CN115203467A - Song recommendation method, medium, device and computing equipment - Google Patents

Abstract

The embodiment of the disclosure provides a song recommendation method, a song recommendation medium, a song recommendation device and a song recommendation computing device. The method comprises the following steps: receiving first song style information determined by a target user, wherein the first song style information comprises song styles selected by the target user from a song style pool; determining a first song combination according to the historical song behavior information of the target user; determining a second song combination according to the first song style information and the first song combination; recommending the second song combination to the target user. According to the method, the songs which are inclined to the user can be recommended to the user in a customized mode through acquiring the song style selected by the user and according to the song style selected by the user, and therefore user experience is improved.

Description

Song recommendation method, medium, device and computing equipment

Technical Field

Embodiments of the present disclosure relate to the field of multimedia technologies, and in particular, to a song recommendation method, medium, apparatus, and computing device.

Background

This section is intended to provide a background or context to the embodiments of the disclosure. The description herein is not admitted to be prior art by inclusion in this section.

With the development of multimedia technology and the increase in demand for music by users, song recommendation technology is being widely applied to music software and music websites. The song recommending technology can know the hobbies of the user according to the historical behaviors of the user, such as playing songs, collecting songs, commenting songs and the like, so that the songs conforming to the hobbies of the user can be recommended in a directional mode.

Generally, song recommendation is performed by a system according to the historical behavior of listening to songs of a user, and the active preference requirement of the user on recommended songs cannot be met.

Disclosure of Invention

The present disclosure provides a song recommendation method, medium, apparatus, and computing device for customizing recommended songs.

In a first aspect of embodiments of the present disclosure, there is provided a song recommendation method, including: receiving first song style information determined by a target user, wherein the first song style information comprises song styles selected by the target user from a song style pool; determining a first song combination according to the historical song behavior information of the target user; determining a second song combination according to the first song style information and the first song combination; recommending the second song combination to the target user.

In an embodiment of the disclosure, the determining a first song combination according to the historical song behavior information of the target user includes: and determining a first song combination according to at least one of the historical playing songs, the historical collection songs and the historical comment songs of the target user.

In another embodiment of the present disclosure, the determining a second song combination based on the first song style information in combination with the first song comprises: determining second song style information to which songs in the first song combination belong, wherein the second song style information comprises song styles in the song style pool; and determining a second song combination according to the first song style information and the second song style information.

In yet another embodiment of the present disclosure, the determining a second song combination based on the first song style information and the second song style information comprises: according to the second song style information, grouping the songs in the first song combination to obtain a first song group; determining a second song grouping of which the song style accords with the first song style information from the first song grouping; a preset number of songs are determined from the second song group and a second song combination is obtained.

In yet another embodiment of the present disclosure, after determining a second song group having a song style matching the first song style information from the first song group, the method further includes: scoring or sorting songs in a second song group according to the historical song behavior information of the target user; the determining a preset number of songs from the second song group and obtaining a second song combination includes: and determining a preset number of songs with high scores or before sequencing from the second song group, and obtaining a second song combination.

In a second aspect of the disclosed embodiments, there is provided a song recommendation method for a client, including: in response to a first operation, displaying a first operation page, wherein the first operation page comprises a selection area, and the selection area comprises a plurality of song style controls; determining at least one song style in response to a second operation facing the selection area; sending first song style information corresponding to the song style and information of a currently logged-in target user to a server; displaying a song recommendation list page according to a second song combination pushed by the server; and the second song combination is determined by the server according to the first song style information and the historical song behavior information of the currently logged-in target user.

In one embodiment of the present disclosure, the first operation page further includes a display area; and the display area displays a song recommendation list page.

In another embodiment of the present disclosure, the determining at least one song style in response to the second operation facing the selection area includes: in response to a third operation facing the selection area, determining a genre classification and displaying a plurality of song genre labels under the genre classification; at least one song style is determined in response to a second operation of the song style tab facing the selection area.

In a third aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium comprising: the computer-readable storage medium has stored therein computer-executable instructions for implementing the song recommendation method of any one of claims 1 to 8 when executed by a processor.

In a fourth aspect of the disclosed embodiments, there is provided a song recommending apparatus for a server, the apparatus comprising: the device comprises a receiving module, a selecting module and a judging module, wherein the receiving module is used for receiving first song style information determined by a target user, and the first song style information comprises song styles selected by the target user from a song style pool; the processing module is used for determining a first song combination according to the historical song behavior information of the target user; the processing module is further used for determining a second song combination according to the first song style information and the first song combination; and the recommending module is used for recommending the second song combination to the target user.

In an embodiment of the disclosure, the processing module is specifically configured to determine the first song combination according to at least one of a history playing song, a history collection song, and a history comment song of the target user.

In another embodiment of the present disclosure, the processing module is specifically configured to determine second song style information to which a song in the first song combination belongs, where the second song style information includes a song style in the song style pool; the processing module is specifically further configured to determine a second song combination according to the first song style information and the second song style information.

In another embodiment of the present disclosure, the processing module is specifically configured to group songs in the first song combination according to the second song style information to obtain a first song group; the processing module is specifically further used for determining a second song group of which the song style accords with the first song style information from the first song group; the processing module is specifically further configured to determine a preset number of songs from the second song group, and obtain a second song combination.

In yet another embodiment of the present disclosure, the processing module is further configured to score or sort songs in the second song group according to the historical song behavior information of the target user; the processing module is specifically configured to determine a preset number of songs with high scores or before sequencing from the second song group, and obtain a second song combination.

In a fifth aspect of embodiments of the present disclosure, there is provided a song recommending apparatus for a client, including: a display module, configured to display a first operation page in response to a first operation, where the first operation page includes a selection area, and the selection area includes a plurality of song style controls; a determination module for determining at least one song style in response to a second operation directed to the selection area; the sending module is used for sending first song style information corresponding to the song style and information of a currently logged-in target user to a server; the display module is used for displaying a song recommendation list page according to the second song combination pushed by the server; and the second song combination is determined by the server according to the first song style information and the historical song behavior information of the currently logged-in target user.

In one embodiment of the present disclosure, the first operation page further includes a display area; and the display area displays a song recommendation list page.

In another embodiment of the present disclosure, the determining module is specifically configured to determine a genre classification in response to a third operation facing the selection area, and display a plurality of song genre labels under the genre classification; the determining module is specifically further configured to determine at least one song style in response to a second operation of the song style tag directed to the selection area.

In a sixth aspect of embodiments of the present disclosure, there is provided a computing device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the computing device to perform a song recommendation method according to any one of the first aspects of the embodiments of the present disclosure.

According to the embodiment of the disclosure, the songs which are inclined to the user can be recommended to the user in a customized manner by acquiring the song style selected by the user, so that the user experience is improved.

Drawings

The above and other objects, features and advantages of exemplary embodiments of the present disclosure will become readily apparent from the following detailed description, which proceeds with reference to the accompanying drawings. Several embodiments of the present disclosure are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:

fig. 1 schematically shows a schematic diagram of an application scenario according to an embodiment of the present disclosure;

FIG. 2 schematically shows a flow diagram of a method of providing song recommendation according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates an example diagram of determining a second song combination provided according to an embodiment of the present disclosure;

fig. 4 schematically illustrates an example diagram of a method of determining a second song combination provided in accordance with yet another embodiment of the present disclosure;

FIG. 5 schematically shows a flow diagram of a song recommendation method provided according to an embodiment of the present disclosure;

FIG. 6 schematically illustrates an exemplary diagram of a first operation page provided according to an embodiment of the present disclosure;

FIG. 7 schematically illustrates an exemplary diagram of a first operation page provided according to an embodiment of the present disclosure;

FIG. 8 schematically illustrates an exemplary diagram of a first operation page provided according to an embodiment of the present disclosure;

FIG. 9 schematically illustrates a structural diagram of a storage medium provided according to an embodiment of the present disclosure;

fig. 10 schematically shows a structural diagram of a song recommending apparatus provided according to an embodiment of the present disclosure;

fig. 11 schematically shows a structural diagram of a song recommending apparatus provided according to an embodiment of the present disclosure;

fig. 12 schematically shows a structural diagram of a computing device provided according to an embodiment of the present disclosure.

In the drawings, like or corresponding reference characters designate like or corresponding parts.

Detailed Description

The principles and spirit of the present disclosure will be described below with reference to several exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the present disclosure, and are not intended to limit the scope of the present disclosure in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

As will be appreciated by one of skill in the art, embodiments of the present disclosure may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.

According to an embodiment of the disclosure, a method, a medium, an apparatus and a computing device for song recommendation are provided.

In this context, it is to be understood that the terms referred to have the following meanings:

and (3) song recommendation: the music software or music website or music service trader recalls the songs which may be interesting to the user according to the default rules and recommends the songs to the user.

Furthermore, the number of any elements in the drawings is intended to be illustrative and not restrictive, and any nomenclature is used for distinction only and not for any restrictive meaning.

The principles and spirit of the present disclosure are explained in detail below with reference to several representative embodiments thereof.

Summary of The Invention

The inventors have found that in the related art, songs are generally recommended by the system according to default rules. This method has a disadvantage that a case where a genre disliked by the user or a case where a genre liked by the user is lacking among recommended songs occurs, and a song recommended each time is fixed, the user cannot select it according to his own needs.

To solve the above problems. The method and the device have the advantages that the song style selected by the user is obtained, and the songs which are inclined to the user can be recommended to the user in a customized mode according to the song style selected by the user, so that the user experience is improved.

Having described the general principles of the present disclosure, various non-limiting embodiments of the present disclosure are described in detail below.

Application scene overview

Referring first to fig. 1, fig. 1 is a schematic view of an application scenario provided in an embodiment of the present disclosure.

As shown in fig. 1, the system will recommend songs to the user according to the user's behavior data and according to a default rule or algorithm. If the user is not satisfied with the style of the default recommended song, the user can click the style recommendation label or slide the screen to the right to enter a style recommendation interface. And in the style recommendation interface, the user freely selects the style of the song, and the system recommends the song according to the style selected by the user.

Exemplary method

A song recommendation method provided in accordance with an exemplary embodiment of the present disclosure is described below with reference to fig. 2-8 in conjunction with the application scenario of fig. 1. It should be noted that the above application scenarios are only illustrated for the convenience of understanding the spirit and principles of the present disclosure, and the embodiments of the present disclosure are not limited in any way in this respect. Rather, embodiments of the present disclosure may be applied to any scenario where applicable.

The execution subject of the embodiment of the present disclosure may be a song recommending apparatus, and the song recommending apparatus is implemented in various ways. For example, the song recommendation device may be program software; alternatively, the apparatus may be integrated or installed or stored on a physical device, such as a chip, a smart terminal, a computer, a server, a usb disk, and the like.

Referring to fig. 2, fig. 2 is a flowchart illustrating a song recommendation method according to an embodiment of the present disclosure.

As shown in fig. 2, the song recommendation method is applied to a server, and includes:

s201, receiving first song style information determined by a target user, wherein the first song style information comprises song styles selected by the target user from a song style pool.

Wherein the song genres include, but are not limited to: rock, jazz, country, pop, classical, etc. The song style selected by the user may be one or more.

S202, determining a first song combination according to the historical song behavior information of the target user.

Wherein, the songs that are inclined and operated by the user can be found through the historical song behaviors of the user, the characteristics of the songs that are operated by the history of the inclined and operated by the user are extracted, and the first song combination can be recalled according to a recommendation algorithm or a rule. By setting different weights for different historical song behaviors, recalled songs can be ranked, and songs ranked in the front are more inclined songs by the user.

S203, determining a second song combination according to the first song style information and the first song combination.

Wherein the songs in the first song combination include a plurality of genres, when the system recommends songs by default, for example, the top-ranked songs in the first song combination are recommended to the user, but since the ranking algorithm considers all users rather than only the current user and is based on the limited history of listening behavior that does not completely represent the current user's preferences, there may be cases where songs in the genre that the current user does not like are included in the recommended songs, or songs in the genre that the current user likes are not included in the recommended songs. Through obtaining the song style information selected by the user, the songs which accord with the song style selected by the user can be screened from the first song combination in a targeted manner. It will be appreciated that the second combination of songs covers all genres that the user prefers.

And S204, recommending the second song combination to the target user.

The ranking of the second song combination comprises ranking according to the tendency degree of the user to the songs, ranking according to the song style, randomly ranking and the like.

In one example, S202 includes: and determining a first song combination according to at least one of the historical playing songs, the historical collection songs and the historical comment songs of the target user.

As an alternative, different weights may be set for different historical song behaviors, for example, if the historical favorite songs are more likely to reflect the user's tendency to the songs, then relatively high weights may be set for the corresponding features of the historical favorite songs. And further, sequencing the first song combinations according to the corresponding relation between the characteristics and the weights, wherein the sequencing reflects the tendency degree of the user for recommending songs.

It should be noted that, for example, the historical song behavior types may further include historical praise songs, historical search songs, historical share songs, and the like, and the disclosure does not limit the specific types of the historical song behavior information.

Based on the above embodiment, since the number of recommended songs is limited, the songs ranked first are preferentially recommended to better meet the user's preference.

In another example, S203 includes: determining second song style information to which songs in the first song combination belong, wherein the second song style information comprises song styles in the song style pool; and determining a second song combination according to the first song style information and the second song style information.

Determining the second song combination is exemplified in connection with the illustrated example, and referring to fig. 3, fig. 3 is an exemplary diagram of determining the second song combination according to an example of the present disclosure. And obtaining the respective song styles of the songs in the first song combination, namely second song style information by comparing the song style pools. And the first song combination is sorted according to the tendency degree of the user to recommend songs, and when songs are recommended to the user, the songs are sequentially selected from the first song combination according to the sorting. Comparing the first song style information with the second song style information, adding the songs which are in accordance with the first song style information in the first song combination, namely the songs which are in accordance with the style type selected by the user into the second song combination, and skipping the songs which are not in accordance with the first song style information. Until an upper limit on the number of second song combinations is reached.

As an example, for songs in the first song combination, if the song information includes a genre tag corresponding to the song genre pool, the genre tag is read from the song information. And if the song information does not contain the style label corresponding to the song style pool, identifying the style label of the song by comparing the song style pool.

As another example, an upper limit of the number of songs is set for each first song style selected by the user, and the sum of the upper limits of the number of songs respectively corresponding to all the first song styles selected by the user is equal to the upper limit of the number of the second song combination. For example, the upper limit of the number of the second song combinations is set to 30. If the first song style selected by the user is song style 1 and song style 2, 15 songs conforming to song style 1 and 15 songs conforming to song style 2 are selected from the first song combination according to the sequence.

It should be noted that the present disclosure does not limit the specific number of songs recommended for each song genre.

Based on the above embodiment, in combination with the ranking of the first song combination and the first song style selected by the user, songs that both meet the style selected by the user and have high user tendency degree can be recommended, thereby improving the user experience.

In yet another example, the determining a second song combination based on the first song style information and the second song style information comprises: according to the second song style information, grouping the songs in the first song combination to obtain a first song group; determining a second song grouping of which the song style accords with the first song style information from the first song grouping; a preset number of songs is determined from the second song group, and a second song combination is obtained.

Determining the second song combination is exemplified in connection with the illustrated example, and referring to fig. 4, fig. 4 is an example diagram of determining the second song combination according to an example of the present disclosure. The recalled first song combinations are grouped directly by song genre. For example, the first song combination is grouped by the second song genre information, resulting in the following grouping: the song genre 1 group, song genre 2 group, song genre 3 group, and song genre 4 group are the first song group. The first song style selected by the user includes a song style 1 grouping and a song style 2 grouping, the song style 1 grouping and the song style 2 grouping are used as a second song grouping, the upper limit of the number of the second song combinations is set to be 30, for example, 15 songs are selected from the combinations of the song style 1 grouping to be placed into the second song combinations, 15 songs are selected from the combinations of the song style 2 grouping to be placed into the second song combinations, 20 songs are selected from the combinations of the song style 1 grouping to be placed into the second song combinations, 10 songs are selected from the combinations of the song style 2 grouping to be placed into the second song combinations, and the like.

Based on the above embodiment, by the method for grouping the first song combination, songs meeting the style selected by the user can be quickly selected from the corresponding style group of the first song group according to the style information of the first song selected by the user, so that the efficiency is improved.

In yet another example, after determining the second song grouping in which the song genre conforms to the first song genre information from the first song grouping, further comprising: scoring or sequencing songs in a second song group according to the historical song behavior information of the target user; the determining a preset number of songs from the second song group and obtaining a second song combination includes: and determining a preset number of songs with high scores or before sequencing from the second song group, and obtaining a second song combination.

As an alternative implementation, the songs in each second song group are scored or sorted according to the historical song behaviors of the user, and the songs with high scores or the songs with high top ranks are the songs with high tendency of the user. And selecting the songs with high scores in each second song group or adding the top-ranked songs into the second song combination until the preset upper limit of the number of the second song combinations is reached.

Based on the above embodiment, by scoring or sorting the songs in the second song group, and selecting the songs with high scores or the songs with top ranks, the songs with higher user tendency degree can be recommended, so that the user experience is improved.

In an example, referring to fig. 5, fig. 5 is a flowchart illustrating a song recommendation method according to still another embodiment of the present disclosure. As shown in fig. 5, the song recommendation method is applied to a client, and includes:

s501, responding to a first operation, and displaying a first operation page, wherein the first operation page comprises a selection area, and the selection area comprises a plurality of song style controls.

Illustratively, as shown in fig. 6, fig. 6 is an exemplary diagram of a first operation page. In response to the first operation, a first operation page, that is, the style recommendation page in fig. 6, is displayed. The selection area of the first operation page comprises a plurality of song style controls such as hip-hop singing, soft music and rock and roll. It will be appreciated that the selection area is presented directly and the user can make a quick style selection.

As an example, as shown in fig. 7, fig. 7 is a first operation page example diagram. The selection area can be in a folded state, and when the user clicks the expansion control according to the needs of the user, the selection area is expanded, and the user can select the song style in the expanded selection area. In the collapsed state, only the song genres that the user has selected are presented. It can be understood that the selection area is set to the stowed state, and the first operation page is more concise.

It should be noted that the first operation may be a right-sliding screen or a click style recommendation tag, and the disclosure does not limit the specific form of the first operation.

S502, at least one song style is determined in response to the second operation facing the selection area.

Illustratively, as shown in fig. 6, the user selects hip-hop singing, pop and classical song styles. The user selected song genre may be highlighted text, highlighted background, or bolded.

S503, sending the first song style information corresponding to the song style and the information of the currently logged target user to a server.

In the related art, the recommended songs are generally updated once a day in units of days. According to the requirements of the user, the user may tend to different song styles at different times of the day, the updating interval of the recommended songs is not limited by the disclosure, and the user can select the song styles for multiple times on the same day.

S504, displaying a song recommendation list page according to a second song combination pushed by the server; and the second song combination is determined by the server according to the first song style information and the historical song behavior information of the currently logged target user.

Wherein the first song combination may be determined based on historical song behavior information of the user. The second song combination recommended to the user is screened from the first song combination according to the song style selected by the user. In practice, the same song may belong to multiple genres. Songs recommended by the present disclosure may belong to one genre or may belong to multiple genres. For example, as shown in fig. 6, the user selects hip-hop rap, pop and classical song styles, and among the recommended songs, song 1 belongs to both hip-hop rap and pop styles, and song 2 belongs to classical style. It can be understood that songs according with the user preference can be recommended to the user in a customized manner by the song style combination method.

In one example, the first operation page further includes a presentation area; and the display area displays a song recommendation list page.

As an alternative embodiment, as shown in fig. 6, songs 1, 2, 3, 4, and 5 that conform to the genre selected by the user are displayed in the display area of the first operation page.

Based on the above embodiment, compared with the default recommendation mode, the recommended songs displayed according to the style selected by the user are more in line with the user's preference.

In another example, S502 includes: in response to a third operation facing the selection area, determining a genre classification and displaying a plurality of song genre labels under the genre classification; at least one song style is determined in response to a second operation of the song style tab facing the selection area.

As an alternative embodiment, as shown in fig. 8, fig. 8 is a diagram illustrating a first operation page. The style classification includes a melody, a language, an emotion, a rhythm, and the like. Under the category of music scores, the music styles of hip-hop singing, soft music, rock and roll and the like are included. And clicking the emotion classification label by the user, and entering an emotion classification interface, wherein the emotion classification comprises song styles such as sadness, relaxation, joy and the like. A user may select multiple song genres across the genre classification. The recommended songs may be songs that combine multiple song genres or songs that belong to one song genre. For example, the recommended song 4 belongs to the hip-hop singing and relaxing styles, and the song 5 belongs to the cheerful style.

It should be noted that the present disclosure does not limit the specific types of genre classifications and the specific types of song genres.

Based on the above embodiment, by setting multiple style classifications, the user can conveniently and accurately select the inclined song style, thereby improving the user experience.

The song recommendation method provided by the embodiment receives first song style information determined by a target user, wherein the first song style information comprises a song style selected by the target user from a song style pool; determining a first song combination according to the historical song behavior information of the target user; determining a second song combination according to the first song style information and the first song combination; recommending the second song combination to the target user. According to the method, the songs which are inclined to the user can be recommended to the user in a customized mode through acquiring the song style selected by the user and according to the song style selected by the user, and therefore user experience is improved.

Exemplary Medium

Having described the method of the exemplary embodiment of the present disclosure, next, a storage medium of the exemplary embodiment of the present disclosure will be described with reference to fig. 9.

Referring to fig. 9, a storage medium 90 stores therein a program product for implementing the above method according to an embodiment of the present disclosure, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on an apparatus, such as a personal computer. However, the program product of the present disclosure is not limited thereto.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

A readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. The readable signal medium may also be any readable medium other than a readable storage medium.

Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN).

Exemplary devices

After introducing the media of the exemplary embodiment of the present disclosure, next, a song recommending apparatus of the exemplary embodiment of the present disclosure is described with reference to fig. 10 for implementing the method in any of the above method embodiments, which is similar in implementation principle and technical effect and is not described herein again.

Referring to fig. 10, fig. 10 is a schematic structural diagram of a song recommending apparatus according to an embodiment of the present disclosure. As shown in fig. 10, the song recommending apparatus for a server includes:

the receiving module 101 is configured to receive first song style information determined by a target user, where the first song style information includes a song style selected by the target user from a song style pool.

Wherein the song genres include, but are not limited to: rock, jazz, country, pop, classical, etc. The song style selected by the user may be one or more.

And the processing module 102 is configured to determine a first song combination according to the historical song behavior information of the target user.

Wherein, the songs that are inclined to the user and operated by the user can be found through the historical song behaviors of the user, the characteristics of the songs that are inclined to the user and operated by the user are extracted, and the first song combination that is inclined to the user and not operated by the user can be recalled according to a recall recommendation algorithm or rule. By setting different weights for different historical song behaviors, recalled songs can be ranked, and songs in the top ranking are more inclined songs by the user.

The processing module 102 is further configured to determine a second song combination according to the first song style information and the first song combination.

Wherein the songs in the first song combination include a plurality of genres, when the system recommends songs by default, for example, the top-ranked songs in the first song combination are recommended to the user, but since the ranking algorithm considers all users rather than only the current user and is based on the limited history of listening behavior that does not completely represent the current user's preferences, there may be cases where songs in the genre that the current user does not like are included in the recommended songs, or songs in the genre that the current user likes are not included in the recommended songs. Through obtaining the song style information selected by the user, the songs which accord with the song style selected by the user can be screened from the first song combination in a targeted manner. It will be appreciated that the second combination of songs covers all genres preferred by the user.

A recommending module 103, configured to recommend the second song combination to the target user.

The ordering of the second song combination comprises ordering according to the tendency degree of the user to the songs, ordering according to the song style, random ordering and the like.

In one example, the processing module 102 is specifically configured to determine the first song combination according to at least one of a history playing song, a history collection song, and a history comment song of the target user.

In another example, the processing module 102 is specifically configured to determine second song style information to which a song in the first song combination belongs, where the second song style information includes song styles in the song style pool; the processing module 102 is further specifically configured to determine a second song combination according to the first song style information and the second song style information.

In yet another example, the processing module 102 is specifically configured to group songs in the first song combination according to the second song style information to obtain a first song group; the processing module 102 is further specifically configured to determine a second song group from the first song group, where a song style of the second song group conforms to the first song style information; the processing module 102 is further specifically configured to determine a preset number of songs from the second song group, and obtain a second song combination.

In yet another example, the processing module 102 is further configured to score or sort songs in the second song group according to the historical song behavior information of the target user; the processing module 102 is specifically configured to determine a preset number of songs with high scores or before ranking from the second song group, and obtain a second song combination.

In yet another example, referring to fig. 11, fig. 11 is a schematic structural diagram of a song recommending apparatus according to yet another embodiment of the present disclosure. As shown in fig. 11, the song recommending apparatus for a client includes:

the display module 111 is configured to display a first operation page in response to a first operation, where the first operation page includes a selection area, and the selection area includes a plurality of song style controls.

Illustratively, as shown in fig. 6, fig. 6 is an exemplary diagram of a first operation page. In response to the first operation, a first operation page, that is, the style recommendation page in fig. 6, is displayed. The selection area of the first operation page comprises a plurality of song style controls such as hip-hop rap, light music and rock and roll. It will be appreciated that the selection area is presented directly and the user can make a quick style selection.

As an example, as shown in fig. 7, fig. 7 is a first operation page example diagram. The selection area can be in a folded state, and when the user clicks the expansion control according to the needs of the user, the selection area is expanded, and the user can select the song style in the expanded selection area. In the collapsed state, only the song genres that the user has selected are presented. It can be appreciated that the selection area sets the stow state, and the first operation page is more compact.

It should be noted that the first operation may be a right-sliding screen or a click style recommendation tag, and the disclosure does not limit the specific form of the first operation.

A determining module 112 for determining at least one song style in response to a second operation directed to the selection area.

Illustratively, as shown in fig. 6, the user selects hip-hop singing, pop and classical song styles. The user selected song genre may be highlighted text, highlighted background, or bolded.

A sending module 113, configured to send first song style information corresponding to the song style and information of the currently logged-in target user to the server.

In the related art, the recommended songs are generally updated once a day in units of days. According to the requirements of the user, the user may tend to different song styles at different times of the day, the updating interval of the recommended songs is not limited by the disclosure, and the user can select the song styles for multiple times on the same day.

A display module 114, configured to display a song recommendation list page according to the second song combination pushed by the server; and the second song combination is determined by the server according to the first song style information and the historical song behavior information of the currently logged target user.

Wherein the first song combination may be determined based on historical song behavior information of the user. The second song combination recommended to the user is screened from the first song combination according to the song style selected by the user. In practice, the same song may belong to multiple genres. Songs recommended by the present disclosure may belong to one genre or may belong to multiple genres. For example, as shown in fig. 6, the user selects hip-hop singing, pop and classical song styles, and of the recommended songs, song 1 belongs to both hip-hop singing and pop, and song 2 belongs to classical style. It can be understood that songs meeting the user's preference can be customized and recommended to the user by the song style combination method.

In one example, the first operation page further includes a presentation area; and the display area displays a song recommendation list page.

In another example, the determining module 112 is specifically configured to determine a genre classification in response to a third operation facing the selection area, and display a plurality of song genre labels under the genre classification; the determining module 112 is further specifically configured to determine at least one song style in response to a second operation of the song style label facing the selection area.

The song recommending device provided by the embodiment comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving first song style information determined by a target user, and the first song style information comprises a song style selected by the target user from a song style pool; the processing module is used for determining a first song combination according to the historical song behavior information of the target user; the processing module is further used for determining a second song combination according to the first song style information and the first song combination; and the recommending module is used for recommending the second song combination to the target user. According to the method, the songs which are inclined to the user can be recommended to the user in a customized mode through acquiring the song style selected by the user and according to the song style selected by the user, and therefore user experience is improved.

Exemplary computing device

Having described the methods, media, and apparatus of the exemplary embodiments of the present disclosure, a computing device of the exemplary embodiments of the present disclosure is next described with reference to fig. 12.

The computing device 120 shown in fig. 12 is only one example and should not place any limitation on the scope of use and functionality of embodiments of the present disclosure.

As shown in fig. 12, computing device 120 is embodied in the form of a general purpose computing device. Components of computing device 120 may include, but are not limited to: the at least one processing unit 1201 and the at least one storage unit 1202 may be coupled together via a bus 1203 to the various system components including the processing unit 1201 and the storage unit 1202.

The bus 1203 includes a data bus, a control bus, and an address bus.

The storage unit 1202 may include readable media in the form of volatile memory, such as Random Access Memory (RAM) 12021 and/or cache memory 12022, and may further include readable media in the form of non-volatile memory, such as Read Only Memory (ROM) 12023.

The storage unit 1202 may also include a program/utility 12025 having a set (at least one) of program modules 12024, such program modules 12024 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Computing device 120 may also communicate with one or more external devices 1204 (e.g., keyboard, pointing device, etc.). Such communication may occur via input/output (I/O) interfaces 1205. Also, computing device 120 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) through network adapter 1206. As shown in FIG. 12, network adapter 1206 communicates with the other modules of computing device 120 over bus 1203. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computing device 120, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

It should be noted that although in the above detailed description several units/modules or sub-units/modules of the song recommendation apparatus are mentioned, this division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module, in accordance with embodiments of the present disclosure. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.

Further, while the operations of the disclosed methods are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.

While the spirit and principles of the present disclosure have been described with reference to several particular embodiments, it is to be understood that the present disclosure is not limited to the particular embodiments disclosed, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit. The disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims (10)

1. A song recommendation method for a server, comprising:

receiving first song style information determined by a target user, wherein the first song style information comprises song styles selected by the target user from a song style pool;

determining a first song combination according to the historical song behavior information of the target user;

determining a second song combination according to the first song style information and the first song combination;

recommending the second song combination to the target user.

2. The method of claim 1, wherein determining a first song combination based on historical song behavior information of the target user comprises:

and determining a first song combination according to at least one of the historical playing songs, the historical collection songs and the historical comment songs of the target user.

3. The method of claim 1, wherein determining a second song combination based on the first song style information in combination with the first song comprises:

determining second song style information to which songs in the first song combination belong, wherein the second song style information comprises song styles in the song style pool;

and determining a second song combination according to the first song style information and the second song style information.

4. The method of claim 3, wherein determining a second song combination based on the first song style information and the second song style information comprises:

according to the second song style information, grouping the songs in the first song combination to obtain a first song group;

determining a second song grouping of which the song style accords with the first song style information from the first song grouping;

a preset number of songs is determined from the second song group, and a second song combination is obtained.

5. The method of claim 4, wherein after determining a second group of songs from the first group of songs having a song style that matches the first song style information, further comprising:

scoring or sorting songs in a second song group according to the historical song behavior information of the target user;

the determining a preset number of songs from the second song group and obtaining a second song combination includes:

and determining a preset number of songs with high scores or before sequencing from the second song group, and obtaining a second song combination.

6. A song recommendation method for a client side is characterized by comprising the following steps:

in response to a first operation, displaying a first operation page, wherein the first operation page comprises a selection area, and the selection area comprises a plurality of song style controls;

determining at least one song style in response to a second operation facing the selection area;

sending first song style information corresponding to the song style and information of a currently logged-in target user to a server;

displaying a song recommendation list page according to a second song combination pushed by the server; and the second song combination is determined by the server according to the first song style information and the historical song behavior information of the currently logged-in target user.

7. A computer-readable storage medium, comprising: the computer-readable storage medium has stored therein computer-executable instructions for implementing the song recommendation method of any one of claims 1 to 6 when executed by a processor.

8. A song recommendation apparatus for a server, the apparatus comprising:

the device comprises a receiving module, a selecting module and a judging module, wherein the receiving module is used for receiving first song style information determined by a target user, and the first song style information comprises song styles selected by the target user from a song style pool;

the processing module is used for determining a first song combination according to the historical song behavior information of the target user;

the processing module is further used for determining a second song combination according to the first song style information and the first song combination;

and the recommending module is used for recommending the second song combination to the target user.

9. A song recommendation apparatus for a client, comprising:

the display module is used for responding to a first operation and displaying a first operation page, wherein the first operation page comprises a selection area, and the selection area comprises a plurality of song style controls;

a determination module for determining at least one song style in response to a second operation directed to the selection area;

the sending module is used for sending first song style information corresponding to the song style and currently logged target user information to a server;

the display module is used for displaying a song recommendation list page according to a second song combination pushed by the server; and the second song combination is determined by the server according to the first song style information and the historical song behavior information of the currently logged-in target user.

10. A computing device, comprising:

at least one processor;

and a memory communicatively coupled to the at least one processor;

wherein the memory stores instructions executable by the at least one processor to cause the computing device to perform the song recommendation method of any of claims 1-6.

Images