CN110516159B - Information recommendation method and device, electronic equipment and storage medium - Google Patents
Information recommendation method and device, electronic equipment and storage medium Download PDFInfo
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- CN110516159B CN110516159B CN201910818405.9A CN201910818405A CN110516159B CN 110516159 B CN110516159 B CN 110516159B CN 201910818405 A CN201910818405 A CN 201910818405A CN 110516159 B CN110516159 B CN 110516159B
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Abstract
The embodiment of the disclosure discloses an information recommendation method and device, electronic equipment and a storage medium. The method comprises the following steps: in the process of information display on a recommended information display interface, a time-limited interest point selection strategy fed back by a user is obtained, and the strategy content and the effective time period of the time-limited interest point selection strategy are determined; and in the effective time period, recommending information according to the strategy content, and displaying in the recommended information display interface. According to the technical scheme of the embodiment of the disclosure, the information recommendation requirements of the user for the temporary interest points are met, and the accuracy of information recommendation is improved.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, and in particular relates to an information recommendation method and device, an electronic device and a storage medium.
Background
With the rapid development of the internet, a lot of convenience is brought to the life of people, and simultaneously, a large amount of information is brought.
In a recommendation scenario, a recommendation system may recommend content of interest to a user based on traffic behavior of the user, but such recommendation strategy lacks active feedback of the user; although such a recommendation strategy includes active feedback of the user, the accuracy of information recommendation may also be low due to insufficient classification granularity of the interest tags or temporary change of the user interest.
Disclosure of Invention
The embodiment of the disclosure provides an information recommendation method and device, an electronic device and a storage medium, so as to improve the accuracy of information recommendation.
In a first aspect, an embodiment of the present disclosure provides an information recommendation method, where the method includes:
in the process of information display on a recommended information display interface, a time-limited interest point selection strategy fed back by a user is obtained, and the strategy content and the effective time period of the time-limited interest point selection strategy are determined;
and in the effective time period, recommending information according to the strategy content, and displaying in the recommended information display interface.
In a second aspect, an embodiment of the present disclosure further provides an information recommendation apparatus, where the apparatus includes:
the system comprises an interest point selection strategy acquisition module, a time-limited interest point selection strategy selection module and a time-limited interest point selection strategy selection module, wherein the interest point selection strategy acquisition module is used for acquiring a time-limited interest point selection strategy fed back by a user in the process of information display on a recommended information display interface and determining the strategy content and the effective time period of the time-limited interest point selection strategy;
and the information recommendation module is used for recommending information according to the strategy content in the effective time period so as to display the information in the recommended information display interface.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the information recommendation method according to any one of the embodiments of the disclosure.
In a fourth aspect, the embodiments of the present disclosure further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are used for executing the information recommendation method according to any one of the embodiments of the present disclosure.
According to the technical scheme of the embodiment of the disclosure, in the process of information display on the recommended information display interface, if the user wants to watch the temporarily interested information, the time-limited interest point selection strategy can be fed back at any time, so that the recommendation system can recommend the information corresponding to the time-limited interest point selection strategy to the user in the effective time period corresponding to the time-limited interest point selection strategy, and the information is displayed on the recommended information display interface. Therefore, in the process of information display on the recommended information display interface, the information recommendation strategy is not invariable and can be adjusted according to the temporary feedback of the user, the information recommendation requirements of the user for temporary interest points are met, and the accuracy of information recommendation is improved.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and components are not necessarily drawn to scale.
Fig. 1 is a schematic flowchart of an information recommendation method according to a first embodiment of the disclosure;
fig. 2 is a schematic flowchart of an information recommendation method according to a second embodiment of the disclosure;
fig. 3 is a schematic structural diagram of an information recommendation device according to a third embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
Example one
Fig. 1 is a schematic flow chart of an information recommendation method according to an embodiment of the present disclosure, where the present embodiment is applicable to a situation where a user interest point temporarily changes during an information recommendation display process, and the method may be executed by an information recommendation apparatus, where the apparatus may be implemented in a form of software and/or hardware, and may be generally integrated in an electronic device, where the electronic device may be a mobile terminal, a PC terminal, or the like.
As shown in fig. 1, the method of the present embodiment includes:
s110, in the process of information display on the recommended information display interface, a time-limited interest point selection strategy fed back by a user is obtained, and the strategy content and the effective time period of the time-limited interest point selection strategy are determined.
In the process of displaying information on the recommended information display interface, the displayed information can be recommended based on a recommended label set by the user, and can also be recommended based on a historical browsing record or a historical operating record of the user. In this process, if the user has a temporary point of interest, a time-limited point of interest selection policy matching the temporary point of interest may be fed back. The meaning of the time-limited interest point selection policy is that the time-limited interest point selection policy has a specific effective time period and is not effective for a long time.
Specifically, the time-limited interest point selection policy at least includes temporary interest point information fed back by the user, that is, policy content of the time-limited interest point selection policy, for example, content information of interest, which may be a word or a sentence.
Optionally, before obtaining the time-limited interest point selection policy fed back by the user, the method further includes:
responding to the time-limited interest point selection strategy feedback trigger operation initiated by the user, and providing a time-limited interest point selection strategy input window for the user.
When a user wants to feed back a time-limited interest point selection strategy, the initiated time-limited interest point selection strategy feedback triggering operation may be, for example, clicking an entity key for receiving the time-limited interest point selection strategy, or clicking a virtual key for receiving the time-limited interest point selection strategy on a recommended information display interface, or further, shaking a mobile terminal where the recommended information display interface is located to enable a time-limited interest point selection strategy input window to pop up in the recommended information display interface, and the like.
After the information recommendation device receives a time-limited interest point selection strategy feedback trigger operation initiated by a user, a time-limited interest point selection strategy input window is provided for the user, so that the user inputs a time-limited interest point selection strategy in the time-limited interest point selection strategy input window.
After receiving the time-limited interest point selection strategy fed back by the user, determining the strategy content and the effective time period of the time-limited interest point selection strategy. The policy content is specifically determined according to the time-limited interest point selection policy, and the effective time period may be specifically determined according to the time-limited interest point selection policy or may be preset (at this time, the time-limited interest point selection policy is not related).
Typically, the recommended information may be a video; correspondingly, the strategy content can be video anchor information, such as anchor names and the like, video subject information, such as games, makeup and the like, and video types, such as laugh videos and the like.
And S120, recommending information according to the strategy content in the effective time period so as to display the information in the recommended information display interface.
After the policy content and the effective time period of the time-limited interest point selection policy are determined, information recommendation can be performed according to the policy content in the effective time period, so that recommended information is displayed in a recommended information display interface for a user to browse and view.
According to the technical scheme of the embodiment of the disclosure, in the process of information display on the recommended information display interface, if the user wants to watch the temporarily interested information, the time-limited interest point selection strategy can be fed back at any time, so that the recommendation system can recommend the information corresponding to the time-limited interest point selection strategy to the user in the effective time period corresponding to the time-limited interest point selection strategy, and the information is displayed on the recommended information display interface. Therefore, in the process of information display on the recommended information display interface, the information recommendation strategy is not invariable and can be adjusted according to the temporary feedback of the user, the information recommendation requirements of the user for temporary interest points are met, and the accuracy of information recommendation is improved.
As a specific implementation manner, information recommendation may be performed according to the policy content in the validation time period, which specifically includes:
acquiring a first recommendation weight of the time-limited interest point selection strategy and a second recommendation weight of a basic interest point selection strategy; wherein the first recommendation weight is greater than the second recommendation weight;
in the effective time period, according to the first recommendation weight, selecting the strategy content of the strategy according to the time-limited interest point to recommend information as first-class information;
and according to the second recommendation weight, performing information recommendation according to the strategy content of the basic interest point selection strategy to serve as second type information; and displaying the first type of information and the second type of information in the recommended information display interface.
The basic interest point selection policy may refer to a interest point selection policy determined according to a user history browsing record, or may refer to a interest point selection policy determined according to a user history setting, or the like. The basic interest point selection strategy is most different from the time-limited interest point selection strategy in that: the effective time of the basic point of interest selection policy is long, and the effective time of the time-limited point of interest selection policy is temporary (i.e., has its effective time period).
In this embodiment, although the time-limited interest point selection policy fed back by the user is received, in the effective time period corresponding to the time-limited interest point selection policy, information recommendation is performed not only according to the policy content of the time-limited interest point selection policy, but also according to the basic interest point selection policy and the time-limited interest point selection policy, only the recommendation weight of the time-limited interest point selection policy is larger, that is, in the unit time period, the amount of the first type of information recommended according to the time-limited interest point selection policy is larger than the amount of the second type of information recommended according to the basic interest point selection policy.
The first recommendation weight corresponding to the time-limited interest point selection strategy and the second recommendation weight corresponding to the basic interest point selection strategy can be preset, and the first recommendation weight and the second recommendation weight can be adjusted in real time according to the browsing operation record of the user.
According to the technical scheme, the time-limited interest point selection strategy and the basic interest point selection strategy of the user are considered, and the accuracy of information recommendation is further improved.
Example two
Fig. 2 is a schematic flowchart of an information recommendation method according to a second embodiment of the present disclosure. The embodiment is refined based on the above embodiment, wherein the time-limited interest point selection policy for obtaining the user feedback specifically includes: and acquiring a time-limited interest point selection strategy fed back by a user in a voice mode.
As shown in fig. 2, the method of the present embodiment includes:
s210, in the process of information display on the recommended information display interface, responding to the time-limited interest point selection strategy feedback triggering operation initiated by the user, and providing a time-limited interest point selection strategy input window for the user.
S220, obtaining a time-limited interest point selection strategy fed back by a user in a voice mode, and determining the strategy content and the effective time period of the time-limited interest point selection strategy.
Typically, the user can not only feed back the time-limited interest point selection strategy in a text manner, but also feed back the time-limited interest point selection strategy in a voice manner for the convenience of user operation.
Further, under the condition that the user feeds back the time-limited interest point selection policy in a voice manner, the policy content for determining the time-limited interest point selection policy may further be specifically:
and performing semantic recognition on the voice signal input by the user, and determining the strategy content of the time-limited interest point selection strategy.
And when the user inputs a voice signal in the time-limited interest point selection strategy input window, acquiring the voice signal input by the user, and performing semantic recognition on the voice signal to determine the strategy content of the time-limited interest point selection strategy.
As a specific implementation manner of this embodiment, semantic recognition may be further performed on the voice signal input by the user, and the policy content of the time-limited interest point selection policy may be determined, specifically:
carrying out voice recognition on the voice signal input by the user to obtain character information corresponding to the voice signal; natural language understanding is carried out on the text information to obtain entity words corresponding to the voice signals; and determining the strategy content of the time-limited interest point selection strategy according to the entity words.
After a voice signal input by a user is obtained, voice recognition is carried out on the voice signal, the voice signal is converted into character information, natural language understanding is carried out on the character information, each entity word in the character information is obtained, the obtained entity words are determined as recommended keywords, and the strategy content of the time-limited interest point selection strategy is determined based on the recommended keywords.
For example, a user inputs "i want to see a Liu Dehua concert video", after speech recognition and natural language understanding, the obtained entity words are "Liu Dehua concert" and "video", and further "Liu Dehua concert" and "video" can be used as recommended keywords, so that the policy content of the time-limited interest point selection policy is "Liu Dehua concert video".
The embodiment also provides a plurality of determination modes of the effective time period of the time-limited interest point selection strategy.
As an alternative embodiment, the time point when the application program exits next is used as the end time point of the effective time period of the time-limited interest point selection policy.
The time-limited interest point selection strategy effective time period determined by the implementation mode is irrelevant to the time-limited interest point selection strategy fed back by the user. That is, the current time point (or the time point for acquiring the time-limited interest point selection policy fed back by the user in a voice manner) is taken as the starting time point of the effective time period, and the time point of the application program (the application program for recommending information to the user) when exiting next time is taken as the ending time point of the effective time period. When the application program exits for the second time, the user is referred to as closing (or exiting) the application program for the first time after the point of interest selection strategy is limited by the user feedback.
As another optional implementation manner, a preset default effective time period is used as the effective time period of the time-limited point of interest selection policy.
The effective time period of the time-limited interest point selection strategy determined by the implementation method is also irrelevant to the time-limited interest point selection strategy fed back by the user. That is, the validation time period is set to a default validation time period set in advance, for example, 10 minutes or 20 minutes. And the starting time point of the default effective time period is the time point of obtaining the time-limited interest point selection strategy fed back by the user in a voice mode.
As another optional implementation manner, the effective time period of the time-limited interest point selection policy is determined according to the effective time information fed back by the user.
The effective time period of the time-limited interest point selection strategy determined by the implementation mode is related to the time-limited interest point selection strategy fed back by the user. That is, by identifying the time-limited interest point selection policy input by the user, the time information corresponding to the effective time period is identified, so as to determine the effective time period of the time-limited interest point selection policy. Specifically, the time-limited point-of-interest selection policy input by the user may include only an end time point of an effective time period of the time-limited point-of-interest selection policy, and the start time point is defaulted as a time point at which the time-limited point-of-interest selection policy fed back by the user in a voice manner is obtained.
As still another optional implementation manner, an end time point of the effective time period of the time-limited interest point selection policy is determined according to the traffic behavior of the user on the recommendation information.
The effective time period of the time-limited interest point selection strategy determined by the implementation method is also irrelevant to the time-limited interest point selection strategy fed back by the user. That is, the end time point of the effective time period of the time-limited interest point selection strategy is determined according to the flow behavior of the user on the recommendation information corresponding to the time-limited interest point selection strategy. For example, the traffic behavior of the user is counted, and if it is determined that the traffic behavior of the user on the recommendation information corresponding to the time-limited point of interest selection policy is rarely or even zero, the time point at this time or a time point after several minutes may be used as the end time point of the effective time period of the time-limited point of interest selection policy. The starting time point of the effective time period of the time-limited interest point selection strategy can also default to the time point of the time-limited interest point selection strategy fed back by the user in a voice mode.
S230, acquiring a first recommendation weight of the time-limited interest point selection strategy and a second recommendation weight of the basic interest point selection strategy; wherein the first recommendation weight is greater than the second recommendation weight.
S240, in the effective time period, according to the first recommendation weight, and according to the time-limited interest point selection strategy, information recommendation is carried out, and the information is used as first-class information; and according to the second recommendation weight, performing information recommendation according to the strategy content of the basic interest point selection strategy to serve as second type information; and displaying the first type of information and the second type of information in the recommended information display interface.
For those parts of this embodiment that are not explained in detail, reference is made to the aforementioned embodiments, and details are not repeated herein.
In the technical scheme, the user is supported to feed back the time-limited interest point selection strategy in a voice mode, so that great convenience is provided for the user; the determination mode of the time-limited interest point selection strategy effective time period can be specifically set according to the actual requirements of the user, and the use experience of the user is improved on the basis of improving the accuracy of information recommendation.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an information recommendation apparatus provided in a third embodiment of the present disclosure, where the apparatus may be implemented in a software and/or hardware manner, and executes an information recommendation method according to any embodiment of the present disclosure. Specifically, the device includes: a point-of-interest selection policy acquisition module 310 and an information recommendation module 320. Wherein the content of the first and second substances,
the interest point selection strategy obtaining module 310 is configured to obtain a time-limited interest point selection strategy fed back by a user in an information display process of a recommended information display interface, and determine a strategy content and an effective time period of the time-limited interest point selection strategy;
and the information recommendation module 320 is configured to recommend information according to the policy content in the effective time period, so as to display the information in the recommended information display interface.
According to the technical scheme of the embodiment of the disclosure, in the process of information display on the recommended information display interface, if the user wants to watch the temporarily interested information, the time-limited interest point selection strategy can be fed back at any time, so that the recommendation system can recommend the information corresponding to the time-limited interest point selection strategy to the user in the effective time period corresponding to the time-limited interest point selection strategy, and the information is displayed on the recommended information display interface. Therefore, in the process of information display on the recommended information display interface, the information recommendation strategy is not invariable and can be adjusted according to the temporary feedback of the user, the information recommendation requirements of the user for temporary interest points are met, and the accuracy of information recommendation is improved.
As an optional implementation manner, the information recommendation module 320 is specifically configured to obtain a first recommendation weight of the time-limited interest point selection policy and a second recommendation weight of the basic interest point selection policy; wherein the first recommendation weight is greater than the second recommendation weight; in the effective time period, according to the first recommendation weight, selecting the strategy content of the strategy according to the time-limited interest point to recommend information as first-class information; and according to the second recommendation weight, performing information recommendation according to the strategy content of the basic interest point selection strategy to serve as second type information; and displaying the first type of information and the second type of information in the recommended information display interface.
Further, the interest point selection policy obtaining module 310 is specifically configured to obtain a time-limited interest point selection policy fed back by a user in a voice manner in the process of information display on the recommended information display interface.
Further, the interest point selection policy obtaining module 310 is specifically configured to, in the process of information display on the recommended information display interface, obtain a time-limited interest point selection policy fed back by the user in a voice manner, perform semantic recognition on a voice signal input by the user, and determine policy content of the time-limited interest point selection policy.
Further, the interest point selection policy obtaining module 310 is specifically configured to, in the process of information display on the recommended information display interface, obtain a time-limited interest point selection policy that is fed back by a user in a voice manner, perform voice recognition on a voice signal input by the user, and obtain text information corresponding to the voice signal; natural language understanding is carried out on the text information to obtain entity words corresponding to the voice signals; and determining the strategy content of the time-limited interest point selection strategy according to the entity words.
As an optional implementation manner, the point of interest selection policy obtaining module 310 is further specifically configured to use a time point when the application program exits for the next time as an end time point of the effective time period of the time-limited point of interest selection policy.
As another optional implementation manner, the point of interest selection policy obtaining module 310 is further specifically configured to use a preset default effective time period as an effective time period of the time-limited point of interest selection policy.
As another optional implementation manner, the point of interest selection policy obtaining module 310 is further specifically configured to determine an effective time period of the time-limited point of interest selection policy according to the effective time information fed back by the user.
As another optional implementation manner, the point of interest selection policy obtaining module 310 is further specifically configured to determine, according to the flow behavior of the user on the recommendation information, an end time point of the effective time period of the time-limited point of interest selection policy.
On the basis of the above technical solution, the apparatus further includes: and the response module is used for responding to the time-limited interest point selection strategy feedback trigger operation initiated by the user and providing a time-limited interest point selection strategy input window for the user.
Specifically, the information includes a video; the policy content includes at least one of: video anchor information, video topic information, and video type.
The information recommendation device provided by the embodiment of the disclosure can execute the information recommendation method provided by any embodiment of the disclosure, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the embodiments of the present disclosure.
Example four
Referring now to fig. 4, a schematic diagram of an electronic device (e.g., the terminal device or the server of fig. 4) 400 suitable for implementing embodiments of the present disclosure is shown. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, the electronic device 400 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage device 406 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 406 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 409, or from the storage means 406, or from the ROM 402. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 401.
The terminal provided by the embodiment of the present disclosure and the information recommendation method provided by the embodiment belong to the same inventive concept, and technical details that are not described in detail in the embodiment of the present disclosure may be referred to the embodiment, and the embodiment of the present disclosure have the same beneficial effects.
EXAMPLE five
The disclosed embodiments provide a computer storage medium having a computer program stored thereon, which when executed by a processor implements the information recommendation method provided by the above embodiments.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer 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 of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (Hyper Text Transfer Protocol), and may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to:
in the process of information display on a recommended information display interface, a time-limited interest point selection strategy fed back by a user is obtained, and the strategy content and the effective time period of the time-limited interest point selection strategy are determined;
and in the effective time period, information recommendation is carried out according to the strategy content so as to be displayed in the recommended information display interface.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. The name of a unit does not in some cases form a limitation on the unit itself, and for example, the "point of interest selection policy acquisition module" may also be described as a "policy acquisition module".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, 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 compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
According to one or more embodiments of the present disclosure, [ example one ] there is provided an information recommendation method, including:
in the process of information display on a recommended information display interface, a time-limited interest point selection strategy fed back by a user is obtained, and the strategy content and the effective time period of the time-limited interest point selection strategy are determined;
and in the effective time period, information recommendation is carried out according to the strategy content so as to be displayed in the recommended information display interface.
According to one or more embodiments of the present disclosure, [ example two ] there is provided an information recommendation method, further comprising:
optionally, in the validation time period, recommending information according to the policy content includes:
acquiring a first recommendation weight of the time-limited interest point selection strategy and a second recommendation weight of the basic interest point selection strategy; wherein the first recommendation weight is greater than the second recommendation weight;
in the effective time period, according to the first recommendation weight, selecting the strategy content of the strategy according to the time-limited interest point to recommend information as first-class information;
and according to the second recommendation weight, performing information recommendation according to the strategy content of the basic interest point selection strategy to serve as second type information; and displaying the first type of information and the second type of information in the recommended information display interface.
According to one or more embodiments of the present disclosure, [ example three ] there is provided an information recommendation method, further comprising:
optionally, the time-limited interest point selection policy for obtaining the user feedback includes:
and acquiring a time-limited interest point selection strategy fed back by a user in a voice mode.
According to one or more embodiments of the present disclosure, [ example four ] there is provided an information recommendation method, further comprising:
optionally, determining the policy content of the time-limited interest point selection policy includes:
and performing semantic recognition on the voice signal input by the user, and determining the strategy content of the time-limited interest point selection strategy.
According to one or more embodiments of the present disclosure, [ example five ] there is provided an information recommendation method, further comprising:
optionally, performing semantic recognition on the voice signal input by the user, and determining the policy content of the time-limited interest point selection policy, including:
carrying out voice recognition on the voice signal input by the user to obtain character information corresponding to the voice signal;
natural language understanding is carried out on the text information to obtain entity words corresponding to the voice signals;
and determining the strategy content of the time-limited interest point selection strategy according to the entity words.
According to one or more embodiments of the present disclosure, [ example six ] there is provided an information recommendation method, further comprising:
optionally, determining an effective time period of the time-limited interest point selection policy includes any one of:
taking the time point of the application program when the application program exits for the next time as the end time point of the effective time period of the time-limited interest point selection strategy;
taking a preset default effective time period as the effective time period of the time-limited interest point selection strategy;
determining the effective time period of the time-limited interest point selection strategy according to the effective time information fed back by the user;
and determining the end time point of the effective time period of the time-limited interest point selection strategy according to the flow behavior of the user on the recommended information.
According to one or more embodiments of the present disclosure [ example seven ] there is provided an information recommendation method, further comprising:
optionally, before obtaining the time-limited interest point selection policy fed back by the user, the method further includes:
responding to the time-limited interest point selection strategy feedback trigger operation initiated by the user, and providing a time-limited interest point selection strategy input window for the user.
According to one or more embodiments of the present disclosure, [ example eight ] there is provided an information recommendation method, further comprising:
optionally, the information includes video;
the policy content includes at least one of:
video anchor information, video topic information, and video type.
According to one or more embodiments of the present disclosure, [ example nine ] there is provided an information recommendation apparatus including:
the system comprises an interest point selection strategy acquisition module, a time-limited interest point selection strategy selection module and a time-limited interest point selection strategy selection module, wherein the interest point selection strategy acquisition module is used for acquiring a time-limited interest point selection strategy fed back by a user in the process of information display on a recommended information display interface and determining the strategy content and the effective time period of the time-limited interest point selection strategy;
and the information recommendation module is used for recommending information according to the strategy content in the effective time period so as to display the information in the recommended information display interface.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (8)
1. An information recommendation method, comprising:
in the process of information display on a recommended information display interface, a time-limited interest point selection strategy fed back by a user is obtained, and the strategy content and the effective time period of the time-limited interest point selection strategy are determined;
in the effective time period, information recommendation is carried out according to the strategy content so as to be displayed in the recommended information display interface;
before obtaining the time-limited interest point selection strategy fed back by the user, the method further comprises the following steps:
responding to a time-limited interest point selection strategy feedback trigger operation initiated by the user, and providing a time-limited interest point selection strategy input window for the user;
and in the effective time period, recommending information according to the strategy content, wherein the information recommendation comprises the following steps:
acquiring a first recommendation weight of the time-limited interest point selection strategy and a second recommendation weight of a basic interest point selection strategy; wherein the first recommendation weight is greater than the second recommendation weight;
in the effective time period, according to the first recommendation weight, selecting the strategy content of the strategy according to the time-limited interest point to recommend information as first-class information;
according to the second recommendation weight, information recommendation is carried out according to the strategy content of the basic interest point selection strategy and serves as second-class information; displaying the first type of information and the second type of information in the recommended information display interface;
determining an effective time period of the time-limited point of interest selection policy, including any one of:
taking the time point of the application program when the application program exits for the next time as the end time point of the effective time period of the time-limited interest point selection strategy;
determining the effective time period of the time-limited interest point selection strategy according to the effective time information fed back by the user;
and determining the end time point of the effective time period of the time-limited interest point selection strategy according to the flow behavior of the user on the recommended information.
2. The method of claim 1, wherein obtaining a time-limited point-of-interest selection policy for user feedback comprises:
and acquiring a time-limited interest point selection strategy fed back by a user in a voice mode.
3. The method of claim 2, wherein determining the policy content of the time-limited point of interest selection policy comprises:
and performing semantic recognition on the voice signal input by the user, and determining the strategy content of the time-limited interest point selection strategy.
4. The method of claim 3, wherein performing semantic recognition on the voice signal input by the user and determining the strategy content of the time-limited interest point selection strategy comprises:
carrying out voice recognition on the voice signal input by the user to obtain character information corresponding to the voice signal;
natural language understanding is carried out on the text information to obtain entity words corresponding to the voice signals;
and determining the strategy content of the time-limited interest point selection strategy according to the entity words.
5. The method according to any of claims 1-4, wherein the information comprises video;
the policy content includes at least one of:
video anchor information, video topic information, and video type.
6. An information recommendation apparatus, comprising:
the system comprises an interest point selection strategy acquisition module, a time-limited interest point selection strategy selection module and a time-limited interest point selection strategy selection module, wherein the interest point selection strategy acquisition module is used for acquiring a time-limited interest point selection strategy fed back by a user in the process of information display of a recommended information display interface and determining the strategy content and the effective time period of the time-limited interest point selection strategy;
the information recommendation module is used for recommending information according to the strategy content in the effective time period so as to display the information in the recommended information display interface;
the response module is used for responding to the time-limited interest point selection strategy feedback triggering operation initiated by the user and providing a time-limited interest point selection strategy input window for the user;
the information recommendation module is specifically used for acquiring a first recommendation weight of the time-limited interest point selection strategy and a second recommendation weight of the basic interest point selection strategy; wherein the first recommendation weight is greater than the second recommendation weight; in the effective time period, according to the first recommendation weight, selecting the strategy content of the strategy according to the time-limited interest point to recommend information as first-class information; and according to the second recommendation weight, performing information recommendation according to the strategy content of the basic interest point selection strategy to serve as second type information; displaying the first type of information and the second type of information in the recommended information display interface;
the interest point selection policy obtaining module is further specifically configured to any one of:
taking the time point of the application program when the application program exits for the next time as the end time point of the effective time period of the time-limited interest point selection strategy;
determining the effective time period of the time-limited interest point selection strategy according to the effective time information fed back by the user;
and determining the end time point of the effective time period of the time-limited interest point selection strategy according to the flow behavior of the user on the recommended information.
7. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device to store one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the information recommendation method of any of claims 1-5.
8. A storage medium containing computer-executable instructions for performing the information recommendation method of any one of claims 1-5 when executed by a computer processor.
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