CN111104605A - Content recommendation method and device, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the disclosure provides a content recommendation method, a content recommendation device, an electronic device, a storage medium and a computer program product containing instructions, relates to the technical field of computers, the method comprises the steps of displaying labeled user accounts corresponding to various field classifications to a current user account, obtaining a following instruction of the current user account for a specified labeled user account, responding to the following instruction, pushing consumption content of the specified labeled user account to the current user account, so as to rapidly teach the content flow meeting the requirements of the new user account, accelerate the cold start process of the new user account, further improving the retention of new user accounts and the activity of the whole platform, and simultaneously acquiring the specified label user accounts followed by the old user accounts, the method can be used for optimizing the information flow of the old user account and avoiding the information callus effect of the old user account, so that the old user account can find more wonderful contents.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a content recommendation method and apparatus, an electronic device, and a storage medium.
Background
With the development of internet technology and the acceleration of life rhythm of people, users usually want to see media contents such as articles, videos and the like which are interesting to the users in the shortest time, for a content platform, when the users browse the contents in a cold start mode, except for basic user portraits, generally lack personalized data of new users, the content platform is difficult to recommend the contents meeting the requirements of the new users, the existing recommendation system generally judges the preferences of the users by relying on the behaviors of watching, agreeing and disliking the cold start contents of the users and gradually teaches to achieve the content flow meeting the requirements of the users, but the recommendation mode has the problem of cold start, for the new fields concerned by the new users or the users, because of no historical watching behaviors of the users, the contents which are interesting to the users can not be recommended quickly and pertinently, and if the users do not find the contents which are interesting to the users through debugging the information flow for a long time, may leave the platform and thus fail to promote the retention of new users and the overall activity of the platform.
Disclosure of Invention
The disclosure provides a content recommendation method, a content recommendation device, an electronic device and a storage medium, so as to quickly extract a content stream meeting the requirements of a new user account, accelerate the cold start process of the new user account, and further promote the retention of the new user account and the activity of the whole platform.
The technical scheme of the disclosure is as follows:
according to a first aspect of embodiments of the present disclosure, the present disclosure provides a content recommendation method, including:
displaying the labeled user accounts corresponding to the classification of each field to the current user account;
acquiring a following instruction of a current user account aiming at a user account with a specified label;
and responding to the following instruction, and pushing the consumption content of the specified tag user account to the current user account.
Optionally, before the displaying of the tag user account corresponding to each field classification to the current user account, the method further includes:
acquiring preset domain classifications;
and respectively determining the user accounts which reach preset conditions aiming at the field classifications to obtain the user accounts of the field classification labels.
Optionally, the consuming content of the specified tag user account includes:
the content complied with by the specified tag user account, the content collected by the specified tag user account, and one or more of the content commented by the specified tag user account.
Optionally, the pushing, in response to the following instruction, the consumption content of the specified tag user account to the current user account includes:
responding to the following instruction, and setting the current user account as a following user account of the specified tag user account;
and pushing the consumption content of the specified label user account to the following user account of the specified label user account in real time.
Optionally, the method further includes:
acquiring a follow-up cancellation instruction of a current user account aiming at a user account with a specified label;
and in response to the follow-up canceling instruction, deleting the current user account from the follow-up user accounts of the specified tag user account.
Optionally, the method further includes:
and displaying the consumption content of the specified tag user account in a preset target area, wherein the preset target area is used for displaying the consumption content of the specified tag user account.
According to a second aspect of embodiments of the present disclosure, there is provided a content recommendation apparatus including:
the first display module is configured to display the label user account corresponding to each field classification to the current user account;
the first acquisition module is configured to acquire a following instruction of a current user account for a specified tag user account;
a pushing module configured to push the consumption content of the specified tag user account to the current user account in response to the following instruction.
Optionally, the apparatus further comprises:
the acquisition module is configured to acquire preset domain classifications;
and the determining module is configured to respectively determine the user accounts reaching preset conditions for the field classifications to obtain the user accounts of the field classification labels.
Optionally, the consuming content of the specified tag user account includes:
the content complied with by the specified tag user account, the content collected by the specified tag user account, and one or more of the content commented by the specified tag user account.
Optionally, the pushing module is specifically configured to:
responding to the following instruction, and setting the current user account as a following user account of the specified tag user account;
and pushing the consumption content of the specified label user account to the following user account of the specified label user account in real time.
Optionally, the apparatus further comprises:
the second acquisition module is configured to acquire a follow-up cancellation instruction of the current user account for the user account with the specified label;
and the deleting module is configured to respond to the follow-up canceling instruction and delete the current user account from the follow-up user account of the specified tag user account.
Optionally, the apparatus further comprises:
and the second display module is configured to display the consumption content of the specified tag user account in a preset target area, and the preset target area is used for displaying the consumption content of the specified tag user account.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic device including: a processor, a communication interface, a memory, and a communication bus, wherein,
the processor, the communication interface and the memory complete mutual communication through a communication bus;
a memory configured to store a computer program;
a processor configured to implement the content recommendation method according to any one of the first aspect described above when executing the program stored in the memory.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a storage medium having a computer program stored therein, the computer program, when executed by a processor, implementing the content recommendation method of any one of the first aspects.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the content recommendation method of any one of the above first aspects.
The content recommendation method, the content recommendation device, the electronic device, the storage medium and the computer program product containing the instructions provided by the embodiments of the disclosure at least bring the following beneficial effects:
the method comprises the steps of displaying label user accounts corresponding to various field classifications to a current user account, obtaining a following instruction of the current user account aiming at a specified label user account, responding to the following instruction, pushing consumption content of the specified label user account to the current user account, rapidly calling and educating a content stream meeting the demand of a new user account, accelerating the cold start process of the new user account, further improving the retention of the new user account and the activity of the whole platform, obtaining the specified label user account followed by an old user account, being capable of being used for optimizing the information stream of the old user account, and avoiding the information cocoon effect of the old user account, so that the old user account can find more wonderful content.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.
FIG. 1 is a diagram illustrating a first method of content recommendation, according to an example embodiment;
FIG. 2 is a diagram illustrating a second method of content recommendation, according to an example embodiment;
FIG. 3 is a block diagram illustrating a content recommendation device according to an example embodiment;
FIG. 4 is a block diagram illustrating a first type of electronic device in accordance with an exemplary embodiment;
FIG. 5 is a block diagram illustrating a second type of electronic device, according to an example embodiment.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings 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 disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The disclosed embodiments disclose a content recommendation method, apparatus, electronic device, storage medium and computer program product containing instructions, which are described below.
Fig. 1 is a schematic diagram illustrating a first content recommendation method according to an exemplary embodiment, as shown in fig. 1, including the following steps:
in step S110, the labeled user accounts corresponding to the respective domain classifications are presented to the current user account.
The content recommendation method of the embodiment of the disclosure may be implemented by an electronic device, and specifically, the electronic device may be a server.
Classifying the contents of the platform according to the affiliated fields, then collecting the tag user accounts corresponding to the various field classifications, and displaying the tag user accounts corresponding to the various field classifications to the current user account, wherein the current user account can be a new user account of the platform or an old user account of the platform. The setting rule of the labeled user accounts corresponding to the various field classifications may be one or more of user accounts whose consumption content exceeds a consumption threshold in the current field classification, user accounts whose attendees exceed a preset user account threshold in the current field classification, and user accounts authenticated by a specific channel in the current field classification. The setting rule of the tag user account corresponding to each field classification may be determined according to the actual situation of each field classification, and is not limited herein. For example, in a live broadcast platform, the user account a is divided into food, tourism, pets, makeup and cosmetics, 5 fashionable fields, the user account a is a user account in the live broadcast platform, the user account a concerns about the food field and the tourism field, the number of consumed contents of the user account a is 6000, 80% of the consumed contents of the user account a are contents in the food field, the user account which concerns about the user account a is 11000, the number of the user account which concerns about the user account a exceeds a preset user account threshold value 10000, the user account a is set as a tag user account in the food field, and specifically, the tag user account in the food field can be defined as a food field consumption expert. After finishing sorting the tag user account numbers corresponding to the field classifications, the tag user account numbers corresponding to the field classifications can be displayed for the current user account number, so that the tag user account numbers corresponding to the field classifications are quickly mined, and related consumption content can be aggregated into a recommendation system and recommended to the user account number, thereby realizing consumption. For example, a following entry is set on a platform page, the current user account clicks the following entry, and the sorted labeled user accounts corresponding to the various field classifications are viewed. For example, when the current user account enters the platform for the first time, the sorted labeled user accounts corresponding to the various domain classifications are displayed on a page when the current user account enters the platform for the first time.
In step S120, a following instruction of the current user account for the specified tag user account is acquired.
The current user account can operate the specified tag user account according to the tag user accounts corresponding to the displayed field classifications, for example, a following button is set for the tag user account, the current user account clicks the following button of the specified tag user account, so that the specified tag user account is followed, and when the current user account clicks the following button of the specified tag user account, the current user account indicates that the current user account follows the specified tag user account.
In step S130, in response to the following instruction, pushing the consumption content of the specified tagged user account to the current user account.
And responding to the following instruction, and pushing the consumption content of the appointed label user account to the current user account. For example, in a video platform, the video platform is divided into 5 fashionable food fields, tourism, pets, makeup and fashion fields, a user account B is a labeled user account in the field of the fashionable food in the video platform, a user account P is a new user account of the video platform, after entering the video platform, a following entry is found through a video platform discovery page, the user account P clicks the following entry to check the labeled user accounts corresponding to the classification of the fields, the user account B is found in the field of the fashionable food, the user account P clicks a following button of the user account B to follow the user account B, the electronic device obtains a following instruction of the user account P for the user account B, and the electronic device responds to the following instruction to push consumption content of the user account B to the user account P. Specifically, the content consumed by the user account P may be content complied with by the user account P, content collected by the user account P, or content commented by the user account P. Specifically, the electronic device acquires a following instruction of the user account P for the user account B, and pushes subsequent consumed content of the user account B after the user account P follows to the user account P in real time, or pushes consumed content of the user account B for a preset number of days before the user account P follows to the user account P, for example, periodically pushes consumed content of the user account B for a week before the user account P is registered to the user account P, for example, 1 piece of consumed content is pushed every 12 hours, in addition, the electronic device arranges the consumed content of the user account B to a preset area, and the user account P can look up historical consumed content of the user account B in the preset area, so as to accelerate a cold start process of a new user account, adjust recommended content more quickly, and recommend accurate content with higher user account satisfaction as soon as possible, and further, the retention of new user accounts and the activity of the whole platform are improved.
For example, the current user account is a user account M, wherein the user account M is an old user account of a video platform, the user account M can find a following entry through a video platform discovery page, view tag user accounts corresponding to each field classification, and follow a specified tag user account, the electronic device responds to the following instruction, and pushes consumption content of the specified tag user account to the user account M, wherein the historical consumption content of the tag user account is authorized and permitted through the tag user account. Therefore, the method is used for optimizing the information flow of the old user account, and avoiding the information callus effect of the old user account, so that the old user account can find more wonderful contents.
The method comprises the steps of displaying label user accounts corresponding to various field classifications to a current user account, obtaining a following instruction of the current user account for a specified label user account, responding to the following instruction, pushing consumption content of the specified label user account to the current user account, rapidly calling and educating a content flow meeting the demand of a new user account, accelerating the cold start process of the new user account, further improving the retention of the new user account and the activity of the whole platform, meanwhile, obtaining the specified label user account followed by an old user account, and being capable of being used for optimizing the information flow of the old user account, avoiding the information cocoon effect of the old user account, and enabling the old user account to find more wonderful content.
In a possible implementation manner, before the presenting, to the current user account, the labeled user account corresponding to each domain classification, the method further includes:
acquiring preset domain classifications;
and respectively determining the user accounts which meet preset conditions aiming at the field classifications to obtain the user accounts with the field classification labels.
Classifying the contents of the platform according to the affiliated fields, acquiring preset field classifications, respectively determining user accounts meeting preset conditions aiming at the field classifications, and acquiring user accounts labeled with the field classifications. The setting rule of the tag user account corresponding to each field classification may be one or more items of user accounts whose consumption content of the user account in the current field classification exceeds a consumption threshold in the current field classification, user accounts whose attendees of the user accounts in the current field classification exceed a preset user account threshold, and user accounts in the current field classification are authenticated through a specific channel. The setting rule of the label user account corresponding to each field classification can be determined according to the actual condition of each field classification. For example, in a live shopping platform, the fields of food, tourism, pets, beauty cosmetics and fashion are divided into 5 fields, a user account C is a user account in the live shopping platform, the user account C focuses on the beauty cosmetics field and the fashion field, the number of consumed contents of the user account C is 1000, 70% of the consumed contents of the user account C are the contents of the beauty cosmetics field, the user account focusing on the user account C has 10000, the number of the user account focusing on the user account C exceeds 5000 of a preset user account threshold value, the user account C is set as a label user account in the beauty cosmetics field, label user accounts corresponding to the classification of each field are rapidly mined, and related consumed contents can be aggregated into a recommendation system to wait for being recommended.
In a possible implementation manner, the consumption content of the specified tag user account includes:
the content complied with by the specified tag user account, the content collected by the specified tag user account, and the content commented by the specified tag user account may be one or more items.
The consumption content of the specified tag user account may include one or more of content praised by the specified tag user account, content collected by the specified tag user account, and content commented by the specified tag user account. The consumption content of the specified tag user account may be content of specified operation for the specified tag user account, specifically, content of forwarding, commenting, praise, or commenting, and the like for the specified tag user account. For example, if a user account C of a tag user account in the field of makeup in a live broadcast shopping platform sees a makeup video, and likes the makeup video, the makeup video is marked as the consumption content of the user account C, or if the user account C collects the makeup video, the makeup video is the consumption content of the user account C.
As shown in fig. 2, fig. 2 is a schematic diagram of a second content recommendation method according to an exemplary embodiment, and in a possible implementation manner, the pushing, in response to the following instruction, the consumption content of the specified tagged user account to the current user account includes the following steps:
step 131, in response to the following instruction, setting the current user account as a following user account of the designated tag user account;
step 132, pushing the consumption content of the specified tag user account to the following user account of the specified tag user account in real time.
And responding to the following instruction, setting the current user account as the following user account of the appointed label user account, and pushing the consumption content of the appointed label user account to the following user account of the appointed label user account in real time. For example, the user account P clicks a following button of the user account B to follow the user account B, the electronic device obtains a following instruction of the user account P for the user account B, sets the user account P as a following user account of the user account B, and pushes the consumption content of the specified tagged user account to the following user account of the specified tagged user account in real time, specifically, when the user account B approves the content, or the user account B collects the content, or the user account B reviews the content, the electronic device obtains the content approved by the user account B, or the content collected by the user account B, or the content reviewed by the user account B in real time, and pushes the content approved by the user account B, or the content reviewed by the user account B, to the following user account of the user account B, specifically, the electronic device may push the acquired consumption content of the specified tag user account to the following user account of the specified tag user account in real time, or may periodically push the historical consumption content of the specified tag user account to the following user account of the specified tag user account.
In a possible embodiment, the method further includes:
acquiring a follow-up cancellation instruction of a current user account aiming at a user account with a specified label;
and step two, in response to the follow-up canceling instruction, deleting the current user account from the follow-up user account of the appointed tag user account.
When the current user account follows the appointed label user account, the consumption content of the appointed label user account is found not to meet own interest, the current user account can cancel following of the followed appointed label user account, after the current user account cancels following of the appointed label user account, a follow-up cancellation instruction of the current user account for the appointed label user account is obtained, the current user account is deleted from the follow-up user account of the appointed label user account in response to the follow-up cancellation instruction, then the consumption content of the appointed label user account pushed to the follow-up user account of the appointed label user account is cancelled at any time, and the recommended content is adjusted more quickly, so that accurate content with higher satisfaction degree of the current user account is recommended as soon as possible.
In a possible embodiment, the method further includes:
and displaying the consumption content of the specified tag user account in a preset target area, wherein the preset target area is used for displaying the consumption content of the specified tag user account.
The consumption content of the specified tag user account is displayed in a preset target area, the preset target area is used for displaying the consumption content of the specified tag user account, so that the target user account can view the consumption content of the specified tag user account in the preset target area, for example, the consumption content of the specified tag user account is arranged in the preset target area, when the current user account is a new user account, the historical consumption content of the specified tag user account can be looked up in the preset target area, so that the cold start process of the new user account is accelerated, and the retention of the new user account and the overall activity of a platform are improved. When the current user account is an old user account, historical consumption content of the specified label user account can be consulted in a preset target area, so that information flow of the old user account is optimized, the information callus effect of the old user account is avoided, and the old user account can find more wonderful content.
Fig. 3 is a block diagram illustrating a content recommendation apparatus according to an exemplary embodiment, referring to fig. 3, the apparatus including: the system comprises a first display module 310, a first acquisition module 320 and a pushing module 330.
A first presentation module 310 configured to present, to a current user account, a labeled user account corresponding to each domain classification;
the first acquisition module 320 is configured to acquire a following instruction of the current user account for the specified tag user account;
the pushing module 330 is configured to, in response to the following instruction, push the consumption content of the specified tagged user account to the current user account.
In a possible embodiment, the above apparatus further comprises:
the acquisition module is configured to acquire preset domain classifications;
and the determining module is configured to respectively determine the user accounts reaching preset conditions aiming at the field classifications to obtain the user accounts of the field classification labels.
In a possible implementation manner, the consumption content of the specified tag user account includes:
the content complied with by the specified tag user account, the content collected by the specified tag user account, and the content commented by the specified tag user account may be one or more items.
In a possible implementation manner, the pushing module 330 is specifically configured to:
responding to the following instruction, and setting the current user account as a following user account of the specified tag user account;
and pushing the consumption content of the specified label user account to the following user account of the specified label user account in real time.
In a possible embodiment, the above apparatus further comprises:
the second acquisition module is configured to acquire a follow-up cancellation instruction of the current user account for the user account with the specified label;
and the deleting module is configured to respond to the follow-up canceling instruction and delete the current user account from the follow-up user account of the specified tag user account.
In a possible embodiment, the above apparatus further comprises:
and the second display module is configured to display the consumption content of the specified tag user account in a preset target area, and the preset target area is used for displaying the consumption content of the specified tag user account.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
An embodiment of the present application further provides an electronic device, including: a processor, a communication interface, a memory and a communication bus, wherein, the processor, the communication interface and the memory complete the mutual communication through the communication bus,
the memory is used for storing computer programs;
the processor is configured to implement the following steps when executing the computer program stored in the memory:
displaying the labeled user accounts corresponding to the classification of each field to the current user account;
acquiring a following instruction of a current user account aiming at a user account with a specified label;
and responding to the following instruction, and pushing the consumption content of the appointed label user account to the current user account.
Optionally, the processor, when being configured to execute the program stored in the memory, may further implement any of the content recommendation methods described above.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
Fig. 4 is a block diagram illustrating a first type of electronic device, see fig. 4, according to an example embodiment, where the electronic device 800 may be, for example, a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and/or the like.
Referring to fig. 4, electronic device 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, images, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 806 provides power to the various components of the electronic device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.
The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and a user as described above. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of the touch or slide action but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 800 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the electronic device 800. For example, the sensor assembly 814 may detect an open/closed status of the electronic device 800, the relative positioning of components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in the position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user account contact with the electronic device 800, orientation or acceleration/deceleration of the electronic device 800, and a change in the temperature of the electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 may access a wireless network based on a communication standard, such as WiFi, a carrier network (such as 2G, 3G, 4G, or 5G), or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the above-mentioned communication component 816 further comprises a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing any of the above-described content recommendation methods in the above-described embodiments.
FIG. 5 is a schematic diagram illustrating a second type of electronic device, according to an example embodiment. For example, the electronic device 900 may be provided as a server. Referring to fig. 5, electronic device 900 includes a processing component 922, which further includes one or more processors, and memory resources, represented by memory 932, for storing instructions, such as applications, that are executable by processing component 922. The application programs stored in memory 932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 922 is configured to execute the instructions to perform any of the above-described content recommendation methods in the above-described embodiments.
The electronic device 900 may also include a power component 926 configured to perform power management of the electronic device 900, a wired or wireless network interface 950 configured to connect the electronic device 900 to a network, and an input/output (I/O) interface 958. The electronic device 900 may operate based on an operating system stored in the memory 932, such as a Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or similar operating system.
In an embodiment of the present disclosure, there is also provided a storage medium having instructions stored therein, which when run on a computer, cause the computer to perform any one of the above-described content recommendation methods in the above-described embodiments. In an exemplary embodiment, a storage medium comprising instructions, such as the memory 804 comprising instructions, executable by the processor 820 of the electronic device 800 to perform the above-described method is also provided. Alternatively, the storage medium may be, for example, a non-transitory computer-readable storage medium, such as a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an embodiment of the present disclosure, there is also provided a computer program product containing instructions, which when run on a computer, cause the computer to execute any of the above-mentioned content recommendation methods in the above-mentioned embodiments.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A content recommendation method, comprising:
displaying the labeled user accounts corresponding to the classification of each field to the current user account;
acquiring a following instruction of a current user account aiming at a user account with a specified label;
and responding to the following instruction, and pushing the consumption content of the specified tag user account to the current user account.
2. The method of claim 1, wherein before presenting the current user account with the labeled user accounts corresponding to the domain classifications, the method further comprises:
acquiring preset domain classifications;
and respectively determining the user accounts which reach preset conditions aiming at the field classifications to obtain the user accounts of the field classification labels.
3. The method of claim 1, wherein the specifying the consumption content of the tag user account comprises:
the content complied with by the specified tag user account, the content collected by the specified tag user account, and one or more of the content commented by the specified tag user account.
4. The method of claim 1, wherein the pushing the consumed content of the specified tagged user account to the current user account in response to the follow instruction comprises:
responding to the following instruction, and setting the current user account as a following user account of the specified tag user account;
and pushing the consumption content of the specified label user account to the following user account of the specified label user account in real time.
5. The method of claim 4, further comprising:
acquiring a follow-up cancellation instruction of a current user account aiming at a user account with a specified label;
and in response to the follow-up canceling instruction, deleting the current user account from the follow-up user accounts of the specified tag user account.
6. The method according to any one of claims 1-5, further comprising:
and displaying the consumption content of the specified tag user account in a preset target area, wherein the preset target area is used for displaying the consumption content of the specified tag user account.
7. A content recommendation apparatus characterized by comprising:
the first display module is configured to display the label user account corresponding to each field classification to the current user account;
the first acquisition module is configured to acquire a following instruction of a current user account for a specified tag user account;
a pushing module configured to push the consumption content of the specified tag user account to the current user account in response to the following instruction.
8. The apparatus of claim 7, further comprising:
the acquisition module is configured to acquire preset domain classifications;
and the determining module is configured to respectively determine the user accounts reaching preset conditions for the field classifications to obtain the user accounts of the field classification labels.
9. An electronic device, comprising: a processor, a communication interface, a memory, and a communication bus, wherein,
the processor, the communication interface and the memory complete mutual communication through a communication bus;
a memory configured to store a computer program;
a processor configured to implement the content recommendation method of any one of claims 1-6 when executing a program stored on the memory.
10. A storage medium having stored therein a computer program which, when executed by a processor, implements the content recommendation method of any one of claims 1-6.
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