CN115271851B - Video color ring recommending method, system, electronic equipment and storage medium - Google Patents

Video color ring recommending method, system, electronic equipment and storage medium Download PDF

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CN115271851B
CN115271851B CN202210778805.3A CN202210778805A CN115271851B CN 115271851 B CN115271851 B CN 115271851B CN 202210778805 A CN202210778805 A CN 202210778805A CN 115271851 B CN115271851 B CN 115271851B
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color ring
video color
user
vector
determining
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CN115271851A (en
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魏颖鹏
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iMusic Culture and Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/06Buying, selling or leasing transactions
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    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
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    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
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    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/42Systems providing special services or facilities to subscribers
    • H04M3/42017Customized ring-back tones

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Abstract

The application discloses a video color ring recommending method, a system, electronic equipment and a storage medium, wherein the method comprises the steps of receiving user information sent by a user terminal; performing user vectorization construction processing on the user information to determine a user vector; performing video color ring vector construction processing on video color rings in a video color ring platform, and determining a video color ring vector set; matching the user vector with the video color ring vector set to determine a target video color ring; recommending the target video color ring back tone to the user terminal; the embodiment of the application can improve the video color ring recommending effect and can be widely applied to the technical field of color ring recommending.

Description

Video color ring recommending method, system, electronic equipment and storage medium
Technical Field
The application relates to the technical field of color ring back tone recommendation, in particular to a video color ring back tone recommendation method, a video color ring back tone recommendation system, electronic equipment and a storage medium.
Background
When a user makes a voice call or video call under a VoLTE (long term evolution voice bearing) network, a video content that can be seen before a call is put through is a video color ring. Along with popularization and popularization of video color ring service, business video color ring gradually becomes an important means for business clients to display good images and propagation value information of enterprises and social means for individual users to search color ring individuality and display self charm. However, the related technology is difficult to recommend the video color ring aiming at the actual needs of the user, and cannot meet the personalized needs of the user.
In summary, how to individually recommend the video color ring is a technical problem that needs to be solved by those skilled in the art at present.
Disclosure of Invention
In view of this, the embodiment of the application provides a video color ring recommending method, a system, an electronic device and a storage medium, so as to realize personalized video color ring recommendation.
In one aspect, the application provides a video color ring recommending method, which comprises the following steps:
receiving user information sent by a user terminal;
performing user vectorization construction processing on the user information to determine a user vector;
performing video color ring vector construction processing on video color rings in a video color ring platform, and determining a video color ring vector set;
matching the user vector with the video color ring vector set to determine a target video color ring;
and recommending the target video color ring back tone to the user terminal.
Optionally, the receiving the user information sent by the user terminal includes:
the user information at least comprises a user name, user input data and user selection data;
acquiring data bound with the user terminal, and determining the user name;
determining the user input data by receiving the data input in a text input box in the user terminal;
and determining the user selection data by receiving the data selected in the selection frame in the user terminal.
Optionally, the performing a user vectorization construction process on the user information, determining a user vector includes:
the user vector at least comprises a user category, a user label, a user style and a user requirement;
performing word segmentation extraction processing on the user name, and determining the user category;
identifying the user selection data, and determining the user tag and the user style;
and carrying out demand analysis processing on the user input data, and determining the user demand.
Optionally, the performing video color ring vectorization construction processing on the video color ring in the video color ring platform to determine a video color ring vector set includes:
the video color ring vector set comprises video color ring vectors corresponding to video color rings in the video color ring platform;
the video color ring vector comprises video color ring categories, video color ring labels, video color ring styles and video color ring contents;
performing video color ring type analysis processing on the video color ring, and determining the video color ring type;
performing video color ring label analysis processing on the video color ring, and determining the video color ring label;
performing video color ring style analysis processing on the video color ring, and determining the video color ring style;
and analyzing and processing the video color ring content of the video color ring, and determining the video color ring content.
Optionally, the matching the user vector with the video color ring vector set to determine a target video color ring includes:
and carrying out similarity matching calculation on the user vector and each video color ring vector in the video color ring vector set according to a similarity matching formula, and determining a target video color ring.
Optionally, the recommending the target video color ring back tone to the user terminal includes:
determining a download link according to the target video color ring;
and transmitting the download link to the user terminal through the video color ring platform.
On the other hand, the embodiment of the application also discloses a video color ring recommendation system, which comprises:
the first module is used for receiving user information sent by the user terminal;
the second module is used for carrying out user vectorization construction processing on the user information and determining a user vector;
the third module is used for carrying out video color ring vectorization construction processing on the video color ring in the video color ring platform and determining a video color ring vector set;
a fourth module, configured to perform matching processing on the user vector and the video color ring vector set, and determine a target video color ring;
and a fifth module, configured to recommend the target video color ring back tone to the user terminal.
Optionally, the user information at least includes a user name, user input data and user selection data, and the first module is configured to receive user information sent by a user terminal, and includes:
a first unit, configured to obtain data bound with the user terminal, and determine the user name;
a second unit for determining the user input data by receiving the data input in the text input box in the user terminal;
and a third unit for determining the user selection data by receiving the data selected in the selection frame in the user terminal.
Optionally, the user vector at least includes a user category, a user tag, a user style and a user requirement, and the second module is configured to perform a user vectorization construction process on the user information, and determine the user vector, and includes:
a fourth unit, configured to perform word segmentation extraction processing on the user name, and determine the user category;
a fifth unit, configured to perform recognition processing on the user selection data, and determine the user tag and the user style;
and the sixth unit is used for carrying out demand analysis processing on the user input data and determining the user demand.
Optionally, the video color ring vector set includes a video color ring vector corresponding to a video color ring in the video color ring platform, the video color ring vector includes a video color ring category, a video color ring label, a video color ring style and a video color ring content, and the third module is configured to perform video color ring vectorization construction processing on the video color ring in the video color ring platform, and determine the video color ring vector set, including:
a seventh unit, configured to perform video color ring category analysis processing on the video color ring, and determine the video color ring category;
an eighth unit, configured to perform video color ring label analysis processing on the video color ring, and determine the video color ring label;
a ninth unit, configured to perform video color ring style analysis processing on the video color ring, and determine the video color ring style;
and a tenth unit, configured to perform video color ring content analysis processing on the video color ring, and determine the video color ring content.
Optionally, the fourth module is configured to match the user vector with the video color ring vector set, and determine a target video color ring, including:
and the eleventh unit is used for carrying out similarity matching calculation on the user vector and each video color ring vector in the video color ring vector set according to a similarity matching formula to determine a target video color ring.
Optionally, the fifth module is configured to recommend the target video color ring back tone to the user terminal, and includes:
a twelfth unit, configured to determine a download link according to the target video color ring;
and the thirteenth unit is used for sending the download link to the user terminal through the video color ring platform.
On the other hand, the embodiment of the application also discloses electronic equipment, which comprises a processor and a memory;
the memory is used for storing programs;
the processor executes the program to implement the method as described above.
In another aspect, embodiments of the present application also disclose a computer readable storage medium storing a program for execution by a processor to implement a method as described above.
In another aspect, embodiments of the present application also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the foregoing method.
Compared with the prior art, the technical scheme provided by the application has the following technical effects: the embodiment of the application receives the user information sent by the user terminal; performing user vectorization construction processing on the user information to determine a user vector; according to the video color ring recommendation method and device, the vectorization construction is carried out on the user, so that the user demand can be comprehensively analyzed, and the video color ring recommendation effect is improved; in addition, the application carries out video color ring vector construction processing on the video color ring in the video color ring platform to determine a video color ring vector set; matching the user vector with the video color ring vector set to determine a target video color ring; recommending the target video color ring back tone to the user terminal; the application obtains the personalized video color ring of the user by matching the user vector with the video color ring vector, can carry out personalized recommendation on the video color ring, and improves the recommendation effect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a video color ring recommendation method according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Referring to fig. 1, an embodiment of the present application provides a video color ring recommendation method, including:
s101, receiving user information sent by a user terminal;
s102, carrying out user vectorization construction processing on the user information, and determining a user vector;
s103, carrying out video color ring vectorization construction processing on the video color ring in the video color ring platform, and determining a video color ring vector set;
s104, matching the user vector with the video color ring vector set to determine a target video color ring;
s105, recommending the target video color ring back tone to the user terminal.
Specifically, the embodiment of the application carries out vectorization construction on the user information by receiving the user information sent by the user terminal, so as to obtain the user vector describing the user requirement. Meanwhile, the embodiment also carries out vectorization construction on the video color ring in the video color ring platform to obtain a video color ring vector set describing the characteristics of the video color ring. Then, the example matches the user vector with the video color ring vector in the video color ring vector set to obtain the video color ring meeting the user requirement. Finally, the embodiment recommends the obtained target video color ring to the user terminal through the video color ring platform, so that personalized recommendation can be realized for the user, and the recommendation efficiency of the video color ring is improved. It is understood that the user terminal used in this embodiment may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like.
In the embodiments of the present application, when related processing is performed according to user information, user behavior data, user history data, user location information, and other data related to user identity or characteristics, permission or consent of the user is obtained first, and the collection, use, processing, and the like of the data comply with related laws and regulations and standards of related countries and regions. In addition, when the embodiment of the application needs to acquire the sensitive personal information of the user, the independent permission or independent consent of the user is acquired through popup or jump to a confirmation page and the like, and after the independent permission or independent consent of the user is definitely acquired, the necessary relevant data of the user for enabling the embodiment of the application to normally operate is acquired.
Further, in a preferred embodiment, in the step S101, the receiving the user information sent by the user terminal includes:
the user information at least comprises a user name, user input data and user selection data;
acquiring data bound with the user terminal, and determining the user name;
determining the user input data by receiving the data input in a text input box in the user terminal;
and determining the user selection data by receiving the data selected in the selection frame in the user terminal.
Specifically, the user information sent by the user terminal includes a user name, user input data and user selection data, wherein the user name is data bound with the user terminal, and generally when the user performs registration and login, the user inputs the user name after verification, and the user name can be an enterprise name or a personal name. The user input data is data of a text box input by a user at a user terminal, and the text input box displays input prompts, such as: the user is prompted to enter the desired content, which may be a front-end design, not specifically described herein. In addition, the user selects the data in a user terminal selection frame, and the user clicks to select the data. In summary, the user performs an interaction on the user terminal, and the present example receives, through the video color ring platform, the user selection data and the user input data uploaded by the user terminal, and the user name that is verified and bound with the user terminal.
Further, in a preferred embodiment, in the step S102, the performing a user vectorization construction process on the user information to determine a user vector includes:
the user vector at least comprises a user category, a user label, a user style and a user requirement;
performing word segmentation extraction processing on the user name, and determining the user category;
identifying the user selection data, and determining the user tag and the user style;
and carrying out demand analysis processing on the user input data, and determining the user demand.
Specifically, the user vector includes a user category, a user tag, a user style and a user requirement, wherein the user category is data obtained by extracting a word of a user name and identifying the word. In the embodiment of the application, the user name can comprise an enterprise name and a personal name, if the two names exist at the same time, the enterprise name is taken as a main, and the enterprise video color ring and the personal video color ring can be determined by classifying the user name. Because the business name generally consists of four parts, namely a Region (Region), a keyword (X), an industry (I industry) and a company Suffix (org_suffix), the part-of-speech tagging function provided by the word segmentation tool is used in the embodiment, and the industry noun in the user name is extracted to be a color ring type as a user type, such as catering, education, training, medical treatment and the like. If the user name is a personal name, the user category may be set to personal. In the embodiment, the user selection data is identified, and the labels and the styles selected by the user are identified, so that the user labels and the user styles are obtained. In addition, the embodiment also performs demand analysis processing on the user input data, and extracts keywords through an analysis algorithm to obtain the user demand. If the content input by the user is "15 seconds video color ring", the content can be extracted as "15 seconds", and the content input by the user can be directly reserved without extraction processing, so that the user needs to be determined.
Further as a preferred embodiment, in step S103, the performing video color ring vector construction processing on the video color ring in the video color ring platform to determine a video color ring vector set includes:
the video color ring vector set comprises video color ring vectors corresponding to video color rings in the video color ring platform;
the video color ring vector comprises video color ring categories, video color ring labels, video color ring styles and video color ring contents;
performing video color ring type analysis processing on the video color ring, and determining the video color ring type;
performing video color ring label analysis processing on the video color ring, and determining the video color ring label;
performing video color ring style analysis processing on the video color ring, and determining the video color ring style;
and analyzing and processing the video color ring content of the video color ring, and determining the video color ring content.
Specifically, the video color ring vector in the embodiment includes a video color ring category, a video color ring label, a video color ring style and video color ring content, and the embodiment performs video color ring vectorization construction on the video color ring in the video color ring platform, and obtains the video color ring category, such as catering, education, training, personal color ring and the like, through performing category analysis on the video color ring; performing label analysis on the video color ring to obtain video color ring labels such as product popularization, enterprise display, holiday color ring and the like; performing style analysis on the video color ring to obtain the style of the video color ring, such as quadratic element, chinese wind, interesting picture, and the like; and analyzing and processing the video color bell content of the video color bell to obtain the video color bell content, such as summer characteristic food popularization of restaurants and the like.
Further as a preferred embodiment, in step S104, the matching the user vector with the video color ring vector set to determine a target video color ring includes:
and carrying out similarity matching calculation on the user vector and each video color ring vector in the video color ring vector set according to a similarity matching formula, and determining a target video color ring.
Specifically, in the embodiment of the application, the user vector and the video color ring vector are subjected to similarity matching calculation through a similarity matching formula, wherein the similarity matching formula is as follows:
in the above formula, P represents matching similarity; f1 is a first function for defining a exclusive nor operation, the same content being 1, the different content being 0; f (f) 2 As a second function, for calculating cosine similarity between vectors; user vector m= (M 1 M 2 M 3 M 4 ),(M 1 M 2 M 3 M 4 ) The user type, the user label, the user style and the user requirement are respectively; video color bell vector t= (T 1 T 2 T 3 T 4 ),(T 1 T 2 T 3 T 4 ) The method comprises the steps of respectively obtaining video color ring categories, video color ring labels, video color ring styles and video color ring contents; w (w) 1 、w 2 、w 3 、w 4 The color ring type weight value, the color ring label weight value, the color ring style weight value and the content matching weight value are respectively.
Wherein, the weight value of the color ring type, the weight value of the color ring label and the weight value of the color ring style can be freely set, the three weights are related to the color ring type, the color ring label and the color ring style, so the weight value is larger, but the user selects the weight value w as different priorities for the color ring type, the color ring label and the color ring style because the user has different emphasis priorities for the color ring type, the color ring label and the color ring style 1 、w 2 、w 3 The value of (2) will also vary. For example, customer-selected, priority being color ring style>Color bell label>The color ring class will make the weight value w 3 >w 2 >w 1 . The content matching weight value uses the TF-IDF (word frequency-reverse document frequency) technology which is a common weighting algorithm in the VSM model.
Meanwhile, the video color ring sample has an objective value of video praise amount which possibly affects the selection of clients, so that the video color ring sample accounts for 10% of the recommended value. The final recommended value TJ is:
in the above, P is the matching similarity, D is the praise of the video color ring, and D is all viewsTotal praise amount of color ring back tone and weight value w p Weight value w=90: d =10%。
and matching the user vector with all video color rings in the video color ring platform to obtain the video color ring with the highest recommended value, and determining the video color ring as the target video color ring.
Further as a preferred embodiment, in the step S105, the recommending the target video coloring ring back tone to the user terminal includes:
determining a download link according to the target video color ring;
and transmitting the download link to the user terminal through the video color ring platform.
Specifically, the embodiment of the application can obtain the download link according to the target video color ring, and the download link is sent to the user terminal through the video color ring platform, so that personalized recommendation for the user can be completed.
On the other hand, the embodiment of the application also discloses a video color ring recommendation system, which comprises:
the first module is used for receiving user information sent by the user terminal;
the second module is used for carrying out user vectorization construction processing on the user information and determining a user vector;
the third module is used for carrying out video color ring vectorization construction processing on the video color ring in the video color ring platform and determining a video color ring vector set;
a fourth module, configured to perform matching processing on the user vector and the video color ring vector set, and determine a target video color ring;
and a fifth module, configured to recommend the target video color ring back tone to the user terminal.
Further as a preferred embodiment, the user information includes at least a user name, user input data and user selection data, and the first module is configured to receive the user information sent by the user terminal, and includes:
a first unit, configured to obtain data bound with the user terminal, and determine the user name;
a second unit for determining the user input data by receiving the data input in the text input box in the user terminal;
and a third unit for determining the user selection data by receiving the data selected in the selection frame in the user terminal.
Further as a preferred embodiment, the user vector includes at least a user category, a user tag, a user style and a user requirement, and the second module is configured to perform a user vectorization construction process on the user information, and determine the user vector, where the determining includes:
a fourth unit, configured to perform word segmentation extraction processing on the user name, and determine the user category;
a fifth unit, configured to perform recognition processing on the user selection data, and determine the user tag and the user style;
and the sixth unit is used for carrying out demand analysis processing on the user input data and determining the user demand.
Further as a preferred embodiment, the video color ring vector set includes a video color ring vector corresponding to a video color ring in the video color ring platform, the video color ring vector includes a video color ring category, a video color ring label, a video color ring style and a video color ring content, and the third module is configured to perform video color ring vectorization construction processing on the video color ring in the video color ring platform, and determine the video color ring vector set, including:
a seventh unit, configured to perform video color ring category analysis processing on the video color ring, and determine the video color ring category;
an eighth unit, configured to perform video color ring label analysis processing on the video color ring, and determine the video color ring label;
a ninth unit, configured to perform video color ring style analysis processing on the video color ring, and determine the video color ring style;
and a tenth unit, configured to perform video color ring content analysis processing on the video color ring, and determine the video color ring content.
Further as a preferred embodiment, the fourth module is configured to match the user vector with the video color ring vector set, and determine a target video color ring, and includes:
and the eleventh unit is used for carrying out similarity matching calculation on the user vector and each video color ring vector in the video color ring vector set according to a similarity matching formula to determine a target video color ring.
Further as a preferred embodiment, the fifth module is configured to recommend the target video color ring back tone to the user terminal, and includes:
a twelfth unit, configured to determine a download link according to the target video color ring;
and the thirteenth unit is used for sending the download link to the user terminal through the video color ring platform.
Corresponding to the method of fig. 1, the embodiment of the application also provides an electronic device, which comprises a processor and a memory; the memory is used for storing programs; the processor executes the program to implement the method as described above.
Corresponding to the method of fig. 1, an embodiment of the present application also provides a computer-readable storage medium storing a program to be executed by a processor to implement the method as described above.
Embodiments of the present application also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the method shown in fig. 1.
Currently, related technologies provide video color ring through uploading video production, private customization and DIY template production, but the methods are difficult to recommend color ring templates according to actual demands of customers, and meanwhile, as most customers select DIY template production, color ring produced by the same template is difficult to meet the propaganda purpose and the characteristics of enterprises and companies; and the corresponding color users can hardly select a color ring which meets the self requirements and shows individuation.
In summary, the embodiment of the application has the following advantages: according to the embodiment of the application, the user vector is constructed on the user information, the video color ring is constructed on the video color ring, the user vector is matched with the video color ring vector, the video color ring matching the user requirement is obtained, and the video color ring is recommended to the user terminal. According to the embodiment, the user and the video color ring can be analyzed, the video color ring matched with the user and meeting the user requirement is recommended to the user terminal, the use experience of the user is improved, and the recommendation effect of the video color ring is also improved through vectorized matching calculation.
In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present application are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.
Furthermore, while the application is described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the described functions and/or features may be integrated in a single physical device and/or software module or one or more functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present application. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the application as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the application, which is to be defined in the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing 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). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may 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 is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," 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 present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the application, the scope of which is defined by the claims and their equivalents.
While the preferred embodiment of the present application has been described in detail, the present application is not limited to the embodiments described above, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present application, and these equivalent modifications or substitutions are included in the scope of the present application as defined in the appended claims.

Claims (9)

1. The video color ring recommending method is characterized by comprising the following steps of:
receiving user information sent by a user terminal;
performing user vectorization construction processing on the user information to determine a user vector;
performing video color ring vector construction processing on video color rings in a video color ring platform, and determining a video color ring vector set;
matching the user vector with the video color ring vector set to determine a target video color ring;
recommending the target video color ring back tone to the user terminal;
the matching the user vector with the video color ring vector set to determine a target video color ring comprises:
performing similarity matching calculation on the user vector and each video color ring vector in the video color ring vector set according to a similarity matching formula to determine matching similarity;
calculating a recommended value according to the matching similarity to obtain a video color ring with the highest recommended value, and determining a target video color ring;
the similarity matching formula is as follows:
in the above formula, P represents matching similarity; f (f) 1 As a first function for determiningMeaning the same or operation, the same content is 1, and the different content is 0; f (f) 2 As a second function, for calculating cosine similarity between vectors; user vector m= (M 1 M 2 M 3 M 4 ),(M 1 M 2 M 3 M 4 ) The user type, the user label, the user style and the user requirement are respectively; video color bell vector t= (T 1 T 2 T 3 T 4 ),(T 1 T 2 T 3 T 4 ) The method comprises the steps of respectively obtaining video color ring categories, video color ring labels, video color ring styles and video color ring contents; w (w) 1 、w 2 、w 3 、w 4 Respectively a color ring category weight value, a color ring label weight value, a color ring style weight value and a content matching weight value;
the calculation formula of the recommended value TJ is:
wherein P is matching similarity, D is video color ring praise amount, D is total praise amount of all video color rings, and w p To match the similarity weight value, w d Is a praise weight value.
2. The method for recommending video color ring according to claim 1, wherein the receiving the user information sent by the user terminal comprises:
the user information at least comprises a user name, user input data and user selection data;
acquiring data bound with the user terminal, and determining the user name;
determining the user input data by receiving the data input in a text input box in the user terminal; and determining the user selection data by receiving the data selected in the selection frame in the user terminal.
3. The method of claim 2, wherein the performing a user vectorization construction process on the user information to determine a user vector includes:
the user vector at least comprises a user category, a user label, a user style and a user requirement;
performing word segmentation extraction processing on the user name, and determining the user category;
identifying the user selection data, and determining the user tag and the user style;
and carrying out demand analysis processing on the user input data, and determining the user demand.
4. The method for recommending video color ring according to claim 1, wherein the performing video color ring vectorization construction processing on the video color ring in the video color ring platform to determine the video color ring vector set comprises:
the video color ring vector set comprises video color ring vectors corresponding to video color rings in the video color ring platform;
the video color ring vector comprises video color ring categories, video color ring labels, video color ring styles and video color ring contents;
performing video color ring type analysis processing on the video color ring, and determining the video color ring type;
performing video color ring label analysis processing on the video color ring, and determining the video color ring label;
performing video color ring style analysis processing on the video color ring, and determining the video color ring style;
and analyzing and processing the video color ring content of the video color ring, and determining the video color ring content.
5. The method of claim 1, wherein recommending the target video coloring ring back tone to the user terminal comprises:
determining a download link according to the target video color ring;
and transmitting the download link to the user terminal through the video color ring platform.
6. A video color ring back tone recommendation system, comprising:
the first module is used for receiving user information sent by the user terminal;
the second module is used for carrying out user vectorization construction processing on the user information and determining a user vector;
the third module is used for carrying out video color ring vectorization construction processing on the video color ring in the video color ring platform and determining a video color ring vector set;
a fourth module, configured to perform matching processing on the user vector and the video color ring vector set, and determine a target video color ring;
a fifth module, configured to recommend the target video color ring back tone to the user terminal;
the fourth module is configured to match the user vector with the video color ring vector set, and determine a target video color ring, including:
performing similarity matching calculation on the user vector and each video color ring vector in the video color ring vector set according to a similarity matching formula to determine matching similarity;
calculating a recommended value according to the matching similarity to obtain a video color ring with the highest recommended value, and determining a target video color ring;
the similarity matching formula is as follows:
in the above formula, P represents matching similarity; f (f) 1 For the first function, defining the same or operation, wherein the same content is 1, and the different content is 0; f (f) 2 As a second function, for calculating cosine similarity between vectors; user vector m= (M 1 M 2 M 3 M 4 ),(M 1 M 2 M 3 M 4 ) The user type, the user label, the user style and the user requirement are respectively; video color ring directionQuantity t= (T 1 T 2 T 3 T 4 ),(T 1 T 2 T 3 T 4 ) The method comprises the steps of respectively obtaining video color ring categories, video color ring labels, video color ring styles and video color ring contents; w (w) 1 、w 2 、w 3 、w 4 Respectively a color ring category weight value, a color ring label weight value, a color ring style weight value and a content matching weight value;
the calculation formula of the recommended value TJ is:
wherein P is matching similarity, D is video color ring praise amount, D is total praise amount of all video color rings, and w p To match the similarity weight value, w d Is a praise weight value.
7. The video color ring back tone recommendation system of claim 6, wherein the user information includes at least a user name, user input data and user selection data, and the first module is configured to receive the user information sent by the user terminal, and includes:
a first unit, configured to obtain data bound with the user terminal, and determine the user name;
a second unit for determining the user input data by receiving the data input in the text input box in the user terminal;
and a third unit for determining the user selection data by receiving the data selected in the selection frame in the user terminal.
8. An electronic device comprising a processor and a memory;
the memory is used for storing programs;
the processor executing the program to implement the method of any one of claims 1-5.
9. A computer readable storage medium, characterized in that the storage medium stores a program, which is executed by a processor to implement the method of any one of claims 1-5.
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Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101370055A (en) * 2008-09-24 2009-02-18 中国电信股份有限公司 Propelling movement method, platform and system for recommending information of personalized ring back tone
CN103796181A (en) * 2012-11-05 2014-05-14 华为技术有限公司 Playing method of sending message, system and related equipment thereof
CN105760544A (en) * 2016-03-16 2016-07-13 合网络技术(北京)有限公司 Video recommendation method and device
CN106874454A (en) * 2017-02-13 2017-06-20 广东小天才科技有限公司 Ringtone recommendation method and system
CN108009228A (en) * 2017-11-27 2018-05-08 咪咕互动娱乐有限公司 A kind of method to set up of content tab, device and storage medium
CN110069663A (en) * 2019-04-29 2019-07-30 厦门美图之家科技有限公司 Video recommendation method and device
CN110493612A (en) * 2019-08-07 2019-11-22 咪咕动漫有限公司 Processing method, server and the computer readable storage medium of barrage information
CN110532405A (en) * 2019-08-15 2019-12-03 咪咕文化科技有限公司 Multimedia file processing method, communication device and computer readable storage medium
CN111858915A (en) * 2020-08-07 2020-10-30 成都理工大学 Information recommendation method and system based on label similarity
CN112559882A (en) * 2020-12-25 2021-03-26 咪咕音乐有限公司 Method for recommending default video color ring, server and readable storage medium
WO2021139146A1 (en) * 2020-01-09 2021-07-15 平安国际智慧城市科技股份有限公司 Information recommendation method, device, computer-readable storage medium, and apparatus
KR20210130080A (en) * 2020-04-21 2021-10-29 (주)드림어스컴퍼니 Method and Apparatus for Providing Recommended Playlists
CN114358828A (en) * 2021-12-29 2022-04-15 南京晟泰科信息技术有限公司 Method for analyzing and recommending user personalized business polyphonic ringtone through big data
CN114691981A (en) * 2022-03-02 2022-07-01 华南理工大学 Session recommendation method, system, device and storage medium

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9235853B2 (en) * 2012-09-11 2016-01-12 Google Inc. Method for recommending musical entities to a user
CN104980559B (en) * 2014-04-02 2022-01-11 华为技术有限公司 Method and device for setting color ring back tone and determining color ring back tone music
EP3985669A1 (en) * 2020-10-16 2022-04-20 Moodagent A/S Methods and systems for automatically matching audio content with visual input

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101370055A (en) * 2008-09-24 2009-02-18 中国电信股份有限公司 Propelling movement method, platform and system for recommending information of personalized ring back tone
CN103796181A (en) * 2012-11-05 2014-05-14 华为技术有限公司 Playing method of sending message, system and related equipment thereof
CN105760544A (en) * 2016-03-16 2016-07-13 合网络技术(北京)有限公司 Video recommendation method and device
CN106874454A (en) * 2017-02-13 2017-06-20 广东小天才科技有限公司 Ringtone recommendation method and system
CN108009228A (en) * 2017-11-27 2018-05-08 咪咕互动娱乐有限公司 A kind of method to set up of content tab, device and storage medium
CN110069663A (en) * 2019-04-29 2019-07-30 厦门美图之家科技有限公司 Video recommendation method and device
CN110493612A (en) * 2019-08-07 2019-11-22 咪咕动漫有限公司 Processing method, server and the computer readable storage medium of barrage information
CN110532405A (en) * 2019-08-15 2019-12-03 咪咕文化科技有限公司 Multimedia file processing method, communication device and computer readable storage medium
WO2021139146A1 (en) * 2020-01-09 2021-07-15 平安国际智慧城市科技股份有限公司 Information recommendation method, device, computer-readable storage medium, and apparatus
KR20210130080A (en) * 2020-04-21 2021-10-29 (주)드림어스컴퍼니 Method and Apparatus for Providing Recommended Playlists
CN111858915A (en) * 2020-08-07 2020-10-30 成都理工大学 Information recommendation method and system based on label similarity
CN112559882A (en) * 2020-12-25 2021-03-26 咪咕音乐有限公司 Method for recommending default video color ring, server and readable storage medium
CN114358828A (en) * 2021-12-29 2022-04-15 南京晟泰科信息技术有限公司 Method for analyzing and recommending user personalized business polyphonic ringtone through big data
CN114691981A (en) * 2022-03-02 2022-07-01 华南理工大学 Session recommendation method, system, device and storage medium

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