CN112131457A - Information recommendation method, device and system and storage medium - Google Patents
Information recommendation method, device and system and storage medium Download PDFInfo
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- CN112131457A CN112131457A CN201910555294.7A CN201910555294A CN112131457A CN 112131457 A CN112131457 A CN 112131457A CN 201910555294 A CN201910555294 A CN 201910555294A CN 112131457 A CN112131457 A CN 112131457A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
- G06F3/0346—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04847—Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
Abstract
The invention relates to the technical field of computer communication, in particular to an information recommendation method, device, system and storage medium, wherein the method comprises the following steps: the client side responds to the detected swaying action and acquires the identification information of the current playing content of the client side; sending a recommendation request to a server, wherein the recommendation request comprises the identification information; the server acquires at least one candidate recommending user according to the identification information, wherein the difference value between the latest time when the candidate recommending user plays the current playing content and the acquisition time of the recommending request is smaller than or equal to a preset threshold value; generating a candidate recommended user list according to the obtained candidate recommended users; acquiring at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user; acquiring target recommendation information associated with the target recommendation user; and sending the target recommendation information to the client.
Description
Technical Field
The present invention relates to the field of computer communications technologies, and in particular, to an information recommendation method, apparatus, system, and storage medium.
Background
The development of internet technology, especially mobile internet technology, has greatly changed people's work and life, and more people obtain or share various information through the network (for example, various applications). Currently, commonly used methods for acquiring information include: actively searching information through keywords such as information subjects or information contents, and selecting information through modes such as platform recommendation or friend recommendation.
Generally, in order to prevent users from losing, various information platforms often provide an information recommendation function, that is, information content that a certain user may be interested in is recommended to the user, and the user may selectively obtain information that the user is interested in. The friend recommendation mode is that a user clicks buttons of forwarding, sharing and the like to send information which is desired to be shared to a specific friend, and the user can also obtain the information which is shared by the friends in the same mode.
However, because the platform recommendation method only refers to the related information (such as topics and keywords) of the content browsed by the user for recommendation, and recommends the information related to or similar to the content browsed by the user to the user, in practical applications, the habits of some users are very different, and two pieces of information with the same related information are not favored by the user, so the accuracy of recommendation by the information recommendation method is not high. In addition, the interest points of the user and the friends may be different, the information shared by the friends may not be the content in which the user is interested, and the recommendation method lacks interest and cannot attract the user well.
Disclosure of Invention
In view of the foregoing problems in the prior art, an object of the present invention is to provide an information recommendation method, apparatus, system and storage medium, which can improve the efficiency and accuracy of information recommendation and increase the interest of information recommendation.
In order to solve the above problem, the present invention provides an information recommendation method, including:
the client side responds to the detected swaying action and acquires the identification information of the current playing content of the client side; sending a recommendation request to a server, wherein the recommendation request comprises the identification information;
the server acquires at least one candidate recommending user according to the identification information, wherein the difference value between the latest time when the candidate recommending user plays the current playing content and the acquisition time of the recommending request is smaller than or equal to a preset threshold value; generating a candidate recommended user list according to the obtained candidate recommended users; acquiring at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user; acquiring target recommendation information associated with the target recommendation user; and sending the target recommendation information to the client.
Another aspect of the present invention provides an information recommendation method, including:
acquiring a recommendation request sent by a client, wherein the recommendation request comprises identification information of currently played content acquired by the client in response to a detected swaying action;
acquiring at least one candidate recommending user according to the identification information, wherein the difference value between the latest time for the candidate recommending user to play the current playing content and the acquisition time of the recommending request is less than or equal to a preset threshold value;
generating a candidate recommended user list according to the obtained candidate recommended users;
acquiring at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user;
acquiring target recommendation information associated with the target recommendation user;
and sending the target recommendation information to the client.
Another aspect of the present invention provides an information recommendation method, including:
responding to the detected swaying action, and acquiring the identification information of the currently played content;
sending a recommendation request to a server, wherein the recommendation request comprises the identification information, so that the server obtains at least one candidate recommendation user according to the identification information, a difference value between the latest time when the candidate recommendation user plays the current playing content and the obtaining time of the recommendation request is smaller than or equal to a preset threshold value, generating a candidate recommendation user list according to the obtained candidate recommendation user, obtaining at least one candidate recommendation user from the candidate recommendation user list as a target recommendation user through a preset algorithm, obtaining target recommendation information associated with the target recommendation user, and returning the target recommendation information.
Another aspect of the present invention provides an information recommendation apparatus, including:
the recommendation request acquisition module is used for acquiring a recommendation request sent by a client, wherein the recommendation request comprises identification information of currently played content acquired by the client in response to the detected swaying action;
a candidate recommending user obtaining module, configured to obtain at least one candidate recommending user according to the identification information, where a difference between a latest time when the candidate recommending user plays the currently played content and an obtaining time of the recommending request is less than or equal to a preset threshold;
the candidate recommending user list generating module is used for generating a candidate recommending user list according to the obtained candidate recommending users;
the target recommending user obtaining module is used for obtaining at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user;
the target recommendation information acquisition module is used for acquiring target recommendation information associated with the target recommendation user;
and the target recommendation information sending module is used for sending the target recommendation information to the client.
Another aspect of the present invention provides an information recommendation apparatus, including:
the identification information acquisition module is used for responding to the detected swaying action and acquiring the identification information of the currently played content;
a recommendation request sending module, configured to send a recommendation request to a server, where the recommendation request includes the identification information, so that the server obtains at least one candidate recommendation user according to the identification information, where a difference between a latest time when the candidate recommendation user plays the current playing content and an obtaining time of the recommendation request is less than or equal to a preset threshold, generates a candidate recommendation user list according to the obtained candidate recommendation user, obtains at least one candidate recommendation user from the candidate recommendation user list as a target recommendation user through a preset algorithm, obtains target recommendation information associated with the target recommendation user, and returns the target recommendation information.
Another aspect of the present invention provides an information recommendation system, including:
the client is used for responding to the detected swaying action and acquiring the identification information of the current playing content of the client; sending a recommendation request to a server, wherein the recommendation request comprises the identification information;
the server is used for acquiring at least one candidate recommended user according to the identification information, and the difference value between the latest time when the candidate recommended user plays the current playing content and the acquisition time of the recommendation request is less than or equal to a preset threshold value; generating a candidate recommended user list according to the obtained candidate recommended users; acquiring at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user; acquiring target recommendation information associated with the target recommendation user; and sending the target recommendation information to the client.
Another aspect of the present invention provides a server, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a set of codes, or a set of instructions, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by the processor to implement the information recommendation method as described above.
Another aspect of the present invention provides a terminal, which includes a processor and a memory, where at least one instruction, at least one program, a code set, or a set of instructions is stored in the memory, and the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by the processor to implement the information recommendation method as described above.
Another aspect of the present invention provides a computer-readable storage medium having at least one instruction, at least one program, a set of codes, or a set of instructions stored therein, which is loaded and executed by a processor to implement the information recommendation method as described above.
Due to the technical scheme, the invention has the following beneficial effects:
according to the information recommendation method, device, system and storage medium, when a user wants to acquire an interested content in the process of browsing information, the user does not need to perform additional search operation or wait for sharing of others, only needs to perform simple operations such as shaking and the like, can conveniently and quickly acquire the related information of other users similar to the interest point of the user, and can store the related information. The time of the user can be saved, the information recommendation efficiency is improved, the interest points of the user are better met, the information recommendation accuracy is improved, the interestingness of the information recommendation can be increased, and the user experience is improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description of the embodiment or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of an implementation environment provided by an embodiment of the invention;
FIG. 2 is a flow chart of an information recommendation method provided by an embodiment of the invention;
FIG. 3 is a flow chart of an information recommendation method according to another embodiment of the invention;
fig. 4A and 4B are schematic diagrams of interfaces involved in an information recommendation method according to an embodiment of the present invention;
FIG. 5 is a flowchart of an information recommendation method according to another embodiment of the present invention;
FIG. 6 is a flow chart of an information recommendation method according to another embodiment of the invention;
fig. 7 is a schematic structural diagram of an information recommendation apparatus according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an information recommendation apparatus according to another embodiment of the present invention;
fig. 9 is a schematic structural diagram of a terminal according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, apparatus, article, or device that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or device.
Referring to fig. 1 of the specification, a schematic diagram of an implementation environment provided by an embodiment of the present invention is shown, and as shown in fig. 1, the implementation environment may include at least a client 110 and a server 120.
The client 110 may include a smart phone, a tablet computer, an e-book reader, an MP3(Moving Picture Experts group audio Layer III) player, an MP4(Moving Picture Experts group audio Layer IV, Moving Picture Experts group audio Layer 4) player, a laptop, a desktop computer, and other physical devices, and may also include software running in the physical devices, such as web pages provided by some service providers to users, and applications provided by these service providers to users.
The server 120 may be a server operating independently, a server cluster composed of a plurality of servers, or a cloud computing service center. The server 120 may include a network communication unit, a processor, a memory, and the like. The server 120 may establish a communication connection with the client 110 through a wireless or wired network.
In the embodiment of the present invention, the client 110 may be any client that provides information services for users. For example, the client may be a video playing client, a music playing client, a reading type client, and the like.
Referring to the specification and fig. 2, a flow of an information recommendation method according to an embodiment of the present invention is shown. The method may be applied to the implementation environment shown in fig. 1. As shown in fig. 2, the method may include the steps of:
s201: and the client side responds to the detected swaying action and acquires the identification information of the current playing content of the client side.
In this embodiment of the present invention, the currently played content may include a currently played video, a currently played music, a currently played electronic book, and the like, and correspondingly, the identification information may include a video identifier, an audio identifier, a book identifier, and the like.
In this embodiment of the present invention, before the client acquires the identification information of the content currently played by the client in response to the detected pan/drag action, the method may further include the following steps:
after a client acquires a trigger instruction for acquiring recommendation information, detecting movement data of the client, wherein the movement data comprises movement amplitude information and movement frequency information;
and if the movement amplitude information is greater than or equal to a preset amplitude and the movement time information is greater than or equal to a preset time, determining that the dragging action is detected.
In the embodiment of the invention, corresponding function buttons can be arranged in the client sides of the terminal, such as a video playing client side, a music playing client side, a reading client side and the like, and a user can generate a trigger instruction for requesting to acquire recommendation information for the client sides by clicking the function buttons. By the method, the information recommendation process can be prevented from being triggered by mistake when the mobile phone is moved or shaken.
In a specific embodiment, the acceleration of the client can be obtained through a sensor, the acceleration components of three coordinate axes are recorded, the distance between the starting position and the ending position in the same shaking direction is calculated according to the acceleration components, and when the distance between the starting position and the ending position in the same shaking direction is greater than or equal to a preset distance, the movement amplitude information is judged to be greater than or equal to a preset amplitude. It is also possible to count the number of movements with a movement amplitude greater than or equal to a preset amplitude within a preset time period, and determine that the sway motion is detected when the number of movements is greater than or equal to a preset number (e.g., 3).
S202: and the client sends a recommendation request to the server, wherein the recommendation request comprises the identification information.
Correspondingly, the server receives the recommendation request sent by the client.
In the embodiment of the present invention, the recommendation request is used to request a server to recommend information associated with the identification information.
S203: and the server acquires at least one candidate recommending user according to the identification information, wherein the difference value between the latest time for the candidate recommending user to play the current playing content and the acquisition time of the recommending request is less than or equal to a preset threshold value.
In a possible embodiment, as shown in fig. 3, the obtaining, by the server, at least one candidate recommended user according to the identification information, where a difference between a latest time when the candidate recommended user plays the currently played content and an obtaining time of the recommendation request is less than or equal to a preset threshold value, may include the following steps:
s301: and acquiring a play record for recording the access behavior of the user to the file corresponding to the identification information.
In the embodiment of the invention, when a user accesses a file, a play record can be generated and stored according to the access behavior, and the play record can comprise correspondingly stored file identification information, access time, user information and other information. And the server can acquire the playing record of the current playing content according to the identification information after receiving the recommendation request.
S302: and generating a time window according to the acquisition time of the recommendation request and the preset threshold value.
In the embodiment of the present invention, the server may record the time when the recommendation request is received, and the preset threshold may be set as required, for example, may be set to one hour, and may also be set to one second.
S303: and extracting a target record in the playing records, wherein the generation time of the target record is positioned in the time window.
S304: and acquiring user information corresponding to the target record as a candidate recommending user.
In the embodiment of the present invention, based on the length set by the preset threshold, the candidate recommended user may be a user who has accessed the currently played content within a preset time threshold, or may be a user who is currently accessing the currently played content.
S204: and the server generates a candidate recommended user list according to the acquired candidate recommended users.
In the embodiment of the invention, after the server acquires the candidate recommended users, repeated candidate recommended users can be removed first, and a candidate recommended user list is produced based on the candidate recommended users after the duplication removal.
S205: and the server acquires at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user.
In the embodiment of the present invention, the server may randomly obtain at least one candidate recommended user from the candidate recommended user list as a target recommended user.
In a possible embodiment, the server may further obtain activity information of candidate recommending users in the candidate recommending user list, where the activity information may include information such as user login times/duration, access amount (which may include access amount of other users accessing the candidate recommending users and access amount of the candidate recommending users accessing other users), and barrage amount (number of barrages issued by the candidate recommending users), and according to the activity information, the candidate recommending users in the candidate recommending user list are subjected to activity ranking, and one or more candidate recommending users located at the top of the activity ranking are obtained as target recommending users.
S206: and the server acquires target recommendation information associated with the target recommendation user.
In this embodiment of the present invention, the target recommendation information may include user information of the target recommendation user, and may further include information related to the currently played content, such as local video list information, song list information, book list information, and the like of the target recommendation user.
S207: and the server sends the target recommendation information to the client.
In the embodiment of the present invention, the server may send a recommendation message of the target recommendation information to the client; after a trigger signal corresponding to the recommendation message is acquired, sending the target recommendation information to the client; or, the recommendation message includes a viewing control for viewing the target recommendation information; and after a trigger signal corresponding to the viewing control is acquired, sending the target recommendation information to the client.
S208: and the client receives and displays the target recommendation information.
In the embodiment of the invention, the recommendation message can be sent to the client in a pop-up window mode, the recommendation message comprises a viewing control used for viewing the target recommendation information, and the target recommendation information is obtained and displayed from the server after the client obtains the click operation corresponding to the viewing control.
In a specific embodiment, with reference to the accompanying drawings of fig. 4A and 4B, which are schematic diagrams illustrating an interface related to an information recommendation method provided by an embodiment of the present invention, it is assumed that a song is taken as an example for recommendation. As shown in fig. 4A, the client displays a song playing page 41, the song playing page 41 includes an operation control 42 for acquiring song recommendation information, after a trigger signal corresponding to the operation control 42 is acquired, a shaking interface 43 is displayed, the mobile data of the client is detected under the shaking interface 43, and when it is detected that the user shakes the mobile phone 3 quickly, the information recommendation process is triggered to acquire song recommendation information.
As shown in fig. 4B, after receiving a recommendation message sent by the server, the client displays the recommendation message in a recommendation message pop-up window 44, where the recommendation message pop-up window 44 includes an operation control 45 for viewing song list information of the target recommendation user, the user clicks the operation control 45 to trigger display of a song list information page 46 of the target recommendation user, the song list information page 46 includes a song list control 47, the user clicks the song list control 47 to trigger display of a song information page 48, and the song information page 48 includes a collection control 49 for collecting songs in the song list.
In a possible embodiment, the recommendation message may be sent to the client in a pop-up window manner, the client receives the recommendation message and then displays the recommendation message in a designated interface, and after the client obtains a click operation corresponding to the recommendation message, the client obtains and displays the target recommendation information from the server.
In one possible embodiment, the method may further include: and after the client acquires the collection instruction corresponding to the target recommendation information, storing the target recommendation information. Specifically, the display page of the target recommendation information may include a collection control for collecting the target recommendation information, a user clicks the collection control to trigger a collection instruction, and the client stores the target recommendation information to the local after acquiring the collection instruction.
Refer to the description and fig. 5, which shows a flow of an information recommendation method according to another embodiment of the present invention. The method can be applied to a server. The method may comprise the steps of:
s501: the method comprises the steps of obtaining a recommendation request sent by a client, wherein the recommendation request comprises identification information of currently played content obtained by the client in response to a detected swaying action.
S502: and acquiring at least one candidate recommended user according to the identification information, wherein the difference value between the latest time for the candidate recommended user to play the current playing content and the acquisition time of the recommendation request is less than or equal to a preset threshold value.
S503: and generating a candidate recommended user list according to the acquired candidate recommended users.
S504: and acquiring at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user.
S505: and acquiring target recommendation information associated with the target recommendation user.
S506: and sending the target recommendation information to the client.
Refer to the description and fig. 6, which shows a flow of an information recommendation method according to another embodiment of the present invention. The method can be applied to a client. The method may comprise the steps of:
s601: and acquiring the identification information of the currently played content in response to the detected swaying action.
S602: sending a recommendation request to a server, wherein the recommendation request comprises the identification information, so that the server obtains at least one candidate recommendation user according to the identification information, a difference value between the latest time when the candidate recommendation user plays the current playing content and the obtaining time of the recommendation request is smaller than or equal to a preset threshold value, generating a candidate recommendation user list according to the obtained candidate recommendation user, obtaining at least one candidate recommendation user from the candidate recommendation user list as a target recommendation user through a preset algorithm, obtaining target recommendation information associated with the target recommendation user, and returning the target recommendation information.
In one possible embodiment, the method may further comprise the step of:
s603: and receiving and displaying the target recommendation information.
In summary, the information recommendation method provided in the embodiment of the present invention enables a user to conveniently and quickly obtain relevant information of other users similar to the user interest point without performing additional search operations or waiting for sharing of others when the user wants to obtain an interested content in the process of browsing information, and by performing simple operations such as shaking, and the like, and can store the relevant information. The time of the user can be saved, the information recommendation efficiency is improved, the interest points of the user are better met, the information recommendation accuracy is improved, the interestingness of the information recommendation can be increased, and the user experience is improved.
Referring to fig. 7, a schematic structural diagram of an information recommendation device 700 according to an embodiment of the present invention is shown. The apparatus 700 has a function of implementing the server side in the above method embodiments, and the function may be implemented by hardware, or may be implemented by hardware executing corresponding software. The apparatus 700 may include:
a recommendation request obtaining module 710, configured to obtain a recommendation request sent by a client, where the recommendation request includes identification information of a currently played content, where the identification information is obtained by the client in response to the detected pan action.
A candidate recommended user obtaining module 720, configured to obtain at least one candidate recommended user according to the identification information, where a difference between a latest time when the candidate recommended user plays the currently played content and an obtaining time of the recommendation request is less than or equal to a preset threshold.
And a candidate recommended user list generating module 730, configured to generate a candidate recommended user list according to the obtained candidate recommended users.
And the target recommended user obtaining module 740 is configured to obtain at least one candidate recommended user from the candidate recommended user list as a target recommended user through a preset algorithm.
And a target recommendation information obtaining module 750, configured to obtain target recommendation information associated with the target recommendation user.
And a target recommendation information sending module 760, configured to send the target recommendation information to the client.
Please refer to fig. 8 in the specification, which shows a schematic structural diagram of an information recommendation device 800 according to another embodiment of the present invention. The apparatus 800 has functions of implementing the client side in the above method embodiments, and the functions may be implemented by hardware, or by hardware executing corresponding software. The apparatus 800 may include:
and the identification information acquisition module 810 is configured to acquire identification information of the currently played content in response to the detected flicking motion.
A recommendation request sending module 820, configured to send a recommendation request to a server, where the recommendation request includes the identification information, so that the server obtains at least one candidate recommendation user according to the identification information, where a difference between a latest time when the candidate recommendation user plays the current playing content and an obtaining time of the recommendation request is less than or equal to a preset threshold, generates a candidate recommendation user list according to the obtained candidate recommendation user, obtains at least one candidate recommendation user from the candidate recommendation user list as a target recommendation user through a preset algorithm, obtains target recommendation information associated with the target recommendation user, and returns the target recommendation information.
In one possible embodiment, the apparatus 800 may further include:
and a target recommendation information receiving module 830, configured to receive and display the target recommendation information.
An embodiment of the present invention further provides an information recommendation system, which may include a client and a server.
The client is used for responding to the detected swaying action and acquiring the identification information of the current playing content of the client; and sending a recommendation request to a server, wherein the recommendation request comprises the identification information.
The server is used for acquiring at least one candidate recommended user according to the identification information, and the difference value between the latest time when the candidate recommended user plays the current playing content and the acquisition time of the recommendation request is less than or equal to a preset threshold value; generating a candidate recommended user list according to the obtained candidate recommended users; acquiring at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user; acquiring target recommendation information associated with the target recommendation user; and sending the target recommendation information to the client.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above.
An embodiment of the present invention further provides a terminal, where the terminal includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the client-side information recommendation method provided in the foregoing method embodiment.
In a specific embodiment, as shown in fig. 9, a schematic structural diagram of a terminal provided in an embodiment of the present invention is shown. The terminal 900 can include components such as memory 910 for one or more computer-readable storage media, processor 920 for one or more processing cores, input unit 930, display unit 940, Radio Frequency (RF) circuitry 950, wireless fidelity (WiFi) module 960, and power 970. Those skilled in the art will appreciate that the terminal architecture shown in fig. 9 is not intended to be limiting of terminal 900, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the memory 910 may be used to store software programs and modules, and the processor 920 may execute various functional applications and data processing by operating or executing the software programs and modules stored in the memory 910 and calling data stored in the memory 910. The memory 910 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the terminal, and the like. In addition, the memory 910 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device. Accordingly, the memory 910 may also include a memory controller to provide the processor 920 with access to the memory 910.
The processor 920 is a control center of the terminal 900, connects various parts of the entire terminal using various interfaces and lines, and performs various functions of the terminal 900 and processes data by operating or executing software programs and/or modules stored in the memory 910 and calling data stored in the memory 910, thereby performing overall monitoring of the terminal 900. The Processor 920 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input unit 930 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. Specifically, the input unit 930 may include an image input device 931 and other input devices 932. The image input device 931 may be a camera or a photoelectric scanning device. The input unit 930 may include other input devices 932 in addition to the image input device 931. In particular, other input devices 932 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 940 may be used to display information input by or provided to the user and various graphic user interfaces of the terminal, which may be configured by graphics, text, icons, video, and any combination thereof. The Display unit 940 may include a Display panel 941, and optionally, the Display panel 941 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The RF circuit 950 may be used for receiving and transmitting signals during a message transmission or communication process, and in particular, for receiving downlink messages of a base station and then processing the received downlink messages by one or more processors 920; in addition, data relating to uplink is transmitted to the base station. In general, RF circuitry 950 includes, but is not limited to, an antenna, at least one Amplifier, a tuner, one or more oscillators, a Subscriber Identity Module (SIM) card, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuitry 950 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Message Service (SMS), and the like.
WiFi belongs to short-range wireless transmission technology, and the terminal 900 can help the user send and receive e-mails, browse web pages, access streaming media, etc. through the WiFi module 960, and it provides the user with wireless broadband internet access. Although fig. 9 shows the WiFi module 960, it is understood that it does not belong to the essential constitution of the terminal 900, and can be omitted entirely as needed within the scope not changing the essence of the invention.
The terminal 900 also includes a power supply 970 (e.g., a battery) for providing power to the various components, which may be logically coupled to the processor 920 via a power management system, such that the power management system may manage charging, discharging, and power consumption. Power source 970 may also include any component including one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
It should be noted that, although not shown, the terminal 900 may further include a bluetooth module, etc., which is not described herein again.
An embodiment of the present invention further provides a server, where the server includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the server-side information recommendation method provided in the above method embodiment.
The memory may be used to store software programs and modules, and the processor may execute various functional applications and data processing by operating the software programs and modules stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs needed by functions and the like; the storage data area may store data created according to use of the apparatus, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory may also include a memory controller to provide the processor access to the memory.
In a specific embodiment, as shown in fig. 10, it shows a schematic structural diagram of a server provided in an embodiment of the present invention. The server is used for implementing the server-side information recommendation method provided in the above embodiment. The server 1000, which may vary widely in configuration or performance, may include one or more Central Processing Units (CPUs) 1010 (e.g., one or more processors) and memory 1030, one or more storage media 1020 (e.g., one or more mass storage devices) storing applications 1023 or data 1022. Memory 1030 and storage media 1020 may be, among other things, transient or persistent storage. The program stored in the storage medium 1020 may include one or more modules, each of which may include a series of instruction operations for a server. Still further, the central processor 1010 may be configured to communicate with the storage medium 1020 and execute a series of instruction operations in the storage medium 1020 on the server 1000. The server 1000 may also include one or more power supplies 1060, one or more wired or wireless network interfaces 1050, one or more input-output interfaces 1040, and/or one or more operating systems 1021, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.
An embodiment of the present invention further provides a computer-readable storage medium, where at least one instruction, at least one program, a code set, or a set of instructions is stored in the storage medium, and the at least one instruction, the at least one program, the code set, or the set of instructions is executable by a processor of a terminal to perform the steps at the client side in the above-mentioned method embodiment, or is executable by a processor of a server to perform the steps at the server side in the above-mentioned method embodiment.
Optionally, in an embodiment of the present invention, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the device, terminal and server embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An information recommendation method, comprising:
the client side responds to the detected swaying action and acquires the identification information of the current playing content of the client side; sending a recommendation request to a server, wherein the recommendation request comprises the identification information;
the server acquires at least one candidate recommending user according to the identification information, wherein the difference value between the latest time when the candidate recommending user plays the current playing content and the acquisition time of the recommending request is smaller than or equal to a preset threshold value; generating a candidate recommended user list according to the obtained candidate recommended users; acquiring at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user; acquiring target recommendation information associated with the target recommendation user; and sending the target recommendation information to the client.
2. The method of claim 1, wherein before the client acquires the identification information of the content currently played by the client in response to the detected pan action, the method further comprises:
after a client acquires a trigger instruction for acquiring recommendation information, detecting movement data of the client, wherein the movement data comprises movement amplitude information and movement frequency information;
and if the movement amplitude information is greater than or equal to a preset amplitude and the movement time information is greater than or equal to a preset time, determining that the dragging action is detected.
3. The method of claim 1 or 2, further comprising:
the client receives and displays the target recommendation information;
and after the client acquires the collection instruction corresponding to the target recommendation information, storing the target recommendation information.
4. An information recommendation method, comprising:
acquiring a recommendation request sent by a client, wherein the recommendation request comprises identification information of currently played content acquired by the client in response to a detected swaying action;
acquiring at least one candidate recommending user according to the identification information, wherein the difference value between the latest time for the candidate recommending user to play the current playing content and the acquisition time of the recommending request is less than or equal to a preset threshold value;
generating a candidate recommended user list according to the obtained candidate recommended users;
acquiring at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user;
acquiring target recommendation information associated with the target recommendation user;
and sending the target recommendation information to the client.
5. The method according to claim 4, wherein the obtaining at least one candidate recommended user according to the identification information, and the difference between the latest time of the candidate recommended user playing the currently played content and the obtaining time of the recommendation request being less than or equal to a preset threshold value comprises:
acquiring a play record for recording the access behavior of a user to the file corresponding to the identification information;
generating a time window according to the acquisition time of the recommendation request and the preset threshold;
extracting a target record in the playing records, wherein the generation time of the target record is positioned in the time window;
and acquiring user information corresponding to the target record as a candidate recommending user.
6. An information recommendation method, comprising:
responding to the detected swaying action, and acquiring the identification information of the currently played content;
sending a recommendation request to a server, wherein the recommendation request comprises the identification information, so that the server obtains at least one candidate recommendation user according to the identification information, a difference value between the latest time when the candidate recommendation user plays the current playing content and the obtaining time of the recommendation request is smaller than or equal to a preset threshold value, generating a candidate recommendation user list according to the obtained candidate recommendation user, obtaining at least one candidate recommendation user from the candidate recommendation user list as a target recommendation user through a preset algorithm, obtaining target recommendation information associated with the target recommendation user, and returning the target recommendation information.
7. An information recommendation apparatus, comprising:
the recommendation request acquisition module is used for acquiring a recommendation request sent by a client, wherein the recommendation request comprises identification information of currently played content acquired by the client in response to the detected swaying action;
a candidate recommending user obtaining module, configured to obtain at least one candidate recommending user according to the identification information, where a difference between a latest time when the candidate recommending user plays the currently played content and an obtaining time of the recommending request is less than or equal to a preset threshold;
the candidate recommending user list generating module is used for generating a candidate recommending user list according to the obtained candidate recommending users;
the target recommending user obtaining module is used for obtaining at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user;
the target recommendation information acquisition module is used for acquiring target recommendation information associated with the target recommendation user;
and the target recommendation information sending module is used for sending the target recommendation information to the client.
8. An information recommendation apparatus, comprising:
the identification information acquisition module is used for responding to the detected swaying action and acquiring the identification information of the currently played content;
a recommendation request sending module, configured to send a recommendation request to a server, where the recommendation request includes the identification information, so that the server obtains at least one candidate recommendation user according to the identification information, where a difference between a latest time when the candidate recommendation user plays the current playing content and an obtaining time of the recommendation request is less than or equal to a preset threshold, generates a candidate recommendation user list according to the obtained candidate recommendation user, obtains at least one candidate recommendation user from the candidate recommendation user list as a target recommendation user through a preset algorithm, obtains target recommendation information associated with the target recommendation user, and returns the target recommendation information.
9. An information recommendation system, comprising:
the client is used for responding to the detected swaying action and acquiring the identification information of the current playing content of the client; sending a recommendation request to a server, wherein the recommendation request comprises the identification information;
the server is used for acquiring at least one candidate recommended user according to the identification information, and the difference value between the latest time when the candidate recommended user plays the current playing content and the acquisition time of the recommendation request is less than or equal to a preset threshold value; generating a candidate recommended user list according to the obtained candidate recommended users; acquiring at least one candidate recommending user from the candidate recommending user list through a preset algorithm to serve as a target recommending user; acquiring target recommendation information associated with the target recommendation user; and sending the target recommendation information to the client.
10. A computer-readable storage medium, wherein at least one instruction, at least one program, a set of codes, or a set of instructions is stored in the storage medium, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by a processor to implement the information recommendation method according to any one of claims 1-6.
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| CN201910555294.7A CN112131457A (en) | 2019-06-25 | 2019-06-25 | Information recommendation method, device and system and storage medium |
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| CN201910555294.7A CN112131457A (en) | 2019-06-25 | 2019-06-25 | Information recommendation method, device and system and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113010799A (en) * | 2021-01-04 | 2021-06-22 | 腾讯科技（深圳）有限公司 | Method and device for acquiring media information, electronic equipment and storage medium |
| CN113139087A (en) * | 2021-04-29 | 2021-07-20 | 北京沃东天骏信息技术有限公司 | Information recommendation method and device |
| CN114924818A (en) * | 2022-04-28 | 2022-08-19 | 阿里巴巴（中国）有限公司 | Flow shunting method, device, equipment and storage medium |
| CN115186194A (en) * | 2022-08-04 | 2022-10-14 | 北京字跳网络技术有限公司 | Information recommendation method and device, electronic equipment and storage medium |
-
2019
- 2019-06-25 CN CN201910555294.7A patent/CN112131457A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113010799A (en) * | 2021-01-04 | 2021-06-22 | 腾讯科技（深圳）有限公司 | Method and device for acquiring media information, electronic equipment and storage medium |
| CN113139087A (en) * | 2021-04-29 | 2021-07-20 | 北京沃东天骏信息技术有限公司 | Information recommendation method and device |
| CN114924818A (en) * | 2022-04-28 | 2022-08-19 | 阿里巴巴（中国）有限公司 | Flow shunting method, device, equipment and storage medium |
| CN114924818B (en) * | 2022-04-28 | 2023-11-28 | 阿里巴巴（中国）有限公司 | Traffic diversion method, device, equipment and storage medium |
| CN115186194A (en) * | 2022-08-04 | 2022-10-14 | 北京字跳网络技术有限公司 | Information recommendation method and device, electronic equipment and storage medium |
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