CN111797308B - Resource recommendation method and device, electronic equipment and medium - Google Patents
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Abstract
The disclosure relates to a resource recommendation method, a device, an electronic device and a medium, relates to the field of information technology, and is used for solving the problem that resource recommendation is not accurate enough in the related art, and the disclosure comprises the following steps: determining a resource set corresponding to the search information, selecting a first candidate resource from the resource set according to preset operations executed by each account on the resources in the resource set, determining a search intention corresponding to an intention rule conforming to the resource information of the first candidate resource, taking the search intention as the search intention corresponding to the search information, selecting a second candidate resource from the resource set according to the search intention corresponding to the search information, adjusting recommendation parameters corresponding to the second candidate resource, and recommending the resources according to the recommendation parameters of the resources in the resource set. Because the recommendation parameters are adjusted for the selected second candidate resources according to the search intention, the resources which are more in line with the search intention of the user are recommended to the user preferentially, so that the resources can be recommended to the user more accurately, and the recommendation efficiency is improved.
Description
Technical Field
The present invention relates to the field of information technologies, and in particular, to a method, an apparatus, an electronic device, and a medium for recommending resources.
Background
In the recommended scene or the searching scene, the platform searches objects according to preset rules through search words input by a user, sorts the searched objects, and finally displays the sorted objects to the user.
The objects to be searched are ranked in order to predict the objects that the user wants to search. Currently, when predicting an object that a user wants to search, it is common practice to score each object, and rank the object with the highest score at the front end of the terminal display area, that is, recommend the object with the high score to the user preferentially.
For example, when a user inputs a search word in the fast-handing platform, after the fast-handing platform searches a plurality of video resources according to the search word input by the user, scoring each searched video resource according to information such as click rate, praise rate and attention rate of the video, and ordering the searched video resources according to the score.
However, video resources are recommended to the user only according to the click rate, the praise rate, the attention rate and other information of the videos, and some videos are not searched by the user, so that the resource information cannot be accurately recommended to the user.
Disclosure of Invention
The invention provides a resource recommendation method, device, equipment and medium, which at least solve the problem that the resource recommendation in the related technology is inaccurate. The technical scheme of the present disclosure is as follows:
according to a first aspect of an embodiment of the present disclosure, there is provided a resource recommendation method, including:
determining a resource set corresponding to the search information;
selecting a first candidate resource from the resource set according to preset operations executed by each account on the resources in the resource set;
determining a search intention corresponding to an intention rule which accords with the resource information of the first candidate resource, and taking the search intention as the search intention corresponding to the search information;
selecting a second candidate resource from the resource set according to the search intention corresponding to the search information, and adjusting a recommendation parameter corresponding to the second candidate resource;
and recommending the resources according to the recommended parameters of the resources in the resource set.
In an alternative embodiment, a second candidate resource in the set of resources that meets the search intent is determined by:
and taking the resource corresponding to the resource information of the first candidate resource in the resource set as a second candidate resource conforming to the searching intention.
In an optional embodiment, the selecting, according to the search intention corresponding to the search information, a second candidate resource from the resource set includes:
and selecting a second candidate resource conforming to the search intention from the resource set.
In an optional implementation manner, the adjusting the recommended parameter corresponding to the second candidate resource includes:
and increasing and adjusting recommended parameters corresponding to the second candidate resources by using a preset first weight.
In an optional embodiment, the selecting, according to the search intention corresponding to the search information, a second candidate resource from the resource set includes:
and selecting a second candidate resource which does not accord with the searching intention from the resource set.
In an optional implementation manner, the adjusting the recommended parameter corresponding to the second candidate resource includes:
and reducing and adjusting recommended parameters corresponding to the second candidate resources by using a preset second weight.
In an alternative embodiment, the recommended parameters corresponding to the second candidate resource are determined by:
and determining recommended parameters corresponding to the second candidate resources according to the operation parameters, wherein the operation parameters are operation parameters for executing preset operation on the second candidate resources by each account.
According to a second aspect of the embodiments of the present disclosure, there is provided a resource recommendation apparatus, including:
a determining unit configured to perform determining a resource set corresponding to the search information;
a selection unit configured to perform a preset operation performed on resources in the resource set according to each account, and select a first candidate resource from the resource set;
a processing unit configured to execute a search intention corresponding to an intention rule that determines that resource information of the first candidate resource conforms to, and take the search intention as a search intention corresponding to the search information;
an adjustment unit configured to perform selection of a second candidate resource from the resource set according to a search intention corresponding to the search information, and adjust a recommendation parameter corresponding to the second candidate resource;
and the recommending unit is configured to execute resource recommendation according to the recommending parameters of the resources in the resource set.
In an alternative embodiment, a second candidate resource in the set of resources that meets the search intent is determined by:
and taking the resource corresponding to the resource information of the first candidate resource in the resource set as a second candidate resource conforming to the searching intention.
In an alternative embodiment, the adjusting unit is specifically configured to perform:
and selecting a second candidate resource conforming to the search intention from the resource set.
In an alternative embodiment, the adjusting unit is specifically configured to perform:
and increasing and adjusting recommended parameters corresponding to the second candidate resources by using a preset first weight.
In an alternative embodiment, the adjusting unit is specifically configured to perform:
and selecting a second candidate resource which does not accord with the searching intention from the resource set.
In an alternative embodiment, the adjusting unit is specifically configured to perform:
and reducing and adjusting recommended parameters corresponding to the second candidate resources by using a preset second weight.
In an alternative embodiment, the recommended parameters corresponding to the second candidate resource are determined by:
and determining recommended parameters corresponding to the second candidate resources according to the operation parameters, wherein the operation parameters are operation parameters for executing preset operation on the second candidate resources by each account.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the resource recommendation method of any one of the first aspects of the embodiments of the present disclosure.
According to a fourth aspect of embodiments of the present disclosure, there is provided a non-transitory readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the resource recommendation method of any one of the first aspects of embodiments of the present disclosure.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product which, when run on an electronic device, causes the electronic device to perform a method of implementing the above-described first aspect and any one of the possible concerns of the first aspect of embodiments of the present disclosure.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
in the embodiment of the disclosure, a resource set corresponding to search information is first determined, then a first candidate resource is selected from the resource set according to preset operations executed by each account on resources in the resource set, a search intention corresponding to an intention rule conforming to the resource information of the first candidate resource is determined, the search intention is used as the search intention corresponding to the search information, then a second candidate resource is selected from the resource set according to the search intention corresponding to the search information, recommended parameters corresponding to the second candidate resource are adjusted, and finally resource recommendation is performed according to the recommended parameters of the resources in the resource set. Because the second candidate resource is subjected to adjustment of the recommendation parameters according to the search intention, the resource which is more in line with the search intention of the search user is recommended to the search user preferentially, so that the resource can be recommended to the user more accurately, and the recommendation efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it will be apparent that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an application scenario shown in accordance with an exemplary embodiment;
FIG. 2 is a flowchart illustrating a resource recommendation method, according to an example embodiment;
FIG. 3 is a complete method flow diagram illustrating a resource recommendation according to an exemplary embodiment;
FIG. 4 is a block diagram of a resource recommendation device, according to an example embodiment;
FIG. 5 is a block diagram of an electronic device, shown in accordance with an exemplary embodiment;
fig. 6 is a block diagram of a terminal device, according to an example embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
Some words appearing hereinafter are explained:
1. the term "and/or" in the embodiments of the present disclosure describes an association relationship of association objects, which indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
2. "determining B from a" in the embodiments of the present disclosure does not mean that B is determined from a alone, but B may also be determined from a and other information; "A includes B" does not mean that A includes only B, but that A may also include other information, such as C, D, etc.
3. The term "electronic device" in embodiments of the present disclosure may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.
The application scenario described in the embodiments of the present disclosure is for more clearly describing the technical solution of the embodiments of the present disclosure, and does not constitute a limitation on the technical solution provided by the embodiments of the present disclosure, and as a person of ordinary skill in the art can know that, with the appearance of a new application scenario, the technical solution provided by the embodiments of the present disclosure is equally applicable to similar technical problems. Wherein in the description of the present disclosure, unless otherwise indicated, the meaning of "plurality" is used.
Fig. 1 is a schematic view of an application scenario of an embodiment of the disclosure. The application scenario diagram includes two terminal devices 110 and a server 130, and a user can log in the relevant interface 120 through the terminal devices 110. Communication between the terminal device 110 and the server 130 may be performed through a communication network.
In an alternative embodiment, the communication network may be a wired network or a wireless network.
In the embodiment of the present disclosure, the terminal device 110 is an electronic device used by a user, and the electronic device may be a computer device having a certain computing capability, such as a personal computer, a mobile phone, a tablet computer, a notebook, an electronic book reader, and the like, and running instant messaging software and a website or social software and a website. Each terminal device 110 is connected to a server 130 through a wireless network, where the server 130 is a server cluster or cloud computing center formed by one server or several servers, or is a virtualization platform.
In the embodiment of the disclosure, after receiving the search information input by the user, the terminal device 110 sends the search information to the server 130, and the server 130 may search for an object conforming to the search word according to the search information, then sort the searched objects, and finally send the sorting result to the terminal device 110, and then display the sorting result to the user through the interface 120 by the terminal device 110.
Fig. 2 is a flowchart illustrating a resource recommendation method, as shown in fig. 2, according to an exemplary embodiment, including the following steps.
In step S21, a set of resources corresponding to the search information is determined.
The search information here is information input by the user through the terminal device, and may be a search word, or may be information such as numbers, letters, symbols, and the like.
After the user inputs the search information through the terminal equipment, the terminal equipment sends the search information to the server, and the server determines a resource set corresponding to the search information according to the search information.
When the resource set corresponding to the search information is determined, the determination can be performed according to a preset rule, for example, according to the matching degree of the search information and the resource title or the matching degree of the search information and the resource text, and if the matching degree exceeds a threshold value, the resource is used as the resource corresponding to the search information.
Wherein, the preset rules and the threshold values can be manually preconfigured in the server.
Since one search information may correspond to a plurality of resources, it is determined that the set of resources to which the search information corresponds.
In step S22, a first candidate resource is selected from the set of resources according to preset operations performed by the respective accounts on the resources in the set of resources.
In step S23, a search intention corresponding to an intention rule that the resource information of the first candidate resource conforms to is determined, and the search intention is taken as a search intention corresponding to the search information.
The search intent herein may be the intent of a resource that the user wants to search for, such as, in a live platform, the intent of a work that the user wants to search for popular users to post, the intent of a work that the user wants to post at a geographic location, the intent of a work that the user wants to search for a type of work.
The preset operation may be a clicking operation of the user on the resource, for example, the resource is a video resource, and the preset operation may be an operation of the user for clicking and watching the video resource, an operation of the user for clicking and approving the video resource, or an operation of the user for clicking and focusing on the video resource.
If the resource is a video resource, the resource information for the resource may include a click through rate and/or a number of accounts that are of interest to the account that issued the video resource.
If the resource is a video resource, the intent rule may be that the click rate is greater than or equal to M and/or that the number of accounts focused on by the account publishing the video resource is greater than or equal to N, where M and N are positive integers. Here, M and N may be empirical values.
How to determine the search intention corresponding to the search information is exemplified below.
Taking video resources as an example, firstly, according to historical information<query,video,click>(query represents a search term, video represents a video, click represents whether or not clicked), and any one of the queries within a predetermined time period is determined i Pressing video i Statistics of click-through for each video i . Obtaining query i Video with highest click rate j Through video j Corresponding click-through j Computing video j Click Ratio of (C) j . Obtaining published video j Fan amount fan corresponding to account number j . The intention rule corresponding to the intention of the hot user is clickRatio j Not less than M and fas j And (5) not less than N. If video is calculated j Click Ratio of (C) j Not less than M, and the obtained release video j Fan amount fan corresponding to account number j And if not less than N, the search intention corresponding to the search word query is a popular user intention. Can be represented by the following expression:
wherein, hit Bigv represents a hot user.
In implementation, after the search intention corresponding to the search information is determined, resources meeting the search intention in the resource set can be determined.
Specifically, in the resource set, the resource corresponding to the resource information of the selected first candidate resource is used as a second candidate resource conforming to the searching intention.
For example, if the first candidate resource is resource 1 and the resource information is account a for publishing resource 1, the resource published by account a is used as the second candidate resource meeting the search intention.
In step S24, a second candidate resource is selected from the resource set according to the search intention corresponding to the search information, and the recommendation parameter corresponding to the second candidate resource is adjusted.
In implementation, the second candidate resource is selected from the resource set according to the search intention corresponding to the search information, and the recommendation parameter corresponding to the selected second candidate resource is adjusted, which can be selected and adjusted in the following two ways.
A mode one,
And selecting a second candidate resource conforming to the search intention from the resource set, and then increasing and adjusting recommended parameters corresponding to the selected second candidate resource by using a preset first weight.
For example, there are 5 resources in the resource set, which are respectively 1 resource, 2 resource, 3 resource, 4 resource and 5 resource, and the recommended parameters corresponding to the resources are respectively 1 recommended parameter, 2 recommended parameter, 3 recommended parameter, 4 recommended parameter and 5 recommended parameter. And the selected second candidate resources conforming to the intention are the second candidate resource 1 and the second candidate resource 2, the recommendation parameter 1 is multiplied by a preset first weight larger than 1, and the recommendation parameter 2 is multiplied by a preset first weight larger than 1, so that the recommendation parameters 3, 4 and 5 are unchanged.
The preset first weight is a value greater than 1 due to the incremental adjustment performed on the second candidate resource. The first weight preset here to be greater than 1 may be 1.2.
Because the recommendation parameters of the second candidate resources conforming to the search intention are increased and adjusted, the resources conforming to the search intention can be recommended to the searching user preferentially, so that the recommendation can be more accurate.
A second mode,
And selecting a second candidate resource which does not accord with the searching intention from the resource set, and then reducing and adjusting recommended parameters corresponding to the selected second candidate resource by using a preset second weight.
The second weight preset here is a value less than 1 due to the reduced adjustment made to the second candidate resource.
Because the recommendation parameters of the candidate resources which do not accord with the search intention are reduced and adjusted, the resources which accord with the search intention can be recommended to the searching user preferentially, so that the recommendation can be more accurate.
In step S25, resource recommendation is performed according to the recommendation parameters of the resources in the resource set.
In specific implementation, the plurality of resources may be ranked according to the size of the recommendation parameter of each resource, for example, the larger the recommendation parameter is, the smaller the recommendation order is, that is, the resource with the larger recommendation parameter is preferentially recommended to the account.
In one possible implementation, after determining the recommended order of the plurality of resources, the plurality of resources is presented according to the recommended order.
In specific implementation, all resources can be displayed to the account according to the recommendation order, and a preset number of resources can be displayed to the account according to the recommendation order.
In a possible implementation manner, the recommended parameters corresponding to the resources can be determined according to the operation parameters, wherein the operation parameters are operation parameters for executing preset operation on the resources by each account.
Taking a live broadcast platform as an example, the preset operation can be click watching of the resource, praise of the resource, attention to the resource, and any combination of the three.
Specifically, the operation parameters of the preset operation performed on the resource in the preset time can be weighted and summed, and the recommended parameters corresponding to the resource are determined.
In the embodiment of the disclosure, firstly, a resource set corresponding to search information is determined, then, a first candidate resource is selected from the resource set according to preset operations executed by each account on resources in the resource set, the search intention corresponding to the intention rule conforming to the resource information of the selected first candidate resource is determined, the determined search intention is used as the search intention corresponding to the search information, then, a second candidate resource is selected from the resource set according to the search intention corresponding to the search information, recommended parameters corresponding to the selected second candidate resource are adjusted, and finally, resource recommendation is performed according to the recommended parameters of the resources in the resource set. Because the second candidate resource is selected according to the search intention to adjust the recommendation parameters, the resources which are more in line with the search intention of the search user are recommended to the search user preferentially, so that the resources can be recommended to the user more accurately, and the recommendation efficiency is improved.
FIG. 3 is a flowchart of a complete method of resource recommendation, according to an exemplary embodiment, specifically comprising the steps of:
s31, determining a resource set corresponding to the search information;
s32, determining recommended parameters corresponding to the resources in the resource set according to the operation parameters, wherein the operation parameters are operation parameters for executing preset operation on the resources by each account;
s33, selecting a first candidate resource from the resource set according to preset operations executed by each account on the resources in the resource set;
s34, taking the search intention corresponding to the intention rule which accords with the resource information of the first candidate resource as the search intention corresponding to the search information;
s35, taking the resource corresponding to the resource information of the first candidate resource selected according to the preset operation in the resource set as a second candidate resource conforming to the searching intention;
s36, selecting a second candidate resource conforming to the search intention from the resource set;
s37, increasing and adjusting recommended parameters corresponding to the selected second candidate resources by using a preset first weight;
s38, recommending the resources according to the recommended parameters of the resources in the resource set.
It should be noted that S36 may be replaced by selecting a resource that does not conform to the search intention from the resource set; if S36 is replaced by the above method, S37 is replaced by reducing and adjusting the recommended parameters corresponding to the selected second candidate resources by using a preset second weight.
In particular implementations, the above method may be used to train a precision ordering model, which is then used to recommend resources for searching users. It should be noted that, a marking feature may be added to the precision ordering model during the training process, so as to mark whether the recommended parameters are weighted or downweighted. This can be represented by the following means:
wherein feature is <query,video> For searching the features of the video in the information query, if the user searches for intent, the feature is marked as 1, otherwise, the feature is marked as 0. In the training process of the neural network model, the recommendation parameters are weighted or reduced by the marks, so that the accurate ordering model can better capture the weight raising information of a recommendation resource in a specified query.
Fig. 4 is a block diagram illustrating a resource recommendation device 400, according to an example embodiment. Referring to fig. 4, the apparatus includes an image determining unit 401, a processing unit 402, an adjusting unit 403, and a recommending unit 404.
A determining unit 401 configured to perform determining a resource set corresponding to the search information;
a selection unit 402 configured to perform a preset operation performed on the resources in the resource set according to each account, and select a first candidate resource from the resource set;
a processing unit 403 configured to execute a search intention corresponding to an intention rule that determines that resource information of a first candidate resource conforms to, and take the search intention as a search intention corresponding to the search information;
an adjustment unit 404 configured to perform selection of a second candidate resource from the resource set according to a search intention corresponding to the search information, and adjust a recommendation parameter corresponding to the second candidate resource;
and a recommending unit 405 configured to perform resource recommendation according to the recommended parameters of the resources in the resource set.
In an alternative embodiment, a second candidate resource in the set of resources that meets the search intent is determined by:
and taking the resource corresponding to the resource information of the first candidate resource selected according to the preset operation in the resource set as a second candidate resource conforming to the searching intention.
In an alternative embodiment, the adjusting unit 404 is specifically configured to perform:
and selecting a second candidate resource conforming to the search intention from the resource set.
In an alternative embodiment, the adjusting unit 404 is specifically configured to perform:
and increasing and adjusting recommended parameters corresponding to the second candidate resources by using a preset first weight.
In an alternative embodiment, the adjusting unit 404 is specifically configured to perform:
and selecting a second candidate resource which does not accord with the searching intention from the resource set.
In an alternative embodiment, the adjusting unit 404 is specifically configured to perform:
and reducing and adjusting recommended parameters corresponding to the second candidate resources by using a preset second weight.
In an alternative embodiment, the recommended parameters corresponding to the second candidate resource are determined by:
and determining recommended parameters corresponding to the second candidate resources according to the operation parameters, wherein the operation parameters are operation parameters for executing preset operation on the candidate resources by each account.
The specific manner in which the respective units execute the requests in the apparatus of the above embodiment has been described in detail in the embodiment concerning the method, and will not be described in detail here.
Fig. 5 is a block diagram of an electronic device 500, shown according to an exemplary embodiment, comprising:
a processor 501;
a memory 502 for storing instructions executable by the processor 501;
wherein the processor 501 is configured to execute instructions to implement any one of the resource recommendation methods in the embodiments of the present disclosure.
In an exemplary embodiment, a storage medium is also provided, such as a memory 502, comprising instructions executable by the processor 501 of the electronic device 500 to perform the above-described method. Alternatively, the storage medium may be a non-transitory computer readable storage medium, for example, a ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.
In an embodiment of the present disclosure, a terminal device is further provided, a structure of which is shown in fig. 6, and a terminal 600 for resource recommendation is provided in an embodiment of the present disclosure, including: radio Frequency (RF) circuitry 610, a power supply 620, a processor 630, a memory 640, an input unit 650, a display unit 660, a camera 670, a communication interface 680, a wireless fidelity (Wireless Fidelity, wi-Fi) module 690, and the like. It will be appreciated by those skilled in the art that the structure of the terminal shown in fig. 6 is not limiting of the terminal, and that the terminal provided by the embodiments of the present disclosure may include more or less components than illustrated, or may combine certain components, or may be arranged in different components.
The following describes the respective constituent elements of the terminal 600 in detail with reference to fig. 6:
the RF circuitry 610 may be used for receiving and transmitting data during a communication or session. Specifically, the RF circuit 610, after receiving the downlink data of the base station, sends the downlink data to the processor 630 for processing; in addition, uplink data to be transmitted is transmitted to the base station. Typically, the RF circuitry 610 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (Low Noise Amplifier, LNA), a duplexer, and the like.
In addition, the RF circuit 610 may also communicate with networks and other terminals through wireless communication. The wireless communication may use any communication standard or protocol including, but not limited to, global system for mobile communications (Global System of Mobile communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code division multiple access (Code Division Multiple Access, CDMA), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA), long term evolution (Long Term Evolution, LTE), email, short message service (Short Messaging Service, SMS), and the like.
The Wi-Fi technology belongs to a short-distance wireless transmission technology, and the terminal 600 can be connected with an Access Point (AP) through a Wi-Fi module 690, thereby realizing Access to a data network. Wi-Fi module 690 may be used for receiving and transmitting data during communication.
Terminal 600 may be physically connected to other terminals through communication interface 680. Optionally, the communication interface 680 is connected with communication interfaces of other terminals through a cable, so as to implement data transmission between the terminal 600 and the other terminals.
Since the terminal 600 is capable of implementing a communication service and transmitting information to other contacts in the embodiment of the present disclosure, the terminal 600 needs to have a data transmission function, i.e., the terminal 600 needs to include a communication module therein. Although fig. 6 illustrates communication modules such as RF circuitry 610, wi-Fi module 690, and communication interface 680, it will be appreciated that at least one of the above components or other communication modules (e.g., bluetooth modules) for enabling communication are present in terminal 600 for data transmission.
For example, when the terminal 600 is a mobile phone, the terminal 600 may include the RF circuit 610 and may further include the Wi-Fi module 690; when the terminal 600 is a computer, the terminal 600 may include a communication interface 680 and may further include a Wi-Fi module 690; when the terminal 600 is a tablet computer, the terminal 600 may include a Wi-Fi module.
Memory 640 may be used to store software programs and modules. The processor 630 performs various functional applications and data processing of the terminal 600 by running software programs and modules stored in the memory 640, and when the processor 630 executes program codes in the memory 640, part or all of the processes in fig. 2 of the embodiments of the present disclosure can be implemented.
Alternatively, the memory 640 may mainly include a storage program area and a storage data area. The storage program area can store an operating system, various application programs (such as communication application), a face recognition module and the like; the storage data area may store data created according to the use of the terminal (such as multimedia files such as various pictures, video files, and the like, and face information templates), and the like.
In addition, memory 640 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The input unit 650 may be used to receive numeric or character information input by a user and to generate key signal inputs related to user settings and function control of the terminal 600.
Alternatively, the input unit 650 may include a touch panel 651 and other input terminals 652.
The touch panel 651, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (such as operations of the user on the touch panel 651 or thereabout by using any suitable object or accessory such as a finger, a stylus, etc.), and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 651 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device and converts it into touch point coordinates, which are then sent to the processor 630, and can receive commands from the processor 630 and execute them. Further, the touch panel 651 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave.
Alternatively, other input terminals 652 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc.
The display unit 660 may be used to display information input by a user or information provided to the user and various menus of the terminal 600. The display unit 660 is a display system of the terminal 600, and is used for presenting an interface to realize man-machine interaction.
The display unit 660 may include a display panel 661. Alternatively, the display panel 661 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an Organic Light-Emitting Diode (OLED), or the like.
Further, the touch panel 651 may overlay the display panel 661, and when a touch operation is detected on or near the touch panel 651, the touch operation is transmitted to the processor 630 to determine the type of touch event, and then the processor 630 provides a corresponding visual output on the display panel 661 according to the type of touch event.
Although in fig. 6, the touch panel 651 and the display panel 661 implement the input and output functions of the terminal 600 as two separate components, in some embodiments, the touch panel 651 may be integrated with the display panel 661 to implement the input and output functions of the terminal 600.
The processor 630 is a control center of the terminal 600, connects various components using various interfaces and lines, and performs various functions of the terminal 600 and processes data by running or executing software programs and/or modules stored in the memory 640 and calling data stored in the memory 640, thereby implementing various services based on the terminal.
Optionally, the processor 630 may include one or more processing units. Alternatively, the processor 630 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 630.
A camera 670 for implementing a photographing function of the terminal 600, and photographing pictures or videos. The camera 670 may also be used to perform a scanning function of the terminal 600 to scan a scanning object (two-dimensional code/bar code).
The terminal 600 also includes a power source 620 (e.g., a battery) for powering the various components. Alternatively, the power supply 620 may be logically connected to the processor 630 through a power management system, so that functions of managing charging, discharging, and power consumption are performed through the power management system.
It should be noted that the processor 630 according to the embodiment of the disclosure may perform the functions of the processor 501 in fig. 5, and the memory 640 stores the content in the memory 502.
The disclosed embodiments also provide a computer program product that, when run on an electronic device, causes the electronic device to perform a method that may be involved in implementing any one of the resource building methods or any one of the resource recommendation methods described in the disclosed 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 disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general 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 is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (16)
1. A resource recommendation method, the method comprising:
determining a resource set corresponding to the search information;
selecting a first candidate resource from the resource set according to preset operations executed by each account on the resources in the resource set;
determining a search intention corresponding to an intention rule which accords with the resource information of the first candidate resource, and taking the search intention as the search intention corresponding to the search information;
selecting a second candidate resource from the resource set according to the search intention corresponding to the search information, and adjusting a recommendation parameter corresponding to the second candidate resource;
and recommending the resources according to the recommended parameters of the resources in the resource set.
2. The method of claim 1, wherein the second candidate resource in the set of resources that meets the search intent is determined by:
and taking the resource corresponding to the resource information of the first candidate resource in the resource set as a second candidate resource conforming to the searching intention.
3. The method of claim 1, wherein the selecting a second candidate resource from the set of resources according to the search intent corresponding to the search information comprises:
and selecting a second candidate resource conforming to the search intention from the resource set.
4. The method of claim 3, wherein the adjusting the recommended parameter corresponding to the second candidate resource comprises:
and increasing and adjusting recommended parameters corresponding to the second candidate resources by using a preset first weight.
5. The method of claim 1, wherein the selecting a second candidate resource from the set of resources according to the search intent corresponding to the search information comprises:
and selecting a second candidate resource which does not accord with the searching intention from the resource set.
6. The method of claim 3, wherein the adjusting the recommended parameter corresponding to the second candidate resource comprises:
and reducing and adjusting recommended parameters corresponding to the second candidate resources by using a preset second weight.
7. The method according to any one of claims 1 to 6, wherein the recommended parameters corresponding to the second candidate resource are determined by:
and determining recommended parameters corresponding to the second candidate resources according to the operation parameters, wherein the operation parameters are operation parameters for executing preset operation on the second candidate resources by each account.
8. A resource recommendation device, the device comprising:
a determining unit configured to perform determining a resource set corresponding to the search information;
a selection unit configured to perform a preset operation performed on resources in the resource set according to each account, and select a first candidate resource from the resource set;
a processing unit configured to execute a search intention corresponding to an intention rule that determines that resource information of the first candidate resource conforms to, and take the search intention as a search intention corresponding to the search information;
an adjustment unit configured to perform selection of a second candidate resource from the resource set according to a search intention corresponding to the search information, and adjust a recommendation parameter corresponding to the second candidate resource;
and the recommending unit is configured to execute resource recommendation according to the recommending parameters of the resources in the resource set.
9. The apparatus of claim 8, wherein the second candidate resource in the set of resources that meets the search intent is determined by:
and taking the resource corresponding to the resource information of the first candidate resource in the resource set as a second candidate resource conforming to the searching intention.
10. The apparatus according to claim 8, wherein the adjustment unit is specifically configured to perform:
and selecting a second candidate resource conforming to the search intention from the resource set.
11. The apparatus according to claim 10, wherein the adjustment unit is specifically configured to perform:
and increasing and adjusting recommended parameters corresponding to the second candidate resources by using a preset first weight.
12. The apparatus according to claim 8, wherein the adjustment unit is specifically configured to perform:
and selecting a second candidate resource which does not accord with the searching intention from the resource set.
13. The apparatus according to claim 12, wherein the adjustment unit is specifically configured to perform:
and reducing and adjusting recommended parameters corresponding to the second candidate resources by using a preset second weight.
14. The apparatus according to any one of claims 8 to 13, wherein the recommended parameter corresponding to the second candidate resource is determined by:
and determining recommended parameters corresponding to the second candidate resources according to the operation parameters, wherein the operation parameters are operation parameters for executing preset operation on the second candidate resources by each account.
15. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the resource recommendation method of any one of claims 1 to 7.
16. A storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the resource recommendation method of any one of claims 1 to 7.
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| CN113377976B (en) * | 2021-08-16 | 2022-09-09 | 北京达佳互联信息技术有限公司 | Resource searching method and device, computer equipment and storage medium |
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