CN112291582A - User information recommendation method, system, computer device and readable storage medium - Google Patents
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- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/005—Language recognition
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0272—Voice signal separating
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/78—Detection of presence or absence of voice signals
- G10L25/87—Detection of discrete points within a voice signal
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- 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
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Abstract
The application relates to a user information recommendation method, a system, a computer device and a computer readable storage medium, wherein the method comprises the following steps: the method comprises the steps of data acquisition, namely acquiring an audio file generated by a anchor account and the field type of the anchor account; a voice separation step, which is used for identifying the audio file and separating to obtain at least one sound-producing object in the audio file and a separated audio file corresponding to each sound-producing object; a home location obtaining step of the anchor account, which is used for carrying out accent recognition on the separated audio file of each sound production object to obtain an accent home location of each sound production object, so as to obtain at least one anchor account home location; and an information recommendation step, which is used for acquiring and simultaneously matching preference data of the user, the field type, the address data of the user and the home location of the anchor account, and recommending the anchor account obtained by matching to the user. The method and the device have the advantages that the recommendation of the anchor nearby is carried out in a mode of identifying the accent of the anchor, and the practicability of the recommendation of the anchor is improved.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a method, a system, a computer device, and a computer-readable storage medium for recommending user information.
Background
The matching mechanism of the live broadcast platform on the current market basically selects interests and hobbies, a live broadcast room with a large number of people watching in a current channel is recommended for a user according to the selected interests and hobbies, a lot of Mandarin is not used during live broadcast, the Mandarin is provided with regional accents, and the user exits after entering the live broadcast room because the user cannot understand dialects.
In view of the above, existing live platforms often recommend a anchor account for a user through a nearby anchor. However, the live broadcast platform generally does not require the anchor to fill in the living address, the address needs to be filled in, and generally only one living address is filled in when the anchor is registered, in this way, when a new anchor person is added to the live broadcast room or the anchor person is replaced, the address information cannot be changed in real time, and in addition, the area to which the accent of some anchors belongs may not be consistent with the living address of the anchor, which also causes the impracticality of the recommendation mode of "nearby anchor" in the prior art.
Disclosure of Invention
The embodiment of the application provides a user information recommendation method, a user information recommendation system, computer equipment and a computer readable storage medium, wherein the recommendation of a nearby anchor is carried out in a mode of identifying an anchor accent, and the practicability of anchor recommendation is improved.
In a first aspect, an embodiment of the present application provides a user information recommendation method, including:
the method comprises the steps of data acquisition, namely acquiring an audio file generated by a anchor account and the field type of the anchor account;
a voice separation step, configured to identify the audio file based on a voice separation technique, and separate to obtain at least one sound object in the audio file and a separated audio file corresponding to each sound object, where the voice separation technique identifies all sound objects in the audio file based on differences in sound production positions/distances between the objects and the sound recorder, so as to perform voice separation to obtain the number of audio files corresponding to the number of sound objects, and each audio file is a voice corresponding to the separated sound object;
a home location obtaining step of the anchor account, which is used for carrying out accent recognition on the separated audio file of each sound production object to obtain an accent home location of each sound production object, so as to obtain at least one anchor account home location;
and an information recommendation step, which is used for acquiring and simultaneously matching preference data of a user, the field type, address data of the user and the home location of the anchor account, and recommending the anchor account obtained by matching to the user.
Through the steps, the sound production object in the audio file generated by the anchor account is analyzed and voice separation is carried out, so that the number of anchor people and the anchor attribution under the anchor account are judged, the anchor account attribution is confirmed, the problem of impracticality of a recommendation mode of 'nearby anchor' can be effectively solved, the intimacy of a user to the anchor is improved, and the user experience of the user between anchor works and live broadcast is improved;
meanwhile, the method of the embodiment of the application is not limited to the registration information of the user and the anchor account, but can be used for matching recommendation according to the address of the user and the attribution of the anchor account, so that the recommendation mode is enriched; and the affiliation place of the anchor account can be updated in time when the anchor is changed, so that the flexibility of information recommendation is improved.
In some embodiments, the step of acquiring home of the anchor account further comprises:
an effective Voice segment obtaining step, configured to obtain an effective Voice segment in each separated audio file based on Voice endpoint Detection (VAD);
and a sound generation object region acquisition step, which is used for carrying out accent analysis on the effective voice fragments based on a voice recognition technology to obtain the accent attribution of each sound generation object.
In some embodiments, the information recommending step further comprises:
a user data acquisition step, which is used for acquiring preference data and address data of a user, specifically, modeling interests and hobbies of the user by acquiring historical data of the user to obtain preference data of all users;
a user preference matching step, which is used for matching the preference data of the user with the field type of the anchor account to obtain the anchor account matched with the user preference;
a user address matching step, which is used for matching the address data of the user with the home location of the anchor account to obtain the anchor account matched with the user address;
a step of recommending the anchor account, which is used for taking intersection of results obtained in the step of matching the user preference and the user address, obtaining the anchor account which simultaneously matches the user preference and the user address and recommending the anchor account to the user; resulting in a host account that both satisfies the user's preferences and is located near the user.
In some of these embodiments, the user address information includes, but is not limited to: specifically, matching can be performed according to the user registration address, and if the interested live broadcast content is not matched, the address information determined by the user GPS positioning information can be acquired as more accurate user address information; the common login address information of the user account can also be used for matching so as to improve the accuracy of the matching result; the user address information can also be judged by taking the user registration address, the GPS positioning information and the user account common login address information as parameters.
In some embodiments, in the data obtaining step, the audio file is obtained by recording a live broadcast or a composition of the anchor account through a recording device, where the recording device includes but is not limited to: recording pen, recorder, built-in recording part.
In a second aspect, an embodiment of the present application provides a user information recommendation system, including:
the data acquisition module is used for acquiring an audio file generated by a anchor account and the field type of the anchor account;
the voice separation module is used for identifying the audio file based on a voice separation technology and separating to obtain at least one sounding object in the audio file and a separated audio file corresponding to each sounding object;
the anchor account attribution obtaining module is used for carrying out accent recognition on the separated audio file of each sound production object to obtain an accent attribution of each sound production object, so that at least one anchor account attribution is obtained;
and the information recommendation module is used for acquiring and simultaneously matching preference data of the user, the field type, the address data of the user and the home location of the anchor account, and recommending the anchor account obtained by matching to the user.
Through the structure, the method and the device have the advantages that the sound production object in the sound production object is analyzed according to the audio file generated by the anchor account and the voice separation is carried out, so that the number of anchors under the anchor account and the anchor place are judged, the anchor account place is confirmed, the problem of impracticality of a recommendation mode of 'nearby anchor' can be effectively solved, the intimacy of a user to the anchor is improved, and the user experience of the user between anchor works and live broadcasts is improved;
meanwhile, the system of the embodiment of the application is not limited to the registration information of the user and the anchor account, but can perform matching recommendation according to the user address and the attribution of the anchor account, so that the recommendation mode is enriched; and the affiliation place of the anchor account can be updated in time when the anchor is changed, so that the flexibility of information recommendation is improved.
In some embodiments, the anchor account attribution obtaining module further comprises:
an effective voice segment obtaining module, configured to obtain an effective voice segment in each separated audio file based on a voice endpoint detection technology;
and the voice object region acquisition module is used for carrying out accent analysis on the effective voice fragments based on a voice recognition technology to obtain the accent attribution of each voice object.
In some embodiments, the information recommendation module further comprises:
the user data acquisition module is used for acquiring preference data and address data of a user;
the user preference matching module is used for matching the preference data of the user with the field type of the anchor account to obtain the anchor account matched with the preference of the user;
the user address matching module is used for matching the address data of the user with the home location of the anchor account to obtain the anchor account matched with the user address;
and the anchor account recommending module is used for taking intersection of results obtained by the user preference matching module and the user address matching module to obtain an anchor account which simultaneously matches the user preference and the user address and recommending the anchor account to the user.
In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the user information recommendation method according to the first aspect is implemented.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the user information recommendation method according to the first aspect.
Compared with the related art, the user information recommendation method, the system, the computer device and the computer readable storage medium provided by the embodiment of the application can be used for matching the area type of the anchor account and the accent attribution based on the user interest and hobbies, the address and the anchor account and the accent attribution when recommending the anchor account or the live broadcast room for the user by identifying the accent attribution of the anchor, so that the problem that the user cannot hear the dialect of the anchor speech can be solved, the user can have a sense of familiarity with the anchor through the accent, and the singleton rate is promoted.
The method and the device for identifying the direct broadcast accent confirm the attribution of the direct broadcast accent in a mode of identifying the direct broadcast accent, so that the direct broadcast accent is matched with a user, and the problem that the matching mechanism of the existing direct broadcast platform is too single is solved; the existing live broadcast platform matching mechanism only matches according to interests and hobbies and cannot ensure that the language used by the anchor can be understood by users, so that the practicability of the 'nearby anchor' recommendation mode is improved.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flowchart of a user information recommendation method according to an embodiment of the application;
fig. 2 is a block diagram of a user information recommendation system according to an embodiment of the present application.
Description of the drawings:
1. a user information recommendation system; 11. a data acquisition module; 12. a voice separation module;
13. a home location acquisition module of the anchor account; 14. an information recommendation module;
131. an effective voice segment acquisition module; 132. a sound production object region acquisition module;
141. a user data acquisition module; 142. a user preference matching module;
143. a user address matching module; 144. and the anchor account recommending module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
The embodiment provides a user information recommendation method. Fig. 1 is a flowchart of a user information recommendation method according to an embodiment of the present application, and referring to fig. 1, the flowchart includes the following steps:
a data acquisition step S1, configured to acquire an audio file generated by a anchor account and a domain type of the anchor account;
a voice separation step S2, configured to identify an audio file based on a voice separation technique, and separate at least one sound object in the audio file and a separated audio file corresponding to each sound object, where the voice separation technique identifies all sound objects in the audio file based on the difference between the sound positions/distances of the object and the sound recorder, so as to perform voice separation to obtain the number of audio files corresponding to the number of sound objects, and each audio file is a voice corresponding to the separated sound object.
A step S3 of acquiring an affiliation place of the anchor account, where the step S3 is configured to perform accent recognition on the separated audio file of each sound-generating object to obtain an accent affiliation place of each sound-generating object, so as to obtain at least one anchor account affiliation place;
and an information recommending step S4, configured to acquire and simultaneously match the preference data and the field type of the user, the address data of the user, and the home location of the anchor account, and recommend the anchor account obtained through matching to the user.
Wherein, the anchor account attribution obtaining step S3 further includes:
an effective voice segment obtaining step S301, configured to obtain an effective voice segment in each separated audio file based on a VAD detection technique;
a sound-generating object region obtaining step S302, configured to perform an accent analysis on the valid speech segments based on a speech recognition technology, to obtain an accent attribution of each sound-generating object.
The information recommending step S4 further includes:
a user data obtaining step S401, configured to obtain preference data and address data of a user, specifically, obtain preference data of all users by obtaining historical data of the user and modeling interests and hobbies of the user; user address information includes, but is not limited to: specifically, matching can be performed according to the user registration address, and if the interested live broadcast content is not matched, the address information determined by the user GPS positioning information can be acquired as more accurate user address information; the common login address information of the user account can also be used for matching so as to improve the accuracy of the matching result; the user address information can also be judged by taking the user registration address, the GPS positioning information and the user account common login address information as parameters;
a user preference matching step S402, which is used for matching the preference data of the user with the field type of the anchor account to obtain the anchor account matched with the user preference;
a user address matching step S403, configured to match address data of the user with a home location of the anchor account to obtain an anchor account matching the user address;
a step S404 of recommending the anchor account, which is used for taking intersection of the results obtained in the steps S402 and S403 to obtain the anchor account which simultaneously matches the user preference and the user address and recommending the anchor account to the user; resulting in a host account that both satisfies the user's preferences and is located near the user.
Through the steps, the sound production object in the audio file generated by the anchor account is analyzed and voice separation is carried out, so that the number of anchor people and the anchor attribution under the anchor account are judged, the anchor account attribution is confirmed, the problem of impracticality of a recommendation mode of 'nearby anchor' can be effectively solved, the intimacy of a user to the anchor is improved, and the user experience of the user between anchor works and live broadcast is improved;
meanwhile, the method of the embodiment of the application is not limited to the registration information of the user and the anchor account, but can be used for matching recommendation according to the address of the user and the attribution of the anchor account, so that the recommendation mode is enriched; and the affiliation place of the anchor account can be updated in time when the anchor is changed, so that the flexibility of information recommendation is improved.
The embodiments of the present application are described and illustrated below by means of preferred embodiments.
First, according to step S1, when the anchor account is live, a sound recorder is used to record the anchor account, where the sound recorder may be an independent device, such as a recording pen or a sound recorder, or a component of a live device, such as a computer or a mobile phone, to obtain an audio file, and the field type of the anchor account may be obtained by querying data of the anchor account.
Then, the audio file obtained in step S2 is used to perform voice separation on the sound-generating objects, i.e., the anchor personnel, to obtain a separated audio file corresponding to each anchor: for example, but not limited to, the existing voice separation technology mainly identifies all speakers entering a live broadcast room based on the difference between the speaking positions/distances of the speakers and the sound recorder, so as to perform voice separation to obtain the number of recording files corresponding to the number of speakers.
Step S3 is executed again, and voice recognition is performed on the separated audio file obtained in step S2, so as to analyze the areas to which the accents belong, specifically, when the recording file is obtained, the validity of the recording file is firstly determined, and whether an effective voice segment is included (based on VAD detection) is determined; and when the valid voice segment is detected, starting to perform accent analysis to obtain an accent attribution, thereby obtaining the anchor account attribution.
When the user logs in the platform and watches the live broadcast, step S4 acquires user data by inquiring the interest and hobbies of the logged-in user and the address filled in during user registration, matches the user interest and hobbies with the field type of the anchor account in the live broadcast room, and then matches the user registration address with the anchor accent attribution; if the interested live broadcast content is not matched, the address information determined based on the GPS positioning information of the user can be matched with the affiliation place of the main broadcast accent according to the login place of the user or the common login address information of the user account can be used for matching; and finally recommending the successfully matched anchor account to the user after the matching is successful.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here. For example, steps S402, S403 may be performed simultaneously or in an alternating order.
The embodiment also provides a user information recommendation system. Fig. 2 is a block diagram of a user information recommendation system according to an embodiment of the present application. Referring to fig. 2, the user information recommendation system includes: the system comprises a data acquisition module, a voice separation module, a home location acquisition module of a main broadcasting account, an information recommendation module and other functional modules. Those skilled in the art will appreciate that the configuration of the user information recommendation system shown in FIG. 2 does not constitute a limitation of the user information recommendation system, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
The following describes each component of the user information recommendation system in detail with reference to fig. 2:
the user information recommendation system 1 includes:
the data acquisition module 11 is used for acquiring an audio file generated by a anchor account and the field type of the anchor account;
the voice separation module 12 is configured to identify an audio file based on a voice separation technology, and separate the audio file to obtain at least one sound object in the audio file and a separated audio file corresponding to each sound object;
the anchor account attribution obtaining module 13 is configured to perform accent recognition on the separated audio file of each sound generating object to obtain an accent attribution of each sound generating object, so as to obtain at least one anchor account attribution;
and the information recommendation module 14 is used for acquiring and matching the preference data and the field type of the user, the address data of the user and the home location of the anchor account at the same time, and recommending the anchor account obtained by matching to the user.
In some embodiments, the anchor account attribution obtaining module 13 further includes: an effective voice segment obtaining module 131, configured to obtain an effective voice segment in each separated audio file based on a voice endpoint detection technology; the voice object region obtaining module 132 is configured to perform an accent analysis on the valid speech segments based on a speech recognition technology, so as to obtain an accent attribution of each voice object. The information recommendation module 14 further comprises: a user data obtaining module 141, configured to obtain preference data and address data of a user; the user preference matching module 142 is used for matching the preference data of the user with the field type of the anchor account to obtain the anchor account matched with the preference of the user; the user address matching module 143 is configured to match address data of the user with a home location of the anchor account to obtain the anchor account matching the user address; and the anchor account recommending module 144 is configured to take an intersection of results obtained by the user preference matching module and the user address matching module, obtain an anchor account which simultaneously matches the user preference and the user address, and recommend the anchor account to the user.
Through the structure, the method and the device have the advantages that the sound production object in the sound production object is analyzed according to the audio file generated by the anchor account and the voice separation is carried out, so that the number of anchors under the anchor account and the anchor place are judged, the anchor account place is confirmed, the problem of impracticality of a recommendation mode of 'nearby anchor' can be effectively solved, the intimacy of a user to the anchor is improved, and the user experience of the user between anchor works and live broadcasts is improved;
meanwhile, the system of the embodiment of the application is not limited to the registration information of the user and the anchor account, but can perform matching recommendation according to the user address and the attribution of the anchor account, so that the recommendation mode is enriched; and the affiliation place of the anchor account can be updated in time when the anchor is changed, so that the flexibility of information recommendation is improved.
It should be noted that the above modules can be functional modules or program modules, and although the system described in the above embodiments is preferably implemented in software, hardware, or a combination of software and hardware is also possible and contemplated. The modules can be located in the same processor; or the modules can be respectively positioned in different processors in any combination.
With reference to the user recommendation method in the foregoing embodiments, an embodiment of the present application may provide a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the user information recommendation method according to the first aspect as described above is implemented. The memory may include, among other things, mass storage for data or instructions. The memory may be used to store or cache various data files for processing and/or communication use, as well as possibly computer program instructions for execution by the processor. The processor reads and executes the computer program instructions stored in the memory to implement any one of the user recommendation methods in the above embodiments.
In addition, in combination with the user recommendation method in the foregoing embodiment, the embodiment of the present application may provide a computer-readable storage medium to implement. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the user recommendation methods in the above embodiments.
According to the user information recommendation method, the system, the computer equipment and the computer readable storage medium, when the anchor account or the live broadcast room is recommended for the user by identifying the vocal attribution of the anchor, matching is carried out based on the field types of the anchor account and the vocal attribution and the interests and addresses of the user, so that the problem that the user cannot hear the dialect of the anchor is solved, the user can have a sense of familiarity with the anchor through the vocal, and the singleton rate is promoted. The embodiment of the application also adopts a mode of identifying the accent of the anchor to confirm the attribution of the accent of the anchor, so that the accent is matched with a user, and the problem that the matching mechanism of the existing live broadcast platform is too single is solved; the existing live broadcast platform matching mechanism only matches according to interests and hobbies and cannot ensure that the language used by the anchor can be understood by users, so that the practicability of the 'nearby anchor' recommendation mode is improved.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A user information recommendation method is characterized by comprising the following steps:
the method comprises the steps of data acquisition, namely acquiring an audio file generated by a anchor account and the field type of the anchor account;
a voice separation step, which is used for identifying the audio file based on a voice separation technology and separating to obtain at least one sound object in the audio file and a separated audio file corresponding to each sound object;
a home location obtaining step of the anchor account, which is used for carrying out accent recognition on the separated audio file of each sound production object to obtain an accent home location of each sound production object, so as to obtain at least one anchor account home location;
and an information recommendation step, which is used for acquiring and simultaneously matching preference data of a user, the field type, address data of the user and the home location of the anchor account, and recommending the anchor account obtained by matching to the user.
2. The method according to claim 1, wherein the step of obtaining affiliation of the anchor account further comprises:
an effective voice segment obtaining step, which is used for obtaining an effective voice segment in each separated audio file based on a voice endpoint detection technology;
and a sound generation object region acquisition step, which is used for carrying out accent analysis on the effective voice fragments based on a voice recognition technology to obtain the accent attribution of each sound generation object.
3. The method of claim 2, wherein the information recommendation step further comprises:
a user data acquisition step for acquiring preference data and address data of a user;
a user preference matching step, which is used for matching the preference data of the user with the field type of the anchor account to obtain the anchor account matched with the user preference;
a user address matching step, which is used for matching the address data of the user with the home location of the anchor account to obtain the anchor account matched with the user address;
and a step of recommending the anchor account, which is used for taking intersection of results obtained in the step of matching the user preference and the user address, obtaining the anchor account which simultaneously matches the user preference and the user address, and recommending the anchor account to the user.
4. The method according to claim 3, wherein the user address information includes but is not limited to: the system comprises one or any combination of user registration address, GPS positioning information or user account common login address information.
5. The method according to claim 1, wherein in the data obtaining step, the audio file is obtained by recording a live room or a work of the anchor account through a recording device, and the recording device includes but is not limited to: recording pen, recorder, built-in recording part.
6. A user information recommendation system, comprising:
the data acquisition module is used for acquiring an audio file generated by a anchor account and the field type of the anchor account;
the voice separation module is used for identifying the audio file based on a voice separation technology and separating to obtain at least one sounding object in the audio file and a separated audio file corresponding to each sounding object;
the anchor account attribution obtaining module is used for carrying out accent recognition on the separated audio file of each sound production object to obtain an accent attribution of each sound production object, so that at least one anchor account attribution is obtained;
and the information recommendation module is used for acquiring and simultaneously matching preference data of the user, the field type, the address data of the user and the home location of the anchor account, and recommending the anchor account obtained by matching to the user.
7. The system of claim 6, wherein the anchor account attribution obtaining module further comprises:
an effective voice segment obtaining module, configured to obtain an effective voice segment in each separated audio file based on a voice endpoint detection technology;
and the voice object region acquisition module is used for carrying out accent analysis on the effective voice fragments based on a voice recognition technology to obtain the accent attribution of each voice object.
8. The system of claim 7, wherein the information recommendation module further comprises:
the user data acquisition module is used for acquiring preference data and address data of a user;
the user preference matching module is used for matching the preference data of the user with the field type of the anchor account to obtain the anchor account matched with the preference of the user;
the user address matching module is used for matching the address data of the user with the home location of the anchor account to obtain the anchor account matched with the user address;
and the anchor account recommending module is used for taking intersection of results obtained by the user preference matching module and the user address matching module to obtain an anchor account which simultaneously matches the user preference and the user address and recommending the anchor account to the user.
9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the user information recommendation method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the user information recommendation method of any one of claims 1 to 5.
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| US20200120390A1 (en) * | 2017-07-07 | 2020-04-16 | Arris Enterprises Llc | Recommending audiovisual content items to a subscriber based on locations visited by the subscriber |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105677722A (en) * | 2015-12-29 | 2016-06-15 | 百度在线网络技术（北京）有限公司 | Method and apparatus for recommending friends in social software |
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