WO2014040536A1 - 信息搜索方法、系统及存储介质 - Google Patents
信息搜索方法、系统及存储介质 Download PDFInfo
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- WO2014040536A1 WO2014040536A1 PCT/CN2013/083321 CN2013083321W WO2014040536A1 WO 2014040536 A1 WO2014040536 A1 WO 2014040536A1 CN 2013083321 W CN2013083321 W CN 2013083321W WO 2014040536 A1 WO2014040536 A1 WO 2014040536A1
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Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2425—Iterative querying; Query formulation based on the results of a preceding query
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24575—Query processing with adaptation to user needs using context
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 subject matter disclosed herein belongs to the field of Internet technologies, and in particular, to an information search method, system, and storage medium.
- search engines have become an indispensable tool for people's work and life.
- the search engine can extract the information of each website from the Internet, retrieve the records matching the user query string, and return the results in a certain order.
- Typical search engines include Baidu, Google, and the like.
- the existing search engine has the following disadvantages: It can only query according to the current search string input by the user, and cannot understand the user's intention in combination with the context; in addition, the existing search engine searches for any search term input by the user, when the information is missing. , can not prompt the user to complete the retrieval information according to the characteristics of the retrieval task.
- An information search method, system and storage medium are provided, which aim to solve the problem that the current search string can only be queried according to the current search string input by the user, the user intention cannot be fully understood, and the user cannot be prompted to supplement the search information.
- An aspect of the present invention provides an information search method, including:
- Another aspect of the present invention also provides an information search system, including:
- Information receiving module an information query string for receiving user input
- the information supplementing module is configured to determine whether the information query string input by the user is complete, and if the information query string input by the user is incomplete, the user is assisted to complete the information query string;
- Information Search Module Used for complete information query string search.
- an embodiment of the present invention further provides a storage medium including computer executable instructions for executing an information search method, the method comprising the steps of: receiving a message query string input by a user; The input information query string is complete. If the information query string input by the user is incomplete, the user is assisted to complete the information query string; and the search is performed according to the complete information query string.
- the technical solution of the foregoing aspect has the following advantages or advantages:
- the information searching method and system of the embodiment of the present invention understands the user's intention by combining the user history query and the user context, and helps the user to supplement the retrieval information, thereby making the retrieval more convenient and rapid, and improving the retrieval.
- the operability of the search in addition, the information search method and system of the embodiment of the present invention establish a database of corresponding domain knowledge for different tasks, and parse the user query, interact with the user, and complete the query task through the domain knowledge of the database.
- FIG. 1 is a flowchart of an information search method according to a first embodiment of the present invention
- FIG. 2 is a flowchart of an information search method according to a second embodiment of the present invention.
- FIG. 3 is a schematic structural diagram of an information search system according to a first embodiment of the present invention.
- FIG. 4 is a schematic structural diagram of an information search system according to a second embodiment of the present invention.
- FIG. 1 is a flow chart of an information search method according to a first embodiment of the present invention. As shown in Figure 1, the present invention The information search method of the first embodiment includes the following steps:
- Step S100 Receive a message query string input by a user
- the information query string input by the user may be a single word, word or sentence, or may be a plurality of words, words or sentences.
- Step S110 determining whether the information query string input by the user is complete, if the information query string input by the user is incomplete, proceeding to step S120, if the information query string input by the user is complete, proceeding to step S130;
- determining whether the information query string input by the user is complete may be based on whether the information input by the user can query the search result in the database, or the number of occurrences of the search result according to the query, or the retrieval of the same type of information according to the history.
- the information query string can be understood, and the manner of judging whether the information query string input by the user is complete is not limited to the above manner.
- Step S120 Help the user to complete the query information through the user context and/or the user context, and return to step S100;
- the user context includes a user history query, a user query record, and related query records of other users for similar information, and the user intention is understood through multiple human-machine conversations; the user context includes the user's geographic location, time, user interest, and the like. Helping the user to complete the query information can automatically help the user to complete the information query string, or return the prompt information for the user to complete.
- the information query string entered by the user is: Train ticket to Shanghai
- the information query string entered by the user is:
- Step S130 Search according to the complete information query string.
- the information search method of the second embodiment of the present invention includes the following steps:
- Step S200 Establish a database of the search field
- step S200 establishing a database of the search field includes the following steps: establishing different search domain keywords; obtaining common query corpus of the search task; extracting common sentence patterns according to the query corpus.
- a database of search fields can be set for different tasks such as train tickets, flights, and buses.
- the following is a description of the train ticket inquiry task. It can be understood that the information search method of the embodiment of the present invention is not limited to the above field.
- the establishment of a database for searching trains includes:
- Step a Establish keywords related to train query information, such as querying train information, and need to establish keywords such as train stations and trains;
- Step b Obtain common query corpus for train class queries.
- the common queries for train ticket inquiries include: How much is the train ticket from Beijing to Shanghai?
- Step c Through the above corpus, summarize the common sentence patterns of the train query tasks, such as the common sentence of the train class:
- Step S210 Receive an information query string input by a user
- the information query string input by the user may be a single word, word or sentence, or may be a plurality of words, words or sentences.
- Step S220 Differentiating the received information query string according to the established task classifier; in step S220, the task classifier distinguishes a specific domain to which the information query string belongs, for example, information The query string belongs to the fields of train, flight, bus information, restaurant information and so on.
- Step S230 determining whether the information query string input by the user is complete, if the information query string input by the user is incomplete, proceeding to step S240, if the information query string input by the user is complete, proceeding to step S270;
- determining whether the information query string input by the user is complete may be based on whether the information input by the user can query the search result in the database, or according to the number of times the search result is queried, or the same type of information is retrieved according to the history.
- the information query string can be understood, and the manner of judging whether the information query string input by the user is complete is not limited to the above manner.
- Step S240 Help the user to complete the query information by using the user context and/or the user context.
- the user context includes a user history query, a user query record, and related query records of other users for similar information, and multiple human-machine conversations. The user's intention is understood; the user's situation includes the user's geographical location, time, user interest, etc.; Helping the user to complete the query information can automatically help the user to complete the information query string, or return the prompt information for the user to complete.
- the information query string entered by the user is: Train ticket to Shanghai
- the information query string entered by the user is:
- Step S250 determining whether the user query information is complete, if the user query information is not complete, proceed to step S260, and if the user query information is complete, proceed to step 270;
- Step S260 prompting the user to complete the corresponding query information
- step S260 the user is prompted to complete the corresponding query information by returning a letter that needs to be supplemented. Interest, you can also return multiple query information for the user to choose.
- the information query string entered by the user is: Train ticket departing from Beijing
- Step S270 extract key information according to the query information
- Step S280 Call the corresponding service to perform retrieval, and return the retrieval result to the user.
- Figure 3 is a flow chart of the information search system of the first embodiment of the present invention.
- the information search system of the first embodiment of the present invention includes: an information receiving module, an information judging module, an information supplementing module, and an information searching module.
- the information receiving module is configured to receive a message query string input by the user; wherein the information query string input by the user may be a single word, a word or a sentence, or may be a plurality of words, words or sentences.
- the information judging module is configured to judge whether the information query string input by the user is complete. If the information query string input by the user is incomplete, the information supplementing module is used to help the user to complete the query information. If the information query string input by the user is complete, the information search is performed. The module searches.
- the information supplementing module is configured to help the user to complete the query information through the user context and/or the user context, where the user context includes a user history query, a user query record, and related query records of other users for similar information, and through multiple human-machine conversations, Understand the user's intention; the user's situation includes the user's geographical location, time, user interest, etc.; Help the user to complete the query information can automatically help the user to complete the information query string, or return the prompt information for the user to complete.
- the information query string entered by the user is: Train ticket to Shanghai
- the information query string entered by the user is:
- the information search module is configured to perform a search according to the information query string input by the user.
- Figure 4 is a flow chart showing the operation of the information search system of the second embodiment of the present invention.
- the information search system of the second embodiment of the present invention includes: a database establishing module, an information receiving module, an information distinguishing module, an information determining module, an information supplementing module, an information prompting module, an information extracting module, and an information searching module.
- the database establishing module is used to establish a database of the search field, wherein the database establishing module establishes a database of the search field, including the following steps: establishing keywords of different search fields; obtaining common query corpora of the search task; and extracting common sentence patterns according to the query corpus.
- a database of search fields can be set for different tasks such as train tickets, flights, and buses.
- the following is a description of the train ticket inquiry task. It can be understood that the information search method of the embodiment of the present invention is not limited to the above field.
- the establishment of a database for searching trains includes:
- Step a Establish keywords related to train query information, such as querying train information, and need to establish keywords such as train stations and trains;
- Step b Obtain common query corpus for train class queries.
- the common queries for train ticket inquiries include: How much is the train ticket from Beijing to Shanghai?
- Step c Through the above corpus, summarize the common sentence patterns of the train query tasks, such as the common sentence of the train class:
- the information receiving module is configured to receive a message query string input by the user; wherein the information query string input by the user may be a single word, a word or a sentence, or may be a plurality of words, words or sentences.
- the information distinguishing module is configured to distinguish the received information query string according to the established task classifier.
- the task classifier distinguishes the specific domain to which the information query string belongs, for example, the information query string belongs to the fields of train, flight, public transportation information, restaurant information, and the like.
- the information judging module is configured to judge whether the information query string input by the user is complete. If the information query string input by the user is incomplete, the information supplementing module is used to help the user to complete the query information. If the information query string input by the user is complete, the information is extracted. The module extracts key information. The information judging module judges whether the information query string input by the user is complete according to whether the information input by the user can query the search result in the database, or the number of times the search result is obtained according to the query, or the historical information is used to retrieve the similar information.
- the information query string can be understood, and the manner of judging whether the information query string input by the user is complete is not limited to the above manner.
- the information supplementing module is configured to help the user to complete the query information through the user context and/or the user context, where the user context includes a user history query, a user query record, and related query records of other users for similar information, and through multiple human-machine conversations, Understand the user's intention; the user's situation includes the user's geographical location, time, user interest, etc.; Help the user to complete the query information can automatically help the user to complete the information query string, or return the prompt information for the user to complete.
- the information query string entered by the user is: Train ticket to Shanghai
- the information query string entered by the user is:
- the information supplement judging module is configured to judge whether the user query information is supplemented completely. If the user query information is not supplemented, the information prompting module prompts the user to supplement the query information, if the user queries When the information is complete, the key information is extracted through the information extraction module.
- the information prompting module is configured to prompt the user to complete the corresponding query information, wherein the information prompting module prompts the user to complete the corresponding query information by returning the information that needs to be supplemented, or returns multiple query information for the user to select.
- the information query string entered by the user is: Train ticket departing from Beijing
- the information extraction module is configured to extract key information according to the query information.
- the information search module is configured to invoke a corresponding service to retrieve based on the information input by the user, and return the search result to the user.
- the information search method and system of the embodiment of the present invention can understand the user's intention by combining the user history query and the user context, and help the user to supplement the retrieval information, so that the retrieval is more convenient and rapid, and the operability of the retrieval is improved;
- the information search method and system establishes a database of corresponding domain knowledge for different tasks, and analyzes user queries, interacts with users, and completes query tasks through domain knowledge of the database.
- a person skilled in the art may understand that all or part of the steps of implementing the above embodiments may be completed by hardware, or may be instructed by a program to execute related hardware, and the program may be stored in a computer readable storage medium.
- the storage medium mentioned may be a read only memory, a magnetic disk or an optical disk or the like.
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- Physics & Mathematics (AREA)
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- General Engineering & Computer Science (AREA)
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Description
Claims
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US14/413,239 US20150302056A1 (en) | 2012-09-13 | 2013-09-11 | Method, system, and storage medium for information search |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210336551.6 | 2012-09-13 | ||
| CN201210336551.6A CN103678358A (zh) | 2012-09-13 | 2012-09-13 | 一种信息搜索方法及系统 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2014040536A1 true WO2014040536A1 (zh) | 2014-03-20 |
Family
ID=50277626
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2013/083321 Ceased WO2014040536A1 (zh) | 2012-09-13 | 2013-09-11 | 信息搜索方法、系统及存储介质 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20150302056A1 (zh) |
| CN (1) | CN103678358A (zh) |
| WO (1) | WO2014040536A1 (zh) |
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| CN103914548B (zh) * | 2014-04-10 | 2018-01-09 | 北京百度网讯科技有限公司 | 信息搜索方法和装置 |
| US10210146B2 (en) * | 2014-09-28 | 2019-02-19 | Microsoft Technology Licensing, Llc | Productivity tools for content authoring |
| US9521522B2 (en) * | 2015-02-19 | 2016-12-13 | Indooratlas Oy | Mobile apparatus with search function |
| CN105095456B (zh) * | 2015-07-27 | 2019-11-26 | 联想(北京)有限公司 | 一种信息处理方法及电子设备 |
| CN105808688B (zh) * | 2016-03-02 | 2021-02-05 | 百度在线网络技术(北京)有限公司 | 基于人工智能的补全检索方法及装置 |
| CN105892861A (zh) * | 2016-03-31 | 2016-08-24 | 联想(北京)有限公司 | 一种信息处理方法、系统及电子设备 |
| US9684693B1 (en) * | 2016-04-05 | 2017-06-20 | Google Inc. | On-device query rewriting |
| CN106874507B (zh) * | 2017-02-28 | 2020-12-25 | 百度在线网络技术(北京)有限公司 | 用于推送信息的方法、装置及服务器 |
| CN108334487B (zh) * | 2017-07-14 | 2021-06-25 | 腾讯科技(深圳)有限公司 | 缺失语意信息补全方法、装置、计算机设备和存储介质 |
| CN110020148B (zh) * | 2017-11-29 | 2022-04-26 | 北京搜狗科技发展有限公司 | 一种信息推荐方法、装置和用于信息推荐的装置 |
| CN108427756B (zh) * | 2018-03-16 | 2021-02-12 | 中国人民解放军国防科技大学 | 基于同类用户模型的个性化查询词补全推荐方法和装置 |
| CN108763579B (zh) * | 2018-06-08 | 2020-12-22 | Oppo(重庆)智能科技有限公司 | 搜索内容推荐方法、装置、终端设备及存储介质 |
| CN109271500A (zh) * | 2018-09-18 | 2019-01-25 | 广州神马移动信息科技有限公司 | 一种问答输入的智能提示方法、装置和终端设备 |
| CN113901314B (zh) * | 2021-09-30 | 2025-11-25 | 北京百度网讯科技有限公司 | 处理用户查询内容的方法、装置、设备和介质 |
| CN113986953A (zh) * | 2021-11-03 | 2022-01-28 | 中国南方电网有限责任公司超高压输电公司天生桥局 | 换流站受限数据显示方法、装置、计算机设备和存储介质 |
| CN117009614B (zh) * | 2023-07-20 | 2024-01-09 | 武汉大学 | 一种地理信息资源检索意图检测方法及计算机可读介质 |
| CN117009451A (zh) * | 2023-08-22 | 2023-11-07 | 深圳依时货拉拉科技有限公司 | 检索服务中查询信息的补全方法、装置和可读存储介质 |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN103678358A (zh) | 2014-03-26 |
| US20150302056A1 (en) | 2015-10-22 |
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