may be executed to determine whether the newly selected target search term is in the retrieved word list, if so, the new target search term is continuously selected, and if not, the step 405 is executed to perform a search according to the newly selected target search term.
In a possible implementation manner of the embodiment of the present application, if all the target search terms determined according to the acquired currently played video content are in the retrieved word list, the latest search result is displayed in an area outside the video playing area in the mobile terminal interface.
And 405, searching according to the target search word, and displaying the search result in an area outside the video playing area in the mobile terminal interface.
In this embodiment, when the determined target search word is not in the retrieved word list, the search is performed according to the target search word, and the search result is displayed in an area outside the video playing area in the mobile terminal interface.
It should be noted that the target search word in step 405 may be a target search word that is not present in the searched word list, or may be a newly selected target search word.
According to the information recommendation method based on video playing, the voice content containing the preset keyword is acquired when the preset keyword is detected, so that unnecessary operation of acquiring the voice content can be avoided, subsequent operation can be avoided, and the energy consumption of the mobile terminal can be saved; by inquiring the preset retrieved word list before searching according to the target search word, searching according to the target search word when the target search word is not in the retrieved word list, and reselecting the target search word when the target search word is in the retrieved word list, the same target search word can be prevented from being repeatedly searched, repeated information is prevented from being recommended to a user, and user experience is improved.
In order to implement the above embodiments, the present application further provides an information recommendation device based on video playing.
Fig. 6 is a schematic structural diagram of an information recommendation device based on video playing according to an embodiment of the present application.
As shown in fig. 6, the video play-based information recommendation apparatus 50 may include: an acquisition module 510, a determination module 520, and a search and presentation module 530. Wherein,
the obtaining module 510 is configured to obtain a voice content of a currently played video.
In a possible implementation manner of the embodiment of the present application, the obtaining module 510 is specifically configured to obtain, when a preset keyword is detected, a voice content including the preset keyword. By acquiring the voice content containing the preset keyword when the preset keyword is detected, unnecessary operation of acquiring the voice content can be avoided, follow-up operation can be avoided, and energy consumption of the mobile terminal can be saved.
The determining module 520 is configured to perform speech recognition on the speech content to obtain text content, and determine a target search term according to the text content.
And the searching and displaying module 530 is configured to search according to the target search term, and display the search result in an area outside the video playing area in the mobile terminal interface.
In a possible implementation manner of the embodiment of the present application, when playing a video in a web page, the searching and displaying module 530 is specifically configured to display a search result in an area outside a video playing area in the web page.
In a possible implementation manner of the embodiment of the present application, when a video is played in video playing software, the searching and displaying module 530 is specifically configured to trigger screen splitting of the mobile terminal, and display a search result in one of the screen partitions.
In a possible implementation manner of the embodiment of the present application, the determining module 520 is specifically configured to perform word segmentation processing on text content to obtain at least one word segment; screening at least one word segmentation according to a preset rule to obtain a target search word; or determining at least one intention keyword corresponding to the text content according to a pre-trained intention analysis model; one of the at least one intention keyword is selected as a target search term. Therefore, the target search word is determined according to the voice content of the video for information search, and the complicated process that a user determines and inputs the search word for searching is avoided.
Further, in a possible implementation manner of the embodiment of the present application, the determining module 520 is further configured to select one of the at least one segmented word as a candidate search word; alternatively, one of the at least one intention keyword is selected as the alternative search term. Wherein the alternative search term is different from the target search term. Therefore, after the searching and displaying module 530 searches according to the target search term, it is also used for searching according to the alternative search term when the search result is not searched according to the target search term; and displaying the result searched according to the alternative search word in an area outside the video playing area in the interface of the mobile terminal.
By determining the target search word and the alternative search word, when a result is not searched according to the target search word, the alternative search word is used for searching, so that the information recommendation probability is improved, and the relevant information can be recommended to a user as far as possible when the voice content of the video is acquired.
In a possible implementation manner of the embodiment of the present application, as shown in fig. 7, on the basis of the embodiment shown in fig. 6, the video-play-based information recommendation apparatus 50 further includes:
and the query module 540 is configured to query a preset retrieved word list, where the retrieved word list is used to store the historical target search words.
In this embodiment, when the query module 540 knows that the target search word is not in the retrieved word list, the search and display module 530 is triggered to perform a search according to the target search word; when the query module 540 knows that the target search term exists in the retrieved word list, the trigger determination module 520 reselects the target search term.
By inquiring the preset retrieved word list before searching according to the target search word, searching according to the target search word when the target search word is not in the retrieved word list, and reselecting the target search word when the target search word is in the retrieved word list, the same target search word can be prevented from being repeatedly searched, repeated information is prevented from being recommended to a user, and user experience is improved.
It should be noted that the foregoing explanation on the embodiment of the information recommendation method based on video playing is also applicable to the information recommendation device based on video playing of this embodiment, and the implementation principle is similar, and is not repeated here.
The information recommendation device based on video playing of the embodiment obtains the voice content of the currently played video, performs voice recognition on the voice content to obtain the text content, determines the target search word according to the text content, further performs searching according to the target search word, and displays the search result in the area outside the video playing area in the mobile terminal interface. Therefore, active recommendation of relevant information of video content is achieved, and a user can conveniently acquire multi-dimensional knowledge in the process of watching videos. The target search word is determined to be searched by acquiring the voice content of the video, so that the complicated process of manually inputting the search word by a user for searching is avoided, time and labor are saved, and the currently played video is not required to be interrupted; by displaying the search result in the area outside the video playing area in the mobile terminal interface, the information is recommended to the user, the user watching the video is not influenced, and the user experience is improved.
In order to implement the foregoing embodiments, the present application also provides a computer device, including: a processor and a memory. Wherein, the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the information recommendation method based on video playing as described in the foregoing embodiments.
FIG. 8 is a block diagram of a computer device provided in an embodiment of the present application, illustrating an exemplary computer device 90 suitable for use in implementing embodiments of the present application. The computer device 90 shown in fig. 8 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present application.
As shown in fig. 8, the computer device 90 is in the form of a general purpose computer device. The components of computer device 90 may include, but are not limited to: one or more processors or processing units 906, a system memory 910, and a bus 908 that couples the various system components (including the system memory 910 and the processing unit 906).
Bus 908 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. These architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, to name a few.
Computer device 90 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 90 and includes both volatile and nonvolatile media, removable and non-removable media.
The system Memory 910 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 911 and/or cache Memory 912. The computer device 90 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 913 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, and commonly referred to as a "hard disk drive"). Although not shown in FIG. 8, a disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read Only Memory (CD-ROM), a Digital versatile disk Read Only Memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 908 by one or more data media interfaces. System memory 910 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
Program/utility 914 having a set (at least one) of program modules 9140 may be stored, for example, in system memory 910, such program modules 9140 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination of these examples may comprise an implementation of a network environment. Program modules 9140 generally perform the functions and/or methods of embodiments described herein.
The computer device 90 may also communicate with one or more external devices 10 (e.g., keyboard, pointing device, display 100, etc.), with one or more devices that enable a user to interact with the terminal device 90, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 90 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 902. Moreover, computer device 90 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via Network adapter 900. As shown in FIG. 8, network adapter 900 communicates with the other modules of computer device 90 via bus 908. It should be appreciated that although not shown in FIG. 8, other hardware and/or software modules may be used in conjunction with computer device 90, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 906 executes various functional applications and data processing by running programs stored in the system memory 910, for example, implementing the video-play-based information recommendation method mentioned in the foregoing embodiments.
In order to implement the foregoing embodiments, the present application further proposes a non-transitory computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the video playback-based information recommendation method according to the foregoing embodiments.
In order to implement the foregoing embodiments, the present application further proposes a computer program product, wherein when the instructions in the computer program product are executed by a processor, the information recommendation method based on video playing as described in the foregoing embodiments is implemented.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. An information recommendation method based on video playing is characterized by comprising the following steps:
acquiring voice content of a currently played video;
performing voice recognition on the voice content to obtain text content, and determining a target search word according to the text content;
and searching according to the target search word, and displaying a search result in an area outside a video playing area in the interface of the mobile terminal.
2. The method of claim 1, wherein the obtaining the voice content of the currently playing video comprises:
and when a preset keyword is detected, acquiring the voice content containing the preset keyword.
3. The method of claim 1, wherein the determining a target search term from the textual content comprises:
performing word segmentation processing on the text content to obtain at least one word segmentation;
and screening the at least one word segmentation according to a preset rule to obtain a target search word.
4. The method of claim 1, wherein the determining a target search term from the textual content comprises:
determining at least one intention keyword corresponding to the text content according to a pre-trained intention analysis model;
selecting one from the at least one intention keyword as a target search term.
5. The method according to claim 3 or 4, characterized in that the method further comprises:
selecting one of the at least one segmented word as a candidate search word; or,
selecting one from the at least one intention keyword as an alternative search term;
wherein the alternative search term is different from the target search term;
after the searching according to the target search word, the method further comprises the following steps:
when a search result is not searched according to the target search word, searching according to the alternative search word;
and displaying the result searched according to the alternative search word in an area outside a video playing area in the interface of the mobile terminal.
6. The method according to any one of claims 1 to 4,
playing a video in a webpage;
the displaying the search result in the area outside the video playing area in the mobile terminal interface comprises:
displaying the search result in an area outside a video playing area in the webpage;
or,
playing the video in video playing software;
the displaying the search result in the area outside the video playing area in the mobile terminal interface comprises:
and triggering the screen splitting of the mobile terminal, and displaying the search result in one of the screen partitions.
7. The method of any of claims 1-4, wherein prior to the searching according to the target search term, the method further comprises:
inquiring a preset retrieved word list, wherein the retrieved word list is used for storing historical target search words;
if the target search word is not in the searched word list, searching according to the target search word;
and if the target search word is known to be in the searched word list, reselecting the target search word.
8. An information recommendation device based on video playing is characterized by comprising:
the acquisition module is used for acquiring the voice content of the currently played video;
the determining module is used for carrying out voice recognition on the voice content to obtain text content and determining a target search word according to the text content;
and the searching and displaying module is used for searching according to the target searching word and displaying the searching result in the area outside the video playing area in the mobile terminal interface.
9. A computer device comprising a processor and a memory;
wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, for implementing the video playback-based information recommendation method according to any one of claims 1 to 7.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the video playback-based information recommendation method according to any one of claims 1 to 7.
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