CN113282826A - Game recommendation method and device and cloud server - Google Patents
Game recommendation method and device and cloud server Download PDFInfo
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- CN113282826A CN113282826A CN202110600082.3A CN202110600082A CN113282826A CN 113282826 A CN113282826 A CN 113282826A CN 202110600082 A CN202110600082 A CN 202110600082A CN 113282826 A CN113282826 A CN 113282826A
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
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- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
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- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
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Abstract
The embodiment of the invention provides a game recommendation method and device and a cloud server. Wherein the method comprises the following steps: extracting at least two keyword labels from text description information of a user input object; searching the at least two keyword labels according to the pre-stored mapping relation of each keyword label to obtain a game screenshot set; determining a candidate game set matched with game screenshots in the game screenshot set; determining a degree of match between each candidate game in the set of candidate games and the textual description information; searching the candidate game set according to the matching degree to obtain a target game set to be recommended; by using the method, secondary matching can be performed through the corresponding mapping game screenshot on the basis of the search text, so that the effective recommendation degree of the user in searching the game is improved, and the user can more easily acquire the game information according with the preference of the user.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a game recommendation method and device and a cloud server.
Background
In the game platform system, based on big data search, data capture is carried out based on the search parameters (such as search interest, search frequency, search results and the like) of the user, so that games are recommended to the player, which is a long-used game recommendation mode in the prior art. However, in the existing game platform system, a game name or a game tag is usually directly matched according to a search text input by a user, and a search result is directly output without considering other factors, so that the search result is homogeneous, a player may not obtain a desired search result, and the experience of the player is affected.
Disclosure of Invention
In order to overcome at least the above disadvantages in the prior art, the present invention provides a game recommendation method, device and cloud server.
In a first aspect, the present invention provides a game recommendation method, the method comprising:
extracting at least two keyword labels from text description information of a user input object;
searching the at least two keyword labels according to the pre-stored mapping relation of each keyword label to obtain a game screenshot set;
determining a candidate game set matched with game screenshots in the game screenshot set;
determining a degree of match between each candidate game in the set of candidate games and the textual description information;
and searching the candidate game set according to the matching degree to obtain a target game set to be recommended.
In a second aspect, the present invention provides a game recommendation device, the device comprising:
the first extraction module is used for extracting at least two keyword labels from the text description information of the user input object;
the first search module is used for searching the at least two keyword tags according to the prestored mapping relation of each keyword tag to obtain a game screenshot set;
the first matching module is used for determining a candidate game set matched with game screenshots in the game screenshot set;
a first search module, configured to determine a matching degree between each candidate game in the candidate game set and the text description information;
and the second searching module is used for searching the candidate game set according to the matching degree to obtain a target game set to be recommended.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, where instructions are stored, and when executed, cause a computer to execute the game recommendation method in the first aspect or any one of the possible designs of the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a cloud server, where the cloud server includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is configured to be communicatively connected to at least one game terminal, the machine-readable storage medium is configured to store a program, an instruction, or code, and the processor is configured to execute the program, the instruction, or the code in the machine-readable storage medium to perform the game recommendation method in the first aspect or any possible design of the first aspect.
Based on any one of the above aspects, the embodiment of the invention has the following beneficial effects: extracting at least two keyword labels from text description information of a user input object; searching the at least two keyword labels according to the pre-stored mapping relation of each keyword label to obtain a game screenshot set; determining a candidate game set matched with game screenshots in the game screenshot set; determining a degree of match between each candidate game in the set of candidate games and the textual description information; searching the candidate game set according to the matching degree to obtain a target game set to be recommended; by using the method, secondary matching can be performed through the corresponding mapping game screenshot on the basis of the search text, so that the effective recommendation degree of the user in searching the game is improved, and the user can more easily acquire the game information according with the preference of the user on the basis of the mapping relation between the game screenshot and the label.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic view of an application scenario of a game recommendation system according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a game recommendation method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of functional modules of a game recommendation device according to an embodiment of the present invention;
fig. 4 is a block diagram schematically illustrating a structure of a cloud server for implementing the game recommendation method according to the embodiment of the present invention.
Detailed Description
The present invention is described in detail below with reference to the drawings, and the specific operation methods in the method embodiments can also be applied to the apparatus embodiments or the system embodiments.
FIG. 1 is an interaction diagram of a game recommendation system 10 according to an embodiment of the present invention. The game recommendation system 10 may include a cloud server 100 and a game terminal 200 communicatively connected to the cloud server 100. The game recommendation system 10 shown in FIG. 1 is merely one possible example, and in other possible embodiments, the game recommendation system 10 may include only a portion of the components shown in FIG. 1 or may include other components.
In this embodiment, gaming terminal 200 may comprise a mobile device, a tablet computer, a laptop computer, etc., or any combination thereof. In some embodiments, the mobile device may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home devices may include control devices of smart electrical devices, smart monitoring devices, smart televisions, smart cameras, and the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, or the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a personal digital assistant, a gaming device, and the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include various virtual reality products and the like.
In this embodiment, the cloud server 100 and the game terminal 200 in the game recommendation system 10 may cooperatively perform the game recommendation method described in the following method embodiment, and for a specific step of the cloud server 100 and the game terminal 200, reference may be made to the detailed description of the following method embodiment.
To solve the technical problem in the foregoing background, fig. 2 is a flowchart illustrating a game recommendation method according to an embodiment of the present invention, where the game recommendation method provided in this embodiment may be executed by the cloud server 100 shown in fig. 1, and the game recommendation method is described in detail below.
Step S110, extracting at least two keyword labels from the text description information of the user input object;
step S120, searching the at least two keyword labels according to the prestored mapping relation of each keyword label to obtain a game screenshot set;
step S130, determining a candidate game set matched with the game screenshots in the game screenshot set;
step S140, determining the matching degree between each candidate game in the candidate game set and the text description information;
and S150, searching the candidate game set according to the matching degree to obtain a target game set to be recommended.
In one possible embodiment, the step S110 includes:
step S111, selecting the keyword label representing the game preference mechanism of the user input object and the keyword label representing the game preference background of the user input object from the text description information to obtain the at least two keyword labels.
In one possible embodiment, the step S120 includes:
step S121, sorting the pre-stored mapping relations of the keyword labels to obtain a first sorting result;
step S122, determining a first search probability according to the first sequencing result;
and S123, searching the at least two keyword labels by adopting the first search probability to obtain a game screenshot set.
In one possible embodiment, the step S140 includes:
step S141, determining keyword labels matched with the candidate games from the text description information;
and step S142, determining the matching degree between the candidate game and the text description information based on the number of the matched keyword tags.
In one possible embodiment, the step S140 includes:
step S143, determining the pre-stored mapping relation of the keyword labels matched with the candidate games in the text description information;
step S144, determining a matching degree between the candidate game and the text description information based on the pre-stored mapping relationship of the matched keyword tag.
In one possible embodiment, the step S150 includes:
step S151, ranking the matching degree between the candidate game and the text description information to obtain a second ranking result;
step S152, determining a second search probability according to the second sequencing result;
and step S153, searching the candidate game set by adopting the second search probability to obtain the target game set to be recommended.
In a possible embodiment, the step S150 further includes:
step S161, according to the matching degree between the target game and the text description information, ordering the target games in the target game set;
step S162, screening the sorted target game set according to the contents of the sorted target games to obtain a screened target game set;
and step S163, outputting the screened target game set.
Fig. 3 is a schematic diagram of functional modules of a game recommendation device 300 according to an embodiment of the present invention, and in this embodiment, the game recommendation device 300 may be divided into the functional modules according to a method embodiment executed by the cloud server 100, that is, the following functional modules corresponding to the game recommendation device 300 may be used to execute the method embodiments executed by the cloud server 100. The game recommendation device 300 may include a first extraction module 310, a first search module 320, a first matching module 330, a first determination module 340, and a second search module 350, and the functions of the functional modules of the game recommendation device 300 are described in detail below.
The first extraction module 310 may be configured to perform the step S110, namely, to extract at least two keyword tags from the text description information of the user input object.
The first searching module 320 may be configured to execute the step S120, that is, to search the at least two keyword tags according to the pre-stored mapping relationship of each keyword tag to obtain the game screenshot set.
The first matching module 330 may be configured to perform the step S130 described above, namely, to determine a candidate game set matching game shots in the game shot set.
The first determining module 340 may be configured to perform the step S140 described above, that is, configured to determine a matching degree between each candidate game in the candidate game set and the text description information.
The second searching module 350 may be configured to execute the step S150, that is, to search the candidate game set according to the matching degree to obtain a target game set to be recommended.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the first extraction module 310 may be a separate processing element, or may be integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and a processing element of the apparatus calls and executes the functions of the first extraction module 310. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can call the program code. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).
Fig. 4 is a schematic diagram illustrating a hardware structure of the cloud server 100 for implementing the control device, according to an embodiment of the present invention, as shown in fig. 4, the cloud server 100 may include a processor 110, a machine-readable storage medium 120, a bus 130, and a transceiver 140.
In a specific implementation process, at least one processor 110 executes computer-executable instructions stored in the machine-readable storage medium 120 (for example, included in the game recommendation device 300 shown in fig. 3), so that the processor 110 may execute the game recommendation method according to the above method embodiment, where the processor 110, the machine-readable storage medium 120, and the transceiver 140 are connected through the bus 130, and the processor 110 may be configured to control the transceiver action of the transceiver 140, so as to perform data transceiving with the game terminal 200.
For a specific implementation process of the processor 110, reference may be made to the above-mentioned method embodiments executed by the cloud server 100, and implementation principles and technical effects are similar, which are not described herein again.
In the embodiment shown in fig. 4, it should be understood that the processor may be a Central Processing Unit (CPU), other general-purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The machine-readable storage medium 120 may comprise high-speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus 130 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus 130 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
In addition, the embodiment of the invention also provides a readable storage medium, wherein the readable storage medium stores computer execution instructions, and when a processor executes the computer execution instructions, the game recommendation method is realized.
The readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, 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 disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A game recommendation method, the method comprising: extracting at least two keyword labels from text description information of a user input object;
searching the at least two keyword labels according to the pre-stored mapping relation of each keyword label to obtain a game screenshot set;
determining a candidate game set matched with game screenshots in the game screenshot set;
determining a degree of match between each candidate game in the set of candidate games and the textual description information;
and searching the candidate game set according to the matching degree to obtain a target game set to be recommended.
2. The method of claim 1, wherein extracting at least two keyword tags from the textual description of the user input object comprises: selecting a keyword tag representing a preferred game mechanism of the user input object and a keyword tag representing a preferred game background of the user input object from the text description information to obtain the at least two keyword tags.
3. The method according to claim 1, wherein said searching said at least two keyword tags according to a pre-stored mapping relationship of each keyword tag to obtain a game screenshot set comprises: sorting the pre-stored mapping relations of the keyword labels to obtain a first sorting result; determining a first search probability according to the first sequencing result; and searching the at least two keyword labels by adopting the first search probability to obtain a game screenshot set.
4. The method of claim 1, wherein the determining a degree of match between each candidate game in the set of candidate games and the textual description information comprises: determining keyword labels matched with the candidate games from the text description information; and determining the matching degree between the candidate game and the text description information based on the number of the matched keyword labels.
5. The method of claim 1, wherein the determining a degree of match between each candidate game in the set of candidate games and the textual description information comprises: determining a pre-stored mapping relation of the keyword labels matched with the candidate games in the text description information; and determining the matching degree between the candidate game and the text description information based on the pre-stored mapping relation of the matched keyword labels.
6. The method according to any one of claims 1 to 5, wherein the searching the candidate game set according to the matching degree to obtain a target game set to be recommended comprises: sorting the matching degree between the candidate game and the text description information to obtain a second sorting result; determining a second search probability according to the second sequencing result; and searching the candidate game set by adopting the second search probability to obtain the target game set to be recommended.
7. The method according to any one of claims 1 to 6, wherein after the obtaining of the set of target games to be recommended, the method further comprises: sequencing the target games in the target game set according to the matching degree between the target games and the text description information; screening the sorted target game set according to the contents of the sorted target games to obtain a screened target game set; and outputting the screened target game set.
8. A game recommendation device, the device comprising:
the first extraction module is used for extracting at least two keyword labels from the text description information of the user input object;
the first search module is used for searching the at least two keyword tags according to the prestored mapping relation of each keyword tag to obtain a game screenshot set;
the first matching module is used for determining a candidate game set matched with game screenshots in the game screenshot set;
a first search module, configured to determine a matching degree between each candidate game in the candidate game set and the text description information;
and the second searching module is used for searching the candidate game set according to the matching degree to obtain a target game set to be recommended.
9. A computer readable storage medium storing instructions/executable code which, when executed by a processor of an electronic device, causes the electronic device to implement the method of any one of claims 1-7.
10. A cloud server, characterized in that the cloud server comprises a processor, a machine-readable storage medium, and a network interface, the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is used for being connected with at least one game terminal in a communication manner, the machine-readable storage medium is used for storing programs, instructions, or codes, and the processor is used for executing the programs, instructions, or codes in the machine-readable storage medium to execute the game recommendation method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110600082.3A CN113282826A (en) | 2021-05-31 | 2021-05-31 | Game recommendation method and device and cloud server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110600082.3A CN113282826A (en) | 2021-05-31 | 2021-05-31 | Game recommendation method and device and cloud server |
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| Publication Number | Publication Date |
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| CN113282826A true CN113282826A (en) | 2021-08-20 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202110600082.3A Withdrawn CN113282826A (en) | 2021-05-31 | 2021-05-31 | Game recommendation method and device and cloud server |
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| CN (1) | CN113282826A (en) |
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- 2021-05-31 CN CN202110600082.3A patent/CN113282826A/en not_active Withdrawn
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