WO2021000826A1 - Procédé et appareil de recherche d'informations, terminal et support d'informations - Google Patents

Procédé et appareil de recherche d'informations, terminal et support d'informations Download PDF

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Publication number
WO2021000826A1
WO2021000826A1 PCT/CN2020/098785 CN2020098785W WO2021000826A1 WO 2021000826 A1 WO2021000826 A1 WO 2021000826A1 CN 2020098785 W CN2020098785 W CN 2020098785W WO 2021000826 A1 WO2021000826 A1 WO 2021000826A1
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interest
search
points
terminal
query
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PCT/CN2020/098785
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English (en)
Chinese (zh)
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李俊良
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Oppo广东移动通信有限公司
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Publication of WO2021000826A1 publication Critical patent/WO2021000826A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/901—Indexing; Data structures therefor; Storage structures
    • G06F16/9014—Indexing; Data structures therefor; Storage structures hash tables
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results

Definitions

  • This application belongs to the field of data processing technology, and in particular relates to an information search method, device, terminal and storage medium.
  • the search engine is used to provide search services and display search results related to the query keyword (Query) entered by the user to the user.
  • Query query keyword
  • a query keyword can reflect a variety of different search intents.
  • Existing comprehensive search engines cannot parse the user's real search intent well.
  • the search results returned by priority often fail to match the user's real search intent, resulting in Information search efficiency is low.
  • the embodiments of the present application provide an information search method, device, terminal and storage medium to at least solve the problem that search results preferentially returned by comprehensive search engines often fail to match the user’s real search intent, and the efficiency of information search is low. problem.
  • the embodiment of the present application provides an information search method, including:
  • the search results are output in sorted order.
  • the searching for points of interest in the geographic area where the terminal is located related to the query keyword includes:
  • the searching for points of interest in the geographic area where the terminal is located related to the query keyword includes:
  • LBS Location-Based Service
  • the input method is a word-by-word input
  • the search for points of interest in the geographic area where the terminal is located related to the query keyword in the LBS corpus database corresponding to the input method includes:
  • the LBS corpus database stored in a prefix tree manner, search for points of interest in the geographic area where the terminal is located and related to the query keyword.
  • the input mode is a one-time input
  • the search for the points of interest in the geographic area where the terminal is located related to the query keyword in the LBS corpus database corresponding to the input mode includes:
  • LBS corpus database stored in the form of a dictionary tree, search for points of interest in the geographic area where the terminal is located related to the query keyword.
  • the obtaining of query keywords includes:
  • the searching for points of interest in the geographic area where the terminal is located related to the query keyword includes:
  • the searching for the points of interest in the geofence where the terminal is located related to the query keyword includes:
  • the embodiment of the present application also provides an information search device, including:
  • the obtaining unit is configured to obtain query keywords
  • the searching unit is configured to search for points of interest in the geographic area where the terminal is located and related to the query keyword;
  • the adding unit is configured to determine that a point of interest is found, and to add a relevance score corresponding to the found point of interest, where the relevance score is used to characterize the correlation between the corresponding search result and the query keyword;
  • the sorting unit is configured to sort at least two search results according to the relevance score, the at least two search results including the found points of interest and the search keywords other than the found points of interest Matching information
  • the output unit is configured to output search results in a sorted order.
  • the embodiment of the present application also provides a terminal, including a processor and a memory configured to store a computer program that can run on the processor,
  • the processor is configured to execute the steps of any one of the foregoing information searching methods when running the computer program.
  • the embodiment of the present application also provides a storage medium, the storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any one of the foregoing information search methods are implemented.
  • the solution provided by the embodiments of this application considers the geographic location of the terminal when it initiates the search behavior, and searches for whether there are points of interest in the geographic area where the terminal is located related to the query keywords. If such points of interest exist, set The correlation between the interest point and the query keyword is increased, so that when the search result is output, the interest point is displayed to the user as the priority output search result, so that the priority output search result may match the user's real search intention Increased sexuality improves the efficiency of information search.
  • FIG. 1 is a schematic diagram of an implementation process of an information search method provided by an embodiment of the present application
  • FIG. 2 is a schematic diagram of the implementation flow of searching for points of interest in the information search method provided by an embodiment of the present application;
  • FIG. 3 is a schematic diagram of the implementation process of searching for points of interest in the information search method provided by another embodiment of the present application;
  • FIG. 4 is a schematic diagram of an implementation process of an information search method provided by another embodiment of the present application.
  • FIG. 5 is a schematic diagram of an implementation flow of an information search method provided by another embodiment of the present application.
  • Figure 6 is a schematic diagram of a data structure for storing LBS corpus provided by an embodiment of the present application.
  • FIG. 7 is a schematic diagram of an inverted index structure in related technologies
  • FIG. 8 is an example diagram of search result output provided by an application embodiment of this application.
  • FIG. 9 is an example diagram of search result output provided by another application embodiment.
  • FIG. 10 is a schematic diagram of the implementation principle of the information search method provided by the embodiment of the present application.
  • Figure 11 is a structural block diagram of an information search device provided by an embodiment of the present application.
  • FIG. 12 is a schematic diagram of the hardware structure of a terminal provided by an embodiment of the present application.
  • FIG. 1 shows the implementation process of the information search method provided by the embodiment of the present invention.
  • the execution subject of the information search method is mobile terminals such as smart phones, tablets, and notebooks.
  • the information search method provided by the embodiment of the present invention includes:
  • obtaining query keywords includes:
  • Format normalization is to remove data noise in keywords input to the terminal, so as to improve the efficiency of data processing in the search process.
  • the format normalization methods include but are not limited to: converting keywords from full-width to half-width, from traditional to simplified, and from uppercase to lowercase.
  • search engines will use specific computer programs to crawl information from the Internet according to certain strategies in advance, organize and process the crawled information, form a data structure that is easy to retrieve, and store it in the database.
  • the search engine After obtaining the query keywords, the search engine will search in the database based on the query keywords to obtain matching information of the query keywords, and each matching information corresponds to a search result of the query keywords.
  • S102 Search for points of interest that are related to the query keyword and located in the geographic area where the terminal is located.
  • Point of interest in English can be expressed as Point of Interest
  • Point of Interest usually refers to a certain landmark on the electronic map, which can be office buildings, communities, shops, bus stations, parks, stadiums, etc.
  • each point of interest can contain four aspects of information: name, category, coordinates and classification.
  • the point of interest is configured with geographic location information of the location of the point of interest.
  • geographic location information is usually marked with latitude and longitude.
  • searching for points of interest requires combining the geographic location of the point of interest with the geographic area where the terminal is located, where the geographic area where the terminal is located It can be a geographic area centered on the geographic location of the terminal, and a geographic area within a set radius.
  • the geographic location of the terminal can be obtained through the positioning function of the terminal.
  • the geographic area where the terminal is located can also be determined in combination with the LBS. Referring to Figure 2, searching for points of interest in the geographic area where the terminal is located related to the query keyword includes:
  • S201 Determine the geographic location of the terminal.
  • the geographic location of the terminal can be obtained through the positioning function of the terminal, and the available positioning technical means include but not limited to satellite positioning, base station positioning, Wi-Fi positioning, and the like.
  • S202 Determine the geofence where the geographic location is located.
  • LBS is a way to obtain the location information of the terminal through the radio communication network of the telecommunications mobile operator, or an external positioning method, and with the support of the Geographic Information System (GIS, Geographic Information System) platform, to provide users with corresponding services. Value-added services.
  • GIS Geographic Information System
  • a virtual fence is used to enclose a virtual geographic boundary in the GIS platform, and the geographic area surrounded by the geographic boundary is called a geographic fence.
  • the geographic area has actually been gridded at the virtual level, and it can be considered that the geographic area is spliced by the multiple geo-fences.
  • the geographic fence delineating the geographic location can be regarded as the geographic area where the terminal is located.
  • the geographic area where the terminal is located can be determined more efficiently, and the other
  • it can also provide more information services based on geofencing and user search requirements.
  • S203 Search for points of interest located in the geofence that are related to the query keyword.
  • the geographic fence corresponding to the geographic location of the terminal After the geographic fence corresponding to the geographic location of the terminal is determined, it is equivalent to determining the geographic area where the terminal is located, and it is possible to find out whether there is a point of interest related to the query keyword whose geographic location is located in the geographic fence.
  • based on the searched matching information of the query keywords it is possible to find whether there is a point of interest in the geographic area where the terminal is located in the searched matching information. After searching the matching information of the keywords.
  • the thread for finding points of interest can also be started specifically, that is, the search process of the points of interest and the search process of matching information of the query keywords can be executed in parallel.
  • searching for points of interest in the geofence related to the query keyword includes:
  • S2031 Access a setting database corresponding to the geofence, and all points of interest in the geofence are stored in the setting database.
  • the points of interest in the electronic map can be sorted out first, using geofences as a unit to create an index for all points of interest in each geofence and store them in the database, and each geofence
  • Each fence can correspond to a set database.
  • the points of interest in the geofence are stored in the data table of the database in a certain data structure. According to the update frequency of the points of interest, the set database is regularly updated and maintained. .
  • S2032 Search for points of interest related to the query keyword in the set database.
  • the search for points of interest is completed by setting the database.
  • the setting database is set in relation to the geofence, and the corresponding setting database can be quickly located through the geofence where the terminal is located, reducing the points of interest
  • searching in the information that only has the points of interest instead of searching in all the matching information of the query keywords, greatly improves the search efficiency of the points of interest.
  • the setting database can be regularly synchronized with the geographic information system, which can well realize the regular update and maintenance of the points of interest to ensure the accuracy of the search for the points of interest.
  • searching for points of interest in the geographic area where the terminal is located related to the query keyword is intended to be based on the query keyword and the geographic location of the terminal on the basis of the conventional search process.
  • the search request recognizes the query intention to determine whether the search request is related to the geographic location of the terminal.
  • S1021 According to the context of this search, determine the probability that the search target type is a point of interest.
  • the context can be understood as the environment of this search, including search scenarios, historical search records, etc.
  • the probability that the search target type of this search is a point of interest can be roughly determined. For example, in a period of time before this search occurs, a search related to a point of interest is performed, or a search result related to a point of interest is clicked in the given search results, then the search target type is a point of interest The probability is set to a larger value.
  • S1022 When it is determined that the probability is greater than the set probability value, search for points of interest that are related to the query keyword and located in the geographic area where the terminal is located.
  • the conventional search process can also be performed directly without triggering the operation of finding the point of interest in the geographic area where the terminal is located related to the query keyword, thereby It can avoid unnecessary point-of-interest searching operations, which effectively improves search efficiency.
  • searching for points of interest in the geofence related to the query keyword includes:
  • S501 Determine the input mode of the query keyword.
  • verbatim input refers to the input method of inputting the characters of the query keyword one by one according to the position order of the characters in the query keyword. For example, for the query keyword "Kapok”, input “wood”, “cotton”, The three characters “ ⁇ ”, or input "Kapok” and “ ⁇ ” one by one, these two input methods can be regarded as input word by word.
  • One-time input refers to the input method of inputting all the characters of the query keyword at one time, for example, inputting "Kapok” at one time through the phrase input method or the input method of copy and paste.
  • S502 In the LBS corpus database corresponding to the input mode, search for points of interest that are related to the query keyword and located in the geographic area where the terminal is located.
  • the LBS corpus is stored in three different LBS corpus databases through three different data structures in advance, as shown in FIG. 6, the three data structures are DAT (Double Array Trie) trees. , Prefix tree and hash map.
  • DAT Double Array Trie
  • the DAT tree that is, the double-array Tire tree
  • the dictionary tree is a tree structure often used for word retrieval.
  • the DAT tree uses the common prefix of words to save space.
  • the search efficiency has nothing to do with the number of words in the LBS corpus database, only the longest word length and query keywords in the LBS corpus database The length of is related, so you can take into account query efficiency and space storage. Since in the DAT tree, the search result can be obtained only when the query keyword is completely hit.
  • the LBS corpus stored in the DAT tree method In the database, search for points of interest that are located in the geographic area where the terminal is located and are related to the query keywords, so as to improve the search efficiency of points of interest through the characteristics of the DAT tree.
  • the prefix tree namely the marisa tree
  • the point of interest is searched in combination with the edit distance method.
  • the edit distance is also called Levenshtein distance, which refers to the minimum number of editing operations required to convert two strings from one to the other.
  • the permitted editing operations include replacing one character with another character and inserting a character , Delete a character, etc.
  • to convert from "Kapok” to "Kapok Hotel” only two characters need to be inserted, that is, the editing distance is only 2.
  • Hash Map is an implementation of a mapping interface based on a hash table. This implementation provides all optional mapping operations.
  • a fixed hash table (Hash Table) can also be used to establish a compact
  • the linked list can mount the quality scores, categories, etc. of documents, and filter by category when searching, and the search results can be sorted according to the quality scores of the documents.
  • Figure 7 shows a schematic diagram of the inverted index structure in the related technology.
  • a spatial index can be constructed by longitude, latitude, and city name, and the construction method of Geohash or HibertID can be used.
  • an inverted index can also be used to store the data structure in a hash map.
  • S103 Determine that the point of interest is found, and increase the relevance score corresponding to the found point of interest.
  • the relevance score is used to characterize the relevance between the corresponding search result and the query keyword.
  • the query intent corresponding to the query keyword is associated with the point of interest.
  • the points of interest gained increase the corresponding relevance score.
  • a relevance score will be calculated for characterization The relevance between the search result and the query keyword, the higher the relevance score, the more the search result matches the user's real query intention, the more likely the search result will be output first.
  • S104 Sort at least two search results according to the relevance score.
  • the at least two search results include the found points of interest and matching information of query keywords other than the found points of interest.
  • the search results are sorted, and the search results include the found points of interest and also include matching information for query keywords in addition to the found points of interest.
  • the distance between the point of interest and the geographic location where the terminal is located, and the historical search popularity of the point of interest can be considered to determine the sort order among these points of interest.
  • S105 Output the search results according to the sort order.
  • the search results may have the following two changes compared to the increase in relevance score:
  • Example 1 For the query keyword "Kapok”, before the relevance score is increased, "Kapok” as a plant variety has a strong search intention, and a hotel name has a weak search intention, but it is combined with the terminal where the search is performed The location is very close to the "Kapok Hotel", which increases the relevance score of the search results for the point of interest "Kapok Hotel”, and the location distance between the integrated terminal and the "Kapok Hotel", the context of the search, and the "Kapok Hotel” The historical search interest of "Cotton Hotel” and many other factors have transformed the search intention of "Kapok” as a hotel name into a strong intent. As shown in Figure 8, the search results show the interest in "Kapok Hotel” first. Click the search result, and then display other matching information about "Kapok”.
  • Example 2 For the query keyword "Xiao Shi”, before the relevance score increases, "Xiao Shi” has a strong search intention as a movie name, and a weak search intention as a hotel apartment name, but it is combined with the terminal when searching The location of the location is very close to "Xiaoshidai", which will increase the relevance score of the search results for the point of interest "Xiaoshidai Short-term Rental Apartment", and the distance between the integrated terminal and Context and historical search popularity of "Xiao Shidai Short-term Rental Apartments" and other factors have strengthened the search intention of using "Xiao Shidai” as the name of hotel apartments.
  • Figure 10 shows a schematic diagram of the implementation principle of the information search provided by the embodiments of the present application.
  • the query keywords are input into the scheduler.
  • the scheduler inputs the query keywords in combination with context and other information
  • the intent recognizer is based on the LBS corpus database to find whether there are points of interest mentioned in this scheme.
  • the searcher obtains the search for the query keywords based on the query keywords and context information result.
  • the data in the LBS corpus database is stored in a spatial index
  • other corpora is stored in an inverted index.
  • the embodiment of the application considers the geographic location of the terminal when it initiates the search behavior, and searches for whether there is a point of interest in the geographic area where the terminal is located related to the query keyword. If such a point of interest exists, set the point of interest and The correlation between the query keywords increases, so that when outputting search results, the interest point is displayed to the user as the priority output search result, so that the priority output search result is more likely to match the user’s real search intention. Improve the efficiency of information search.
  • the embodiment of the present application also provides an information search device, which is set on a terminal such as a smart phone, a tablet, a notebook, etc., referring to FIG. 11, the information search device includes:
  • the obtaining unit 1101 is configured to obtain query keywords
  • the searching unit 1102 is configured to search for points of interest located in the geographic area where the terminal is located and related to the query keywords;
  • the adding unit 1103 is configured to determine that a point of interest is found, and increase the relevance score corresponding to the found point of interest, and the relevance score is used to represent the correlation between the corresponding search result and the query keyword;
  • the sorting unit 1104 is configured to sort at least two search results according to the relevance scores, the at least two search results including the found points of interest and matching information of query keywords other than the found points of interest;
  • the output unit 1105 is configured to output search results in a sorted order.
  • the searching unit 1102 is configured to:
  • search for points of interest in the geographic area where the terminal is located related to the query keyword When the determined probability is greater than the set probability value, search for points of interest in the geographic area where the terminal is located related to the query keyword.
  • the searching unit 1102 is configured to:
  • the input method is word-by-word input
  • the search for points of interest in the geographic area where the terminal is located related to the query keyword in the LBS corpus database corresponding to the input method includes:
  • the input mode is a one-time input
  • the search for the points of interest in the geographic area where the terminal is located related to the query keyword in the LBS corpus database corresponding to the input mode includes:
  • the acquiring unit 1101 is configured to:
  • the searching unit 1102 is configured to:
  • the searching for points of interest located in the geofence related to the query keyword includes:
  • the acquiring unit 1101, searching unit 1102, adding unit 1103, sorting unit 1104, and output unit 1105 can be implemented by a processor in an information search device.
  • the processor needs to run the programs stored in the memory to realize the functions of the above-mentioned program modules.
  • the information search device provided in the above embodiment performs information search
  • only the division of the above-mentioned program modules is used as an example for illustration.
  • the above-mentioned processing can be allocated to different program modules as needed. That is, the internal structure of the device is divided into different program modules to complete all or part of the processing described above.
  • the information search device and the information search method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be repeated here.
  • FIG. 12 is a schematic diagram of the hardware composition structure of a terminal according to an embodiment of the application. As shown in FIG. 12, the terminal includes:
  • Communication interface 1 which can exchange information with other devices such as network equipment;
  • the processor 2 is connected to the communication interface 1 to realize information interaction with other devices, and when configured to run a computer program, it executes the information search method provided by one or more technical solutions on the terminal side.
  • the computer program is stored in the memory 3.
  • bus system is configured to implement connection and communication between these components.
  • bus system also includes a power bus, a control bus, and a status signal bus.
  • various buses are marked as bus systems in FIG. 12.
  • the memory 3 in the embodiment of the present application is configured to store various types of data to support the operation of the terminal. Examples of such data include: any computer program used to operate on the terminal.
  • the memory 3 may be a volatile memory or a non-volatile memory, and may also include both volatile and non-volatile memory.
  • the non-volatile memory can be read only memory (ROM, Read Only Memory), programmable read only memory (PROM, Programmable Read-Only Memory), erasable programmable read only memory (EPROM, Erasable Programmable Read- Only Memory, Electrically Erasable Programmable Read-Only Memory (EEPROM, Electrically Erasable Programmable Read-Only Memory), magnetic random access memory (FRAM, ferromagnetic random access memory), flash memory (Flash Memory), magnetic surface memory , CD-ROM, or CD-ROM (Compact Disc Read-Only Memory); magnetic surface memory can be magnetic disk storage or tape storage.
  • the volatile memory may be random access memory (RAM, Random Access Memory), which is used as an external cache.
  • RAM random access memory
  • SRAM static random access memory
  • SSRAM synchronous static random access memory
  • DRAM dynamic random access Memory
  • SDRAM Synchronous Dynamic Random Access Memory
  • DDRSDRAM Double Data Rate Synchronous Dynamic Random Access Memory
  • ESDRAM enhanced -Type synchronous dynamic random access memory
  • SLDRAM SyncLink Dynamic Random Access Memory
  • direct memory bus random access memory DRRAM, Direct Rambus Random Access Memory
  • DRRAM Direct Rambus Random Access Memory
  • the memory 2 described in the embodiment of the present application is intended to include, but is not limited to, these and any other suitable types of memory.
  • the method disclosed in the foregoing embodiment of the present application may be applied to the processor 2 or implemented by the processor 2.
  • the processor 2 may be an integrated circuit chip with signal processing capability. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 2 or instructions in the form of software.
  • the aforementioned processor 2 may be a general-purpose processor, a DSP, or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, and the like.
  • the processor 2 may implement or execute the methods, steps, and logical block diagrams disclosed in the embodiments of the present application.
  • the general-purpose processor may be a microprocessor or any conventional processor.
  • the steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed and completed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a storage medium, and the storage medium is located in the memory 3, and the processor 2 reads the program in the memory 3, and completes the steps of the foregoing method in combination with its hardware.
  • the embodiment of the present application also provides a storage medium, that is, a computer storage medium, specifically a computer-readable storage medium, such as a memory 3 storing a computer program, which can be used by the processor 2 of the terminal. Execute to complete the steps described in the foregoing method.
  • the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disc, or CD-ROM.
  • the disclosed device, terminal, and method may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the units is only a logical function division, and there may be other divisions in actual implementation, such as: multiple units or components can be combined, or It can be integrated into another system, or some features can be ignored or not implemented.
  • the coupling, or direct coupling, or communication connection between the components shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may be electrical, mechanical or other forms of.
  • the units described above as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units; Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • the functional units in the embodiments of the present application can all be integrated into one processing unit, or each unit can be individually used as a unit, or two or more units can be integrated into one unit;
  • the unit can be implemented in the form of hardware, or in the form of hardware plus software functional units.
  • the foregoing program can be stored in a computer readable storage medium. When the program is executed, it is executed. Including the steps of the foregoing method embodiment; and the foregoing storage medium includes: various media that can store program codes, such as a mobile storage device, ROM, RAM, magnetic disk, or optical disk.
  • the above-mentioned integrated unit of this application is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium.
  • the computer software product is stored in a storage medium and includes several instructions for A computer device (which may be a personal computer, a server, or a network device, etc.) executes all or part of the methods described in the various embodiments of the present application.
  • the aforementioned storage media include: removable storage devices, ROM, RAM, magnetic disks, or optical disks and other media that can store program codes.

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Abstract

La présente invention concerne un procédé et un appareil de recherche d'informations, un terminal et un support d'informations. Le procédé de recherche d'informations comprend : l'acquisition d'un mot-clé d'interrogation (S101) ; la recherche d'un point d'intérêt se rapportant au mot-clé d'interrogation et situé dans la zone géographique où un terminal est situé (S102) ; la détermination du point d'intérêt trouvé et l'augmentation d'une note de pertinence correspondant au point d'intérêt trouvé, la note de pertinence étant utilisée pour caractériser la corrélation entre un résultat de recherche correspondant et le mot-clé d'interrogation (S103) ; selon la note de pertinence, le tri d'au moins deux résultats de recherche, les au moins deux résultats de recherche comprenant le point d'intérêt trouvé et des informations de mise en correspondance du mot-clé d'interrogation en plus du point d'intérêt trouvé (S104) ; et la sortie des résultats de recherche selon l'ordre de tri (S105).
PCT/CN2020/098785 2019-07-04 2020-06-29 Procédé et appareil de recherche d'informations, terminal et support d'informations WO2021000826A1 (fr)

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