WO2016176099A1 - Procédé et appareil de navigation de recherche d'informations - Google Patents

Procédé et appareil de navigation de recherche d'informations Download PDF

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Publication number
WO2016176099A1
WO2016176099A1 PCT/US2016/028544 US2016028544W WO2016176099A1 WO 2016176099 A1 WO2016176099 A1 WO 2016176099A1 US 2016028544 W US2016028544 W US 2016028544W WO 2016176099 A1 WO2016176099 A1 WO 2016176099A1
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WO
WIPO (PCT)
Prior art keywords
result page
search result
user
information
search
Prior art date
Application number
PCT/US2016/028544
Other languages
English (en)
Inventor
Yangyang KANG
Changlong SUN
Jun LANG
Original Assignee
Alibaba Group Holding Limited
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from CN201510206720.8A external-priority patent/CN106156244B/zh
Application filed by Alibaba Group Holding Limited filed Critical Alibaba Group Holding Limited
Priority to JP2017549018A priority Critical patent/JP2018518726A/ja
Priority to RU2017134978A priority patent/RU2017134978A/ru
Priority to KR1020177030835A priority patent/KR20170140226A/ko
Priority to SG11201708392TA priority patent/SG11201708392TA/en
Priority to BR112017022563A priority patent/BR112017022563A2/pt
Publication of WO2016176099A1 publication Critical patent/WO2016176099A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0623—Item investigation
    • 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
    • G06F16/951—Indexing; Web crawling techniques

Definitions

  • the present disclosure relates to the field of computer technology, and more particularly to an information search navigation method and apparatus.
  • index tags are usually generated based on types of information for a massive amount of information stored on the website, from which the user can quickly find the desired information during a retrieval operation.
  • index tag mode only when the user has a certain understanding of the target information to be found can they more accurately retrieve results offered based on the index tags provided by the website. If the user is not familiar with the target information (e.g., has no knowledge of the performance, range of application and applicability of the product to be found), only the same type of information can be retrieved with the retrieval tag provided by the website. In this case, the user can only browse the information displayed in the retrieval result one by one in order to identify the desired target information. Obviously, the efficiency of this retrieval process is clearly very low.
  • the embodiments of the present disclosure provide an information search navigation method and apparatus for solving the problem of low-efficiency network information retrieval and query.
  • An embodiment of the present disclosure provides an information search navigation method, which comprises:
  • the guide information carries a plurality of keyword tags
  • An embodiment of the present disclosure further provides an information search navigation device, which comprises:
  • a monitoring module for monitoring a user operation on the search result page
  • a search words determination module for determining search words corresponding to the search result page when the operation satisfies the preset condition
  • a guide information module for acquiring and displaying the pre-generated guide information corresponding to the search words, wherein the guide information carries a plurality of keyword tags; and a display module for displaying the search result page corresponding to the keyword tags operated by the user.
  • the embodiments of the present disclosure provide an information search navigation method and apparatus.
  • a corresponding server will determine and display the guide information corresponding to the search words based on such search words entered by the user, so that the user can have some understanding of the desired target information based on the guide information in order to facilitate the subsequent search.
  • the user can further operate based on the keyword tags carried in this guide information; and then the server will provide the user with a more accurate search result page that corresponds to the keyword tags, thus improving the efficiency of target information lookup.
  • the target information retrieval efficiency can still be effectively improved with the aid of such a search mode.
  • FIG. 1 illustrates the information search navigation process according to some embodiments of the present disclosure
  • FIG 2 illustrates a search result page in according to a non-limiting example in accordance with some embodiments of the present disclosure
  • FIGs 3a-3c illustrate a process in which the server provides the user with information search navigation according to some embodiments of the present disclosure.
  • FIG. 4 illustrates a structure of an information search navigation device according to some embodiments of the present disclosure.
  • terms, such as “a,” “an,” or “the,” again, may be understood to convey a singular usage or to convey a plural usage, depending at least in part upon context.
  • the term “based on” may be understood as not necessarily intended to convey an exclusive set of factors and may, instead, allow for existence of additional factors not necessarily expressly described, again, depending at least in part on context.
  • FIG. 1 illustrates an information search navigation process provided in accordance with some of the embodiments of the present disclosure, which comprises the following steps:
  • a user can browse a corresponding search result page after retrieving it with relevant search words on a website (e.g. a shopping website, a movies & TV website and a news website) or an application ("APP" or "App") via different terminal equipment (e.g. smart phones, tablet computers and/or computer terminals).
  • a website e.g. a shopping website, a movies & TV website and a news website
  • an application e.g. smart phones, tablet computers and/or computer terminals
  • the search result page is obtained by searching in the server database of the corresponding website or App based on the search words entered by the user, and the retrieved results are pushed in the form of pages to the user's terminal device in the form of a search results page.
  • the contents presented on the search result page include, but are not limited to, product information, file information and other types of various network resource information; and the operation includes, but is not limited to, a browse operation and click operation, and the like.
  • S I 02 determining search words corresponding to the search result page when the operation satisfies a preset condition.
  • the contents displayed on the search result page contain the desire target information or the information related to the target information
  • a user often clicks on the relevant content to browse more detailed information.
  • the scope of search words entered by the user is usually too broad; therefore, the contents displayed on the search result page may contain irrelevant information.
  • the user needs to browse more on the search result page to find out the desired target information.
  • the contents on the search result page browsed by the user exceed a preset number and the user does not browse through the search result page in more detail, it is considered that the user is not finding the target information on the current search result page.
  • the server needs to navigate the information retrieved by the user. Firstly, the server will determine the search words corresponding to the search result page, so as to help the user with information search navigation later.
  • the preset condition mentioned in step S I 02 is specifically as follows: the contents that the user browses on the search result page exceed a certain amount and the user does not click on the information shown on the retrieval page for browsing.
  • the navigation initiation button can also be arranged on the search result page of the website or APP in practical use.
  • the user can directly operate on the navigation initiation button on the search result page in order to request the server for retrieval result navigation. Therefore, compared with the above-mentioned preset condition, in another non-limiting embodiment, the user can send a navigation request on the corresponding search result page.
  • S I 03 acquiring and displaying the pre-generated guide information corresponding to the search words, wherein the guide information carries a plurality of keyword tags.
  • the server can then obtain the pre-generated guide information corresponding to the search words and present this guide information to the user.
  • the server can display this guide information in many ways; for example, displaying on the search result page that the user is currently viewing. Another example is that the server can push the new display page to the user terminal so as to display this guide information.
  • the ways to display the guide information do not impose any limitation on the present disclosure.
  • the server pre-generates various kinds of information stored therein as guide information.
  • the guide information comprises suggestion tips comprising various information, such as, but not limited to, performance, applicability and range of application.
  • the guide information of a product can contain a detailed description of the product, the applicability of different models of the product and different application scenarios.
  • the user can obtain the information related to the entered search words with this guide information, by which the user can gain some knowledge of the target information to be found so as to make it easy for the user to find the target information.
  • the guide information comprises a plurality of keyword tags in the embodiments of the present disclosure.
  • the keyword tags as mentioned in the embodiments of the present disclosure are not the retrieval tags provided by the traditional search result page, but rather are the navigation tags generated that correspond to the contents in the guide information. As compared to the traditional retrieval tags, the keyword tags provide a more accurate retrieval range.
  • the guide information of a product comprises the scope of different models of the product; then the navigation tags generated corresponding to the guide information can be the scope information for this product's different models.
  • SI 04 displaying the search result page corresponding to the keyword tags operated by the user.
  • the keyword tags carried in the guide information can be treated as more detailed retrieval criteria; therefore, when the user clicks on the keyword tags in the guide information, the server will provide the search result page corresponding to the keyword tags and display such information to the user.
  • the corresponding server when the user's operation on the search result page satisfies a preset condition, the corresponding server will determine and display the guide information corresponding to the search words based on such search words entered by the user; the user can then have some understanding of the desired target information based on the guide information to facilitate his subsequent search.
  • the user can select the keyword tags carried in the guide information, and the server will display a more accurate search result page that corresponds to the keyword tags to the user, thus improving the efficiency of target information lookup. Furthermore, even if the user is not familiar with the target information, the target information retrieval efficiency can still be effectively improved with the aid of such a search mode.
  • the search result page comprises product information
  • the guide information comprises suggestion tips for the product information. It should be understood that such scenarios are non-limiting in that the disclosed method and apparatus should not be construed to be limited to such embodiment as one of skill in the art would understand that like embodiments, as discussed herein, are applicable to the present disclosure.
  • the server When a user applies product information as search words for retrieval of a search result page at a corresponding product website, the server will retrieve all product information stored in the database of this product website based on the search words entered by the user, and display the product information corresponding to the search words on the search result page, so that the user can operate on this search result page.
  • the user may retrieve any product information that is available in practical use.
  • the server will pre-generate guide information for all the stored product information.
  • the pre-generation of guide information in step S I 03 is specifically as follows: obtaining the suggestion tips corresponding to the product information in advance; determining the keyword tags based on the suggestion tips; and taking the suggestion tips and the determined keyword tags as the guide information that corresponds to the product information.
  • the suggestion tips usually include any related product information such as the range of application, applicability and other related descriptive information (e.g. a user guide and/or operating instructions of a product) of the product information.
  • the suggestion tips are not limited to text information in the embodiments of the present disclosure.
  • the suggestion tips can also be picture information, video information, audio information and other information in multimedia forms.
  • the server can use the product information as a search entry in the specified database or on the internet. If any of the relevant text, image, video, audio and other multimedia information is retrieved, such multimedia information will be used as the suggestion tips of the product information.
  • the server can generate corresponding keyword tags according to the suggestion tips that correspond to different product information, and the user can search for the keyword tags directly, thus effectively narrowing the search scope.
  • the server determines whether the suggestion tips comprise the characteristic information (e.g. featured words that reflect the product types, status and service conditions) associated with different product information; then the server generates the keyword tags of this suggestion tips based on such product information and the associated characteristic information.
  • the characteristic information e.g. featured words that reflect the product types, status and service conditions
  • the step of determining the keyword tags based on the suggestion tips is as follows: conducting text segmentation for the suggestion tips; carrying out dependency analysis for the contents of each paragraph obtained after text segmentation to determine the product information included in each paragraph and the characteristic information corresponding to the product information, and determining the different combinations of the characteristic information and product information as keyword tags of different paragraphs.
  • the suggestion tips are text information
  • the suggestion tips may contain descriptions with respect to different aspects of the product information.
  • the server will segment the suggestion tips, to divide the descriptions, with regard to different aspects of the product information, into different paragraphs.
  • Each different paragraph obtained after segmentation has different corresponding characteristic information making it possible to determine the product information included in a paragraph and the characteristic information corresponding to this product information.
  • a dependency analysis algorithm is applied to determine the product information included in each paragraph, and the characteristic information having dependency relation with this product information.
  • the product information determined from the suggestion tips is "wind coat”
  • the characteristic information determined based on a dependency analysis is "slim fit” and "X-style, warm and windproof '.
  • the server can combine the product information and characteristic information determined from the paragraph and take the combined product information and characteristic information as the keyword tags for different paragraphs.
  • the server can combine the determined two characteristic information "slim fit” and "X-style, warm and windproof ' as well as the product information "wind coat” in the above example; thus obtaining “slim fit wind coat” and "X-style, warm and windproof wind coat”. Obviously, these two combinations correspond to different types of coats, and the server will use such two combinations as the keyword tags in this paragraph.
  • a plurality of characteristic information may be determined from one paragraph in practical use, i.e., obtaining the combination of a plurality of characteristic information and product information. Some combinations may correspond only too few retrieval results, and others are even invalid search criteria. If such a combination is applied as keyword tags, the user's search navigation will be affected. Therefore, as a preferred mode in the embodiments of the present disclosure, the server screens the generated combinations after combining the product information and characteristic information.
  • the screening mode can be specifically as follows: a server sets appropriate thresholds according to the previously obtained hits, number of visits and other statistical information of different commodities at the website; and it excludes the combinations with hits or number of visits not exceeding the thresholds, but only keeps the combinations with hits or number of visits exceeding the thresholds. This screening process can effectively exclude the combinations that provide ineffective search results; and this does not impose any limitation on the present disclosure.
  • the server usually is set up with a corresponding fault-tolerant mechanism (e.g. which performs approximate string matching); therefore, the search words entered by the user may still be used for retrieval and the corresponding retrieval results will be generated.
  • the search words entered by the user are "3 ⁇ 4TL3 ⁇ 4 ⁇ 3 ⁇ 4i3 ⁇ 4 (mechanical health board)", in which the character “fit (key)” is mistyped as “ ⁇ 3 ⁇ 4 (health)”
  • the server will retrieve based on the correct words "3 ⁇ 4TL3 ⁇ 4 Si3 ⁇ 4 (mechanical keyboard)”.
  • the pre-generated guide information corresponding to the search words is displayed on the search result page in the embodiments of the present disclosure, which is specifically as follows: determining the search words on the search result page and the product information corresponding to such search words; taking the guide information corresponding to the product information as guide information of the search words, and displaying this guide information.
  • the server based on the built-in fault-tolerant mechanism, can determine the product information corresponding to the incorrect search words entered by the user, and take the pre-generated guide information for the product information as the search words. In this way, in spite of the incorrect search words, the user can still browse through corresponding guide information on the search result page.
  • the search result page corresponding to the keyword tags operated by the user is displayed with detailed steps as follows: determining the keyword tags operated by the user; taking the combinations of characteristic information and product information in the keyword tags as search words for retrieval; and displaying the retrieved search result page as the search result page corresponding to the keyword tags.
  • the combinations of product information and characteristic information included in keyword tags may be taken as relatively accurate search criteria.
  • the server will start to search with the combinations of the product information and characteristic information included in the keyword tags as search criteria, and obtain a corresponding search result page. Later, the server will display this search result page to the user to realize the search navigation process of product information.
  • the keyword tags comprise the Uniform Resource Locator (URL) for the search result page, which is obtained after searching with the combinations of the product information and characteristic information as search criteria.
  • URL Uniform Resource Locator
  • the user searches on the e-commerce website by entering search words "mechanical keyboard”, and browses on the corresponding search result page. Assuming that the user has already viewed part of the content on the search result page as shown in FIG. 2, and the user does not find the ideal mechanical keyboard for the reason that only the mechanical keyboard of different brands ("XX”, “YY”, “ZZ” and "AA” in FIG. 2 represent the brands) are displayed on the search result page as illustrated in FIG 2.
  • the server detects that the user has viewed part of the contents on the search result page without clicking on any of the retrieval result; then, it can be assumed that the user does not find the desired product on the current search result page. For this reason, the server will provide a navigation operation/function for the user on the search result page, and generate a corresponding navigation button as shown in FIG. 3a.
  • a navigation button is displayed on the current search result page in the form of an icon (i.e., the icon "Shopping Guide for Mechanical Keyboard" in FIG. 3a).
  • the form of the navigation button in this example is not limited to icons.
  • a navigation button can be displayed at the sidebar of the page or in the form of a floating window, which does not impose any limitation on the present disclosure.
  • the server When the user clicks on this icon, the server will, based on the search words "mechanical keyboard” entered by the user, push the pre-generated guide information corresponding to the search words "mechanical keyboard” onto the current search result page as shown in FIG. 3b.
  • the guide information of the search words "mechanical keyboard” is displayed on the current search result page via a floating window, wherein the guide information includes the suggestion tips in the form of words and the pre-generated keyword tags based on the suggestion tips. Assuming that one of the paragraphs (obtained after the server conducts text segmentation in advance) in the suggestion tips indicates the type of mechanical keyboards with lower noise on key-press.
  • the server will conduct a dependency analysis on this paragraph in advance, and determine the product information in this paragraph as “mechanical keyboard”, wherein the featured words include “lower noise on key-press”, “red mechanical axis” and “soft mechanical axis”.
  • the server will generate the combinations of product information and different featured words and screen these combinations to finally determine the keyword tags corresponding to this paragraph, i. e., "mechanical keyboard with a red axis” (or a mechanical red axis) and “mechanical keyboard with a soft axis”, as shown in FIG. 3b.
  • the server will start a new search with the new search criteria "mechanical keyboard with a red axis" according to the keyword tag clicked by the user, and display the new search result page to the user, as illustrated in FIG. 3 c.
  • the user can obtain some knowledge of the retrieved mechanical keyboards based on the suggestion tips, and conduct a search navigation according to keyword tags.
  • the search results will then match the desired mechanical keyboard type in a more accurate way.
  • the embodiments of the present disclosure further provide an information search navigation device as shown in FIG 4.
  • the information search navigation device comprises: a monitoring module 401 , a search words determination module 402, a guide information module 403 and a display module 404, wherein,
  • the monitoring module 401 is for monitoring a user operation on the search result page;
  • the search words determination module 402 is for determining the search words corresponding to the search result page when the operation satisfies the preset condition;
  • the guide information module 403 is for acquiring and displaying the pre-generated guide information corresponding to the search words, wherein the guide information carries a plurality of keyword tags;
  • the display module 404 is for displaying the search result page corresponding to the keyword tags operated by the user.
  • the guide information module 403 is specifically used for pre-acquiring the suggestion tips that correspond to the product information; determining the suggestion tips based on the keyword tags; and taking the suggestion tips and the determined keyword tags as guide information corresponding to the product information.
  • the guide information module 403 is used for conducting text segmentation for the suggestion tips; carrying out dependency analyses for the contents of each paragraph obtained after text segmentation, to determine the product information included in each paragraph and the characteristic information corresponding to the product information; and determining the different combinations of the characteristic information and product information as keyword tags of different paragraphs.
  • the display module 404 is specifically used for determining the search words on the search result page; determining the product information corresponding to the search words; acquiring the guide information corresponding to the product information as the guide information of the search words; and displaying this guide information.
  • the display module 404 is used for determining the keyword tags operated by the user; taking the combination of characteristic information and product information in the keyword tags as search words for retrieval; and displaying the search result page obtained after retrieval as the search result page corresponding to the keyword tags.
  • a computing device comprises one or more CPUs, I/O interface, network interface and memory.
  • the memory may comprise volatile memory, random access memory (RAM) and/or NVRAM and other forms (such as read-only memory (ROM) or flash RAM) with regard to computer readable media.
  • RAM random access memory
  • NVRAM non-volatile memory
  • ROM read-only memory
  • flash RAM flash random access memory
  • the computer readable media include volatile, non-volatile, movable and non-movable media, which can realize information storage by any method or technology.
  • the information could be a computer readable instruction, a data structure, a program module or other data.
  • the examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disc (DVD) or other optical memories, cassette magnetic tapes, tapes, disk memory or other magnetic memory devices or any other non-transmission media as well as information stored and accessible by the computing device.
  • the computer readable medium excludes transitory media, such as modulated data signals and carrier waves.
  • a module is a software, hardware, or firmware (or combinations thereof) system, process or functionality, or component thereof, that performs or facilitates the processes, features, and/or functions described herein (with or without human interaction or augmentation).
  • a module can include sub-modules.
  • Software components of a module may be stored on a computer readable medium for execution by a processor. Modules may be integral to one or more servers, or be loaded and executed by one or more servers. One or more modules may be grouped into an engine or an application.
  • a person skilled in the art shall understand that the embodiments of the present disclosure provide a method, system or computer program product. Accordingly, the present disclosure can be applied with the form of an entire hardware embodiment, an entire software embodiment or a combination of software and hardware embodiments. In addition, the present disclosure can employ the form of a computer program product that can be implemented on one or more available computer storage media (including but not limited to disk storage devices, CD-ROMs and optical memory) comprising available computer program codes.

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Abstract

La présente invention concerne un procédé et un appareil de navigation de recherche d'informations. La présente invention concerne des procédés et des appareils qui fonctionnent à l'aide d'un procédé qui consiste : à surveiller une exploitation d'utilisateur sur une page de résultats de recherche; à déterminer des mots de recherche correspondants à la page de résultats de recherche lorsque l'opération satisfait la condition prédéfinie; à acquérir et à afficher les informations guides prégénérées correspondantes aux mots de recherche, les informations guides transportant une pluralité d'étiquettes de mots-clés; et à afficher la page de résultats de recherche correspondants aux étiquettes de mot-clé mises en œuvre par l'utilisateur. Le serveur peut afficher les informations guides correspondantes à la recherche des mots sur la page de résultats de recherche et également présenter une page de résultats de recherche plus précise à l'utilisateur en fonction de la mise en œuvre des étiquettes de mot-clé de l'utilisateur. Ceci permet d'améliorer l'efficacité de consultation des informations de cible.
PCT/US2016/028544 2015-04-28 2016-04-21 Procédé et appareil de navigation de recherche d'informations WO2016176099A1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
JP2017549018A JP2018518726A (ja) 2015-04-28 2016-04-21 情報検索ナビゲーション方法及び装置
RU2017134978A RU2017134978A (ru) 2015-04-28 2016-04-21 Способ и устройство поисковой навигации по информации
KR1020177030835A KR20170140226A (ko) 2015-04-28 2016-04-21 정보 검색 내비게이션 방법 및 장치
SG11201708392TA SG11201708392TA (en) 2015-04-28 2016-04-21 Information search navigation method and apparatus
BR112017022563A BR112017022563A2 (pt) 2015-04-28 2016-04-21 método e aparelho para navegação em busca de informações

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CN201510206720.8A CN106156244B (zh) 2015-04-28 2015-04-28 一种信息搜索导航方法及装置
CN201510206720.8 2015-04-28
US15/133,451 US20160320950A1 (en) 2015-04-28 2016-04-20 Information search navigation method and apparatus
US15/133,451 2016-04-20

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CN109948073A (zh) * 2017-09-25 2019-06-28 腾讯科技（深圳）有限公司 内容检索方法、终端、服务器、电子设备及存储介质
CN110532451A (zh) * 2019-06-26 2019-12-03 平安科技（深圳）有限公司 针对政策文本的检索方法和装置、存储介质、电子装置
CN113821716A (zh) * 2021-01-12 2021-12-21 北京沃东天骏信息技术有限公司 信息搜索方法和装置
CN113918822A (zh) * 2021-10-29 2022-01-11 北京达佳互联信息技术有限公司 内容搜索方法、装置、电子设备及存储介质
CN117392826A (zh) * 2023-12-11 2024-01-12 吉林大学 一种基于大数据的网络信息预警方法及系统

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RU2634228C1 (ru) * 2017-01-23 2017-10-24 Владимир Сергеевич Талала Способ поиска информации (варианты)
WO2018135971A1 (fr) * 2017-01-23 2018-07-26 Владимир Сергеевич ТАЛАЛА Procédé de recherche d'informations (variantes)
CN109948073A (zh) * 2017-09-25 2019-06-28 腾讯科技（深圳）有限公司 内容检索方法、终端、服务器、电子设备及存储介质
CN109948073B (zh) * 2017-09-25 2023-05-23 腾讯科技（深圳）有限公司 内容检索方法、终端、服务器、电子设备及存储介质
CN109446417A (zh) * 2018-10-12 2019-03-08 武汉朴琢知识产权咨询服务有限公司 一种智能化检索方法和装置
CN110532451A (zh) * 2019-06-26 2019-12-03 平安科技（深圳）有限公司 针对政策文本的检索方法和装置、存储介质、电子装置
CN110532451B (zh) * 2019-06-26 2023-08-29 平安科技（深圳）有限公司 针对政策文本的检索方法和装置、存储介质、电子装置
CN113821716A (zh) * 2021-01-12 2021-12-21 北京沃东天骏信息技术有限公司 信息搜索方法和装置
CN113918822A (zh) * 2021-10-29 2022-01-11 北京达佳互联信息技术有限公司 内容搜索方法、装置、电子设备及存储介质
CN117392826A (zh) * 2023-12-11 2024-01-12 吉林大学 一种基于大数据的网络信息预警方法及系统
CN117392826B (zh) * 2023-12-11 2024-02-13 吉林大学 一种基于大数据的网络信息预警方法及系统

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