WO2015139459A1 - 搜索推荐方法和装置 - Google Patents

搜索推荐方法和装置 Download PDF

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Publication number
WO2015139459A1
WO2015139459A1 PCT/CN2014/089735 CN2014089735W WO2015139459A1 WO 2015139459 A1 WO2015139459 A1 WO 2015139459A1 CN 2014089735 W CN2014089735 W CN 2014089735W WO 2015139459 A1 WO2015139459 A1 WO 2015139459A1
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Prior art keywords
search
content item
user
page
search term
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PCT/CN2014/089735
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English (en)
French (fr)
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黄际洲
王海峰
赵明华
张铎
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百度在线网络技术（北京）有限公司
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Priority to US14/898,532 priority Critical patent/US20160125047A1/en
Priority to KR1020157035782A priority patent/KR101711322B1/ko
Priority to JP2016522263A priority patent/JP2016526728A/ja
Publication of WO2015139459A1 publication Critical patent/WO2015139459A1/zh

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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
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06F16/2455—Query execution
    • 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
    • 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

Definitions

  • the present invention relates to the field of computer technologies, and in particular, to a search recommendation method and apparatus.
  • the search engine will recommend some entity information related to the search term input by the user on the right side of the search page provided by the search engine, and match the entity information with the image, thinking that Users provide a wealth of graphic information, so that users can more fully understand the entity information recommended by search engines.
  • the current problem is that the entity information recommended by the search engine does not meet the user's search intent and cannot meet the user's needs.
  • the user enters the search term “Beijing” in the search engine.
  • the search engine will recommend some cities and place names related to the search term Beijing on the right side of the search page, or recommend some national air most. Good city and so on.
  • users' intentions are often to learn about all aspects of Beijing, such as Beijing's attractions, culture, celebrities, food, landmarks, and more. As a result, users often experience poor experience when using search engines.
  • the present invention aims to solve at least one of the above technical problems.
  • a first object of the present invention is to propose a search recommendation method. While providing search results for users, the method can also help users to understand the comprehensive information related to the type of search words, provide users with information more in line with the search intent, meet the needs of users, and improve the user experience.
  • a second object of the present invention is to provide a search recommendation device.
  • a third object of the present invention is to provide a storage medium.
  • the search recommendation method of the first aspect of the present invention includes: receiving a search term; acquiring a plurality of search results related to the search term, and acquiring at least one of the knowledge bases related to the search term a content item; acquiring at least one recommendation result according to the search term and the at least one content item; and providing a search page, wherein the search page includes a first presentation portion and a second presentation portion, the plurality of search result displays In the first presentation portion of the search page, the at least one recommendation result is displayed on a second presentation portion of the search page.
  • the search recommendation method acquires a search term related to a search term according to a search term input by a user
  • the plurality of search results, and the content items related to the search words in the knowledge base and the corresponding recommendation results are obtained, and the search results, the content items, and the recommendation results are simultaneously presented to the user in the search page. Therefore, while providing search results for the user, the user can also help the user to understand the comprehensive information related to the type of the search word, provide the user with information more in line with the search intention, satisfy the user's needs, and improve the user experience.
  • the search recommendation apparatus of the second aspect of the present invention includes: a receiving module, configured to receive a search term; and a first obtaining module, configured to acquire a plurality of search results related to the search term, and obtain At least one content item in the knowledge base related to the search term; a second obtaining module, configured to acquire at least one recommendation result according to the search term and the at least one content item; and a display module, configured to provide a search page, Wherein the search page includes a first presentation portion and a second presentation portion, the plurality of search results are displayed on a first presentation portion of the search page, and the at least one recommendation result is displayed on a second of the search page Show part.
  • the search recommendation device acquires a plurality of search results related to the search term according to the search term input by the user, and acquires the content item related to the search term in the knowledge base and the corresponding recommendation result, and the search result is obtained.
  • the content item and the recommendation result are simultaneously presented to the user in the search page. Therefore, while providing search results for the user, the user can also help the user to understand the comprehensive information related to the type of the search word, provide the user with information more in line with the search intention, satisfy the user's needs, and improve the user experience.
  • a storage medium configured to store an application for performing a search recommendation method according to an embodiment of the present invention at runtime.
  • a plurality of search results related to the search term are acquired according to the search term input by the user, and content items related to the search term in the knowledge base and corresponding recommendation results are obtained, and the search result, The content item and the recommendation result are simultaneously presented to the user in the search page. Therefore, while providing search results for the user, the user can also help the user to understand the comprehensive information related to the type of the search word, provide the user with information more in line with the search intention, satisfy the user's needs, and improve the user experience.
  • FIG. 2 is a flow chart of a search recommendation method in accordance with one embodiment of the present invention.
  • FIG. 3 is a schematic diagram of a search engine recommendation content item and a corresponding recommendation result according to an embodiment of the present invention
  • FIG. 4 is a schematic diagram of a search engine recommendation content item and a corresponding recommendation result according to another embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a search recommendation device according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of a search engine providing a search page in accordance with another embodiment of the present invention.
  • the term "knowledge base” is a structured, easy-to-use, easy-to-use, fully organized knowledge cluster in knowledge engineering, which is required for solving a certain (or some) domain problem, using some sort of (or several) knowledge representations A collection of interrelated pieces of knowledge stored, organized, managed, and used in computer memory. These pieces of knowledge include theoretical knowledge, factual data, and heuristic knowledge obtained from expert experience, such as definitions, theorems and algorithms, and common-sense knowledge in a certain field.
  • the terms “first” and “second” are used for descriptive purposes only, and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, features defining “first” and “second” may include one or more of the features either explicitly or implicitly.
  • the meaning of "a plurality" is two or more unless specifically and specifically defined otherwise.
  • the search engine recommends to the user on the right side of the search page a title and picture information such as place names, famous spots, and the like related to the search term Chengdu.
  • the search engine recommends to the user the title and picture information of the city, place name, and the like related to the search term Taipei on the right side of the search page.
  • search engine can recommend the user's information about the co-located or the lower-level entity of the search term according to the search term used for input, the user can understand the comprehensive information related to the search term, and not only can provide the user with the search result more in line with the user's search intention. Meet the needs of users and enhance the user experience.
  • the search recommendation method includes:
  • the user can enter a search term in the search interface search field provided by the search engine.
  • the user can input names such as "Beijing”, “Chengdu”, “Taipei”, and the names of "Yang Mi” and “Wang Fei”, or enter the names of "ribs” and "xiaolongbao”.
  • the search engine may obtain information related to the search term from the Internet according to the search strategy of the search engine, and after acquiring and processing the information, obtain a plurality of search results related to the search term.
  • the search engine obtains a plurality of search results, and also acquires one or more content items of the search word in place or in the lower position from the knowledge base.
  • the content item may be preset by the search engine and the content item is related to the type of the search term.
  • the search engine can search for the corresponding content item in the knowledge base according to the search term. Further, the search engine can also obtain the content item corresponding to the search term according to the user's historical search record and/or historical click record.
  • the search engine can acquire a plurality of lower content items of the search term “Beijing characters”, “Beijing on the tongue”, “Beijing famous attractions”, etc. .
  • the search engine may acquire a plurality of lower content items of the search term “Chengdu characters”, “Chengdu on the tip of the tongue”, and “Chengdu famous attractions”. Wait. That is to say, the search engine obtains the search results related to the search words, and also obtains related content items of related celebrities, tourist attractions, food, culture, landmarks and the like according to the type of the search words.
  • the search engine may obtain multiple recommendation results corresponding to each content item from the Internet by using a search strategy of the search engine.
  • the recommendation results include pictures and related instructions.
  • the search engine can obtain the pictures and names of the corresponding “Yang Mi”, “Liu Shishi”, “Lao She” and the like; if the content item is “on the tip of the tongue” "Beijing”, the search engine can obtain the corresponding "Old Beijing Court Cheese”, “Beijing Roast Duck”, “Old Beijing Noodles” and other food pictures and names; if the content item is "Beijing famous attractions”, the search engine can Get the pictures and names of the corresponding “Houhai”, “Yuanmingyuan”, “Beijing Forbidden City” and other tourist attractions. For another example, as shown in FIG.
  • the search engine may obtain the picture and name of the corresponding celebrity such as “Cuckoo”, “Zhang Yuying”, “Zhuge Liang”; if the content item is “on the tip of the tongue” In Chengdu, the search engine can obtain pictures of the corresponding "Spicy Chicken”, “Kung Pao Chicken”, “Sauerkraut Fish” and other foods. The title and name; if the content item is “Chengdu Famous Attractions”, the search engine can obtain the pictures and names of the corresponding "Qingcheng Mountain", “Wuhou Temple”, “Xiling Snow Mountain” and other tourist attractions.
  • the search engine may overlay the relevant description of the picture on the corresponding position of the picture according to a preset algorithm, and then display the picture and the related description on the whole.
  • a search page is provided, wherein the search page includes a first presentation portion and a second presentation portion, the plurality of search results are displayed on the first presentation portion of the search page, and the at least one recommendation result is displayed on the second presentation portion of the search page.
  • the first presentation portion is located on the left side of the search page and the second presentation portion is located on the right side of the search page.
  • the search engine may respectively provide multiple search results related to the search term and multiple recommendation results corresponding to the content item in the search engine respectively.
  • the search page is presented to the user.
  • the search engine may set the search page into two parts, that is, the first presentation part and the second presentation part, and display the plurality of search results related to the search word in the first presentation part on the left side of the search page, and simultaneously each content A plurality of recommendation results corresponding to the item are presented in the second presentation portion on the right side of the search page.
  • the search engine may display several of the content items and the corresponding recommendation results in the search page, hide the remaining content items and the recommendation results, and search the page.
  • the upper right corner provides the user with a virtual button to expand all content items and recommendations. By clicking “All”, the user can expand all the recommended results of “Beijing People” or “Chengdu Famous Attractions” within the knowledge base to form a special list page for viewing.
  • a plurality of search results related to the search term are acquired according to the search term input by the user, and content items related to the search term in the knowledge base and corresponding recommendation results are acquired, and the search result is obtained.
  • the content item and the recommendation result are simultaneously presented to the user in the search page. Therefore, while providing search results for the user, the user can also help the user to understand the comprehensive information related to the type of the search word, provide the user with information more in line with the search intention, satisfy the user's needs, and improve the user experience.
  • the present invention also proposes a search recommendation device.
  • FIG. 5 is a schematic structural diagram of a search recommendation device according to an embodiment of the present invention.
  • the search recommendation device includes a receiving module 100, a first obtaining module 200, a second obtaining module 300, and a display module 400.
  • the receiving module 100 is configured to receive a search term.
  • the user may input a search term to the receiving module 100 in a search interface search field provided by the search engine.
  • the user can input names such as "Beijing”, “Chengdu”, “Taipei”, and the names of "Yang Mi” and “Wang Fei”, or enter the names of "ribs" and "xiaolongbao”.
  • the first obtaining module 200 is configured to acquire a plurality of search results related to the search term, and acquire at least one content item related to the search term. Specifically, the first obtaining module 200 may search by a search engine according to the search term. A strategy for obtaining information related to a search term from the Internet, and after organizing and processing the information, obtaining a plurality of search results related to the search term. Different from the existing search engine, in the embodiment of the present invention, the first obtaining module 200 acquires one or more content items of the same or the lower level of the search word while acquiring the plurality of search results.
  • the knowledge base is a structured, easy-to-use, easy-to-use, comprehensive and organized knowledge cluster in knowledge engineering.
  • the content item may be preset by the search engine and the content item is related to the type of the search term.
  • the first obtaining module 200 may search for a corresponding content item in the knowledge base according to the search term. Further, the first obtaining module 200 may further acquire the content item corresponding to the search word according to the historical search record and/or the historical click record of the user.
  • the first obtaining module 200 may acquire a plurality of lower content items of the search term “Beijing characters”, “Beijing on the tongue”, “Beijing famous” Attractions” and so on.
  • the search term input by the user is “Chengdu”
  • the first obtaining module 200 may acquire a plurality of lower content items of the search term “Chengdu characters”, “Chengdu on the tip of the tongue”, “Chengdu” Famous attractions, etc. That is to say, the first obtaining module 200 acquires the content items of related entities such as celebrities, tourist attractions, food, culture, landmarks, etc. according to the type of the search words while acquiring the search results related to the search words.
  • the second obtaining module 300 is configured to obtain at least one recommendation result according to the search term and the at least one content item. Specifically, after acquiring the plurality of search results related to the search term and the plurality of content items corresponding to the search term, the second obtaining module 300 may acquire, according to the search policy, each content item corresponding to the content item. Multiple recommendations. Among them, the recommendation results include pictures and related instructions.
  • the second obtaining module 300 may acquire the pictures and names of the corresponding “Yang Mi”, “Liu Shishi”, “Lao She” and the like; if the content item is “ “Beijing on the tip of the tongue”, the second acquisition module 300 can obtain the corresponding pictures and names of "Old Beijing Court Cheese”, “Beijing Roast Duck”, “Old Beijing Noodles”, etc.; if the content item is "Beijing Famous Attractions" Then, the second obtaining module 300 can obtain the pictures and names of the corresponding tourist attractions such as “Houhai”, “Yuanmingyuan” and “Beijing Forbidden City”.
  • the second obtaining module 300 may obtain the pictures and names of the corresponding celebrities such as “Cuckoo”, “Zhang Yuying”, “Zhuge Liang”, etc.; if the content item is “Chengdu on the tip of the tongue”, the second acquisition module 300 can obtain the corresponding pictures and names of "Spicy Chicken”, “Kung Pao Chicken”, “Sauerkraut Fish” and the like; if the content item is “Chengdu Famous Attractions", Then, the second obtaining module 300 can obtain the pictures and names of the corresponding tourist attractions such as “Qingcheng Mountain”, “Wuhou Temple” and “Xiling Snow Mountain”.
  • the display module 400 is configured to provide a search page, where the search page includes a first presentation portion and a second presentation Partially, and the first presentation portion is located on the left side of the search page and the second presentation portion is located on the right side of the search page.
  • a plurality of search results are displayed on the first presentation portion of the search page, and at least one recommendation result is displayed on the second presentation portion of the search page.
  • the second obtaining module 300 may display the plurality of search results related to the search term and the plurality of recommendations corresponding to the content item. The results are presented to the user in the search page.
  • the display module 400 may set the search page as two parts, that is, the first presentation part and the second presentation part, and display a plurality of search results related to the search word in the first presentation part on the left side of the search page, and each will be A plurality of recommendation results corresponding to the content item are presented in the second presentation portion on the right side of the search page.
  • the search recommendation device acquires a plurality of search results related to the search term according to the search term input by the user, and acquires the content item related to the search term in the knowledge base and the corresponding recommendation result, and the search result is obtained.
  • the content item and the recommendation result are simultaneously presented to the user in the search page. Therefore, while providing search results for the user, the user can also help the user to understand the comprehensive information related to the type of the search word, provide the user with information more in line with the search intention, satisfy the user's needs, and improve the user experience.
  • the present invention also provides a storage medium for storing an application for performing a search recommendation method according to an embodiment of the present invention at runtime.
  • a plurality of search results related to the search term are acquired according to the search term input by the user, and content items related to the search term in the knowledge base and corresponding recommendation results are obtained, and the search result, The content item and the recommendation result are simultaneously presented to the user in the search page. Therefore, while providing search results for the user, the user can also help the user to understand the comprehensive information related to the type of the search word, provide the user with information more in line with the search intention, satisfy the user's needs, and improve the user experience.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

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Abstract

本发明提出一种搜索推荐方法和装置。其中，所述方法包括：接收搜索词；获取与所述搜索词相关的多个搜索结果，并获取知识库中与所述搜索词相关的至少一个内容项；根据搜索词和至少一个内容项获取至少一个推荐结果；以及提供搜索页面，其中，搜索页面包括第一展现部分和第二展现部分，多个搜索结果显示在搜索页面的第一展现部分，至少一个推荐结果显示在搜索页面的第二展现部分。根据本发明实施例方法，在为用户提供搜索结果的同时，还可帮助用户了解和搜索词的类型相关的综合信息，为用户提供更加符合搜索意图的信息，满足了用户的需求，提升了用户体验。

Description

搜索推荐方法和装置 技术领域
本发明涉及计算机技术领域，尤其涉及一种搜索推荐方法和装置。
背景技术
随着计算机技术的不断发展，使得互联网的应用越来越普及，互联网的用户可以通过搜索引擎来获取其需要的网络资源。目前，搜索引擎为了方便用户更加快捷地获取所需要的信息，会在搜索引擎提供的搜索页面的右侧推荐一些与用户输入的搜索词相关的实体信息，并为该实体信息配上图片，以为用户提供丰富的图文信息，便于用户更全面地了解搜索引擎推荐的实体信息。
然而，目前存在的问题是，搜索引擎推荐的实体信息并不符合用户的搜索意图，不能满足用户的需求。例如，如图1(a)所示，用户在搜索引擎中输入搜索词“北京”，搜索引擎会在搜索页面的右侧推荐一些与搜索词北京相关的城市、地名，或者推荐一些全国空气最好的城市等等。然而，用户的意图往往是希望了解与北京有关的方方面面的信息，例如，北京的景点、文化、名人、美食、地标等等。因此，往往会导致用户使用搜索引擎时的体验很差。
发明内容
本发明旨在至少解决上述技术问题之一。
为此，本发明的第一个目的在于提出一种搜索推荐方法。该方法在为用户提供搜索结果的同时，还可帮助用户了解和搜索词的类型相关的综合信息，为用户提供更加符合搜索意图的信息，满足了用户的需求，提升了用户体验。
本发明的第二个目的在于提出一种搜索推荐装置。
本发明的第三个目的在于提出一种存储介质。
为了实现上述目的，本发明第一方面实施例的搜索推荐方法，包括：接收搜索词；获取与所述搜索词相关的多个搜索结果，并获取知识库中与所述搜索词相关的至少一个内容项；根据所述搜索词和所述至少一个内容项获取至少一个推荐结果；以及提供搜索页面，其中，所述搜索页面包括第一展现部分和第二展现部分，所述多个搜索结果显示在所述搜索页面的第一展现部分，所述至少一个推荐结果显示在所述搜索页面的第二展现部分。
根据本发明实施例的搜索推荐方法，根据用户输入的搜索词，获取与搜索词相关的 多个搜索结果，并获取知识库中与搜索词相关的内容项和对应的推荐结果，并将搜索结果、内容项和推荐结果同时在搜索页面中展现给用户。由此，在为用户提供搜索结果的同时，还可帮助用户了解和搜索词的类型相关的综合信息，为用户提供更加符合搜索意图的信息，满足了用户的需求，提升了用户体验。
为了实现上述目的，本发明第二方面实施例的搜索推荐装置，包括：接收模块，用于接收搜索词；第一获取模块，用于获取与所述搜索词相关的多个搜索结果，并获取知识库中与所述搜索词相关的至少一个内容项；第二获取模块，用于根据所述搜索词和所述至少一个内容项获取至少一个推荐结果；以及显示模块，用于提供搜索页面，其中，所述搜索页面包括第一展现部分和第二展现部分，所述多个搜索结果显示在所述搜索页面的第一展现部分，所述至少一个推荐结果显示在所述搜索页面的第二展现部分。
根据本发明实施例的搜索推荐装置，根据用户输入的搜索词，获取与搜索词相关的多个搜索结果，并获取知识库中与搜索词相关的内容项和对应的推荐结果，并将搜索结果、内容项和推荐结果同时在搜索页面中展现给用户。由此，在为用户提供搜索结果的同时，还可帮助用户了解和搜索词的类型相关的综合信息，为用户提供更加符合搜索意图的信息，满足了用户的需求，提升了用户体验。
为了实现上述目的，本发明第三方面实施例的存储介质，用于存储应用程序，该应用程序用于在运行时执行如本发明实施例所述的搜索推荐方法。
根据本发明实施例的存储介质，根据用户输入的搜索词，获取与搜索词相关的多个搜索结果，并获取知识库中与搜索词相关的内容项和对应的推荐结果，并将搜索结果、内容项和推荐结果同时在搜索页面中展现给用户。由此，在为用户提供搜索结果的同时，还可帮助用户了解和搜索词的类型相关的综合信息，为用户提供更加符合搜索意图的信息，满足了用户的需求，提升了用户体验。
本发明附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本发明的实践了解到。
附图说明
本发明上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解，其中，
图1(a)-(c)是相关技术中搜索引擎推荐的实体信息的示意图；
图2是根据本发明一个实施例的搜索推荐方法的流程图；
图3是根据本发明一个实施例的搜索引擎推荐内容项和对应的推荐结果的示意图；
图4是根据本发明另一个实施例的搜索引擎推荐内容项和对应的推荐结果的示意图；
图5是根据本发明一个实施例的搜索推荐装置的结构示意图；以及
图6是根据本发明另一个实施例的搜索引擎提供搜索页面的示意图。
具体实施方式
下面通过参考附图描述的实施例是示例性的，仅用于解释本发明，而不能理解为对本发明的限制。相反，本发明的实施例包括落入所附加权利要求书的精神和内涵范围内的所有变化、修改和等同物。
在本发明的描述中，术语“知识库”是知识工程中结构化，易操作，易利用，全面有组织的知识集群，是针对某一(或某些)领域问题求解的需要，采用某种(或若干)知识表示方式在计算机存储器中存储、组织、管理和使用的互相联系的知识片集合。这些知识片包括与领域相关的理论知识、事实数据，由专家经验得到的启发式知识，如某领域内有关的定义、定理和运算法则以及常识性知识等。在本发明的描述中，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括一个或者更多个该特征。在本发明的描述中，“多个”的含义是两个或两个以上，除非另有明确具体的限定。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或更多个用于实现特定逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本发明的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序，包括根据所涉及的功能按基本同时的方式或按相反的顺序，来执行功能，这应被本发明的实施例所属技术领域的技术人员所理解。
下面参考附图描述根据本发明实施例的搜索推荐方法和装置。
目前，搜索引擎推荐的实体信息往往并不符合用户的搜索意图，不能满足用户的需求。例如，如图1(b)所示，以搜索词为“成都”来说，搜索引擎在搜索页面右侧推荐给用户与搜索词成都相关的地名、著名景点等标题和图片信息。再例如，如图1(c)所示，以搜索词为“台北”来说，搜索引擎在搜索页面右侧推荐给用户与搜索词台北相关的城市、地名等标题和图片信息。
如果搜索引擎根据用于输入的搜索词可以推荐给用户有关搜索词的同位或者下位的实体信息，帮助用户了解和搜索词相关的综合信息，不仅可以为用户提供更加符合用户搜索意图的搜索结果，满足用户的需求，提升用户的体验。
图2是根据本发明一个实施例的搜索推荐方法的流程图。如图2所示，该搜索推荐方法包括：
S101，接收搜索词。
具体而言，用户可在搜索引擎提供的搜索界面搜索栏中输入搜索词。例如，用户可输入“北京”、“成都”、“台北”等地名，还可输入“杨幂”、“王菲”等人名，或者还可输入“排骨”、“小笼包”等食品名。
S102，获取与所述搜索词相关的多个搜索结果，并获取知识库中与所述搜索词相关的至少一个内容项。
具体而言，搜索引擎可根据搜索词通过搜索引擎的搜索策略，从互联网上获取与搜索词相关的信息，在对信息进行组织和处理后，获取与搜索词相关的多个搜索结果。区别于现有的搜索引擎而言，在本发明实施例中，搜索引擎在获取多个搜索结果的同时，还从知识库中获取搜索词同位、或者下位的一个或者多个内容项。内容项可为搜索引擎预设的，且该内容项与搜索词的类型相关。搜索引擎可根据搜索词在知识库中查找对应的内容项，进一步而言，搜索引擎还可根据用户的历史搜索记录和/或历史点击记录获取搜索词对应的内容项。
例如，如图3所示，如果用户输入的搜索词为“北京”，则搜索引擎可获取搜索词的多个下位内容项“北京人物”、“舌尖上的北京”、“北京著名景点”等。再例如，如图4所示，如果用户输入的搜索词为“成都”，则搜索引擎可获取搜索词的多个下位内容项“成都人物”、“舌尖上的成都”、“成都著名景点”等。也就是说，搜索引擎在获取与搜索词相关的搜索结果的同时，还根据搜索词的类型获取一些相关的名人、旅游景点、美食、文化、地标等实体的内容项。
S103，根据搜索词和至少一个内容项获取至少一个推荐结果。
具体而言，搜索引擎在获取与搜索词相关的多个搜索结果和搜索词对应的多个内容项之后，可通过搜索引擎的搜索策略，从互联网上获取每个内容项对应的多个推荐结果。其中，推荐结果包括图片和相关说明。
例如，如图3所示，如果内容项为“北京人物”，则搜索引擎可获取对应的“杨幂”、“刘诗诗”、“老舍”等名人的图片和姓名；如果内容项为“舌尖上的北京”，则搜索引擎可获取对应的“老北京宫廷奶酪”、“北京烤鸭”、“老北京炸酱面”等美食的图片和名称；如果内容项为“北京著名景点”，则搜索引擎可获取对应的“后海”、“圆明园”、“北京故宫”等旅游景点的图片和名称。再例如，如图4所示，如果内容项为“成都人物”，则搜索引擎可获取对应的“杜甫”、“张靓颖”、“诸葛亮”等名人的图片和姓名；如果内容项为“舌尖上的成都”，则搜索引擎可获取对应的“辣子鸡”、“宫保鸡丁”、“酸菜鱼”等美食的图 片和名称；如果内容项为“成都著名景点”，则搜索引擎可获取对应的“青城山”、“武侯祠”、“西岭雪山”等旅游景点的图片和名称。
应当理解的是，搜索引擎可根据预设的算法将图片的相关说明覆盖在图片的对应位置上，然后再整体展现图片和覆盖在其上面的相关说明。
S104，提供搜索页面，其中，搜索页面包括第一展现部分和第二展现部分，多个搜索结果显示在搜索页面的第一展现部分，至少一个推荐结果显示在搜索页面的第二展现部分。
在本发明的实施例中，第一展现部分位于是搜索页面的左侧，第二展现部分位于搜索页面的右侧。具体而言，如图6所示，搜索引擎在获取每个内容项对应的多个推荐结果之后，可将搜索词相关的多个搜索结果和内容项对应的多个推荐结果分别在搜索引擎提供的搜索页面中展现给用户。搜索引擎可将搜索页面设置为两个部分，即第一展现部分和第二展现部分，将搜索词相关的多个搜索结果展现在搜索页面左侧的第一展现部分中，同时将每个内容项对应的多个推荐结果展现在搜索页面右侧的第二展现部分中。
应当理解的是，如图3和图4所示，搜索引擎可在搜索页面中展现多个内容项和对应的推荐结果中的几个，将其余的内容项和推荐结果隐藏，并在搜索页面的右上角为用户提供展开全部内容项和推荐结果的虚拟按键。用户通过点击“全部”，可以展开知识库范围内“北京人物”、或者“成都著名景点”等内容向中的所有推荐结果，形成一个专门的列表页面进行查看。
根据本发明实施例的搜索推荐方法，根据用户输入的搜索词，获取与搜索词相关的多个搜索结果，并获取知识库中与搜索词相关的内容项和对应的推荐结果，并将搜索结果、内容项和推荐结果同时在搜索页面中展现给用户。由此，在为用户提供搜索结果的同时，还可帮助用户了解和搜索词的类型相关的综合信息，为用户提供更加符合搜索意图的信息，满足了用户的需求，提升了用户体验。
为了实现上述实施例，本发明还提出一种搜索推荐装置。
图5是根据本发明一个实施例的搜索推荐装置的结构示意图。如图5所示，搜索推荐装置包括接收模块100、第一获取模块200、第二获取模块300和显示模块400。
具体地，接收模块100用于接收搜索词。具体而言，用户可在搜索引擎提供的搜索界面搜索栏中输入搜索词至接收模块100。例如，用户可输入“北京”、“成都”、“台北”等地名，还可输入“杨幂”、“王菲”等人名，或者还可输入“排骨”、“小笼包”等食品名。
第一获取模块200用于获取与搜索词相关的多个搜索结果，并获取与搜索词相关的至少一个内容项。具体而言，第一获取模块200可根据搜索词通过搜索引擎的搜索 策略，从互联网上获取与搜索词相关的信息，在对信息进行组织和处理后，获取与搜索词相关的多个搜索结果。区别于现有的搜索引擎而言，在本发明实施例中，第一获取模块200在获取多个搜索结果的同时，还获取搜索词同位、或者下位的一个或者多个内容项。其中，知识库是知识工程中结构化，易操作，易利用，全面有组织的知识集群，是针对某一(或某些)领域问题求解的需要，采用某种(或若干)知识表示方式在计算机存储器中存储、组织、管理和使用的互相联系的知识片集合。这些知识片包括与领域相关的理论知识、事实数据，由专家经验得到的启发式知识，如某领域内有关的定义、定理和运算法则以及常识性知识等。内容项可为搜索引擎预设的，且该内容项与搜索词的类型相关。第一获取模块200可根据搜索词在知识库中查找对应的内容项，进一步而言，第一获取模块200还可根据用户的历史搜索记录和/或历史点击记录获取搜索词对应的内容项。
例如，如图3所示，如果用户输入的搜索词为“北京”，则第一获取模块200可获取搜索词的多个下位内容项“北京人物”、“舌尖上的北京”、“北京著名景点”等。再例如，如图4所示，如果用户输入的搜索词为“成都”，则第一获取模块200可获取搜索词的多个下位内容项“成都人物”、“舌尖上的成都”、“成都著名景点”等。也就是说，第一获取模块200在获取与搜索词相关的搜索结果的同时，还根据搜索词的类型获取一些相关的名人、旅游景点、美食、文化、地标等实体的内容项。
第二获取模块300用于根据搜索词和至少一个内容项获取至少一个推荐结果。具体而言，第一获取模块200在获取与搜索词相关的多个搜索结果和搜索词对应的多个内容项之后，第二获取模块300可根据搜索策略，从互联网上获取每个内容项对应的多个推荐结果。其中，推荐结果包括图片和相关说明。
例如，如图3所示，如果内容项为“北京人物”，则第二获取模块300可获取对应的“杨幂”、“刘诗诗”、“老舍”等名人的图片和姓名；如果内容项为“舌尖上的北京”，则第二获取模块300可获取对应的“老北京宫廷奶酪”、“北京烤鸭”、“老北京炸酱面”等美食的图片和名称；如果内容项为“北京著名景点”，则第二获取模块300可获取对应的“后海”、“圆明园”、“北京故宫”等旅游景点的图片和名称。再例如，如图4所示，如果内容项为“成都人物”，则第二获取模块300可获取对应的“杜甫”、“张靓颖”、“诸葛亮”等名人的图片和姓名；如果内容项为“舌尖上的成都”，则第二获取模块300可获取对应的“辣子鸡”、“宫保鸡丁”、“酸菜鱼”等美食的图片和名称；如果内容项为“成都著名景点”，则第二获取模块300可获取对应的“青城山”、“武侯祠”、“西岭雪山”等旅游景点的图片和名称。
显示模块400用于提供搜索页面，其中，搜索页面包括第一展现部分和第二展现 部分，且第一展现部分位于是搜索页面的左侧，第二展现部分位于搜索页面的右侧。多个搜索结果显示在搜索页面的第一展现部分，至少一个推荐结果显示在搜索页面的第二展现部分。具体而言，如图6所示，第二获取模块300在获取每个内容项对应的多个推荐结果之后，显示模块400可将搜索词相关的多个搜索结果和内容项对应的多个推荐结果分别在搜索页面中展现给用户。显示模块400可将搜索页面设置为两个部分，即第一展现部分和第二展现部分，将搜索词相关的多个搜索结果展现在搜索页面左侧的第一展现部分中，同时将每个内容项对应的多个推荐结果展现在搜索页面右侧的第二展现部分中。
根据本发明实施例的搜索推荐装置，根据用户输入的搜索词，获取与搜索词相关的多个搜索结果，并获取知识库中与搜索词相关的内容项和对应的推荐结果，并将搜索结果、内容项和推荐结果同时在搜索页面中展现给用户。由此，在为用户提供搜索结果的同时，还可帮助用户了解和搜索词的类型相关的综合信息，为用户提供更加符合搜索意图的信息，满足了用户的需求，提升了用户体验。
为了实现上述实施例，本发明还提出一种存储介质，用于存储应用程序，该应用程序用于在运行时执行如本发明实施例所述的搜索推荐方法。
根据本发明实施例的存储介质，根据用户输入的搜索词，获取与搜索词相关的多个搜索结果，并获取知识库中与搜索词相关的内容项和对应的推荐结果，并将搜索结果、内容项和推荐结果同时在搜索页面中展现给用户。由此，在为用户提供搜索结果的同时，还可帮助用户了解和搜索词的类型相关的综合信息，为用户提供更加符合搜索意图的信息，满足了用户的需求，提升了用户体验。
应当理解，本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如，如果用硬件来实现，和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且，描述的具体特征或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
尽管上面已经示出和描述了本发明的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本发明的限制，本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (11)

  1. 一种搜索推荐方法，其特征在于，包括：
    接收搜索词；
    获取与所述搜索词相关的多个搜索结果，并获取知识库中与所述搜索词相关的至少一个内容项；
    根据所述搜索词和所述至少一个内容项获取至少一个推荐结果；以及
    提供搜索页面，其中，所述搜索页面包括第一展现部分和第二展现部分，所述多个搜索结果显示在所述搜索页面的第一展现部分，所述至少一个推荐结果显示在所述搜索页面的第二展现部分。
  2. 如权利要求1所述的方法，其特征在于，其中，所述第一展现部分位于是搜索页面的左侧，所述第二展现部分位于所述搜索页面的右侧。
  3. 如权利要求1或2所述的方法，其特征在于，其中，所述至少一个内容项为预设的内容项，且所述至少一个内容项与所述搜索词的类型相关。
  4. 如权利要求1-3任一项所述的方法，其特征在于，所述至少一个内容项通过所述搜索词和用户的历史搜索记录和/或历史点击记录获取。
  5. 如权利要求1-4任一项所述的方法，其特征在于，所述推荐结果包括图片和相关说明。
  6. 一种搜索推荐装置，其特征在于，包括：
    接收模块，用于接收搜索词；
    第一获取模块，用于获取与所述搜索词相关的多个搜索结果，并获取知识库中与所述搜索词相关的至少一个内容项；
    第二获取模块，用于根据所述搜索词和所述至少一个内容项获取至少一个推荐结果；以及
    显示模块，用于提供搜索页面，其中，所述搜索页面包括第一展现部分和第二展现部分，所述多个搜索结果显示在所述搜索页面的第一展现部分，所述至少一个推荐结果显示在所述搜索页面的第二展现部分。
  7. 如权利要求6所述的装置，其特征在于，其中，所述第一展现部分位于是搜索页面的左侧，所述第二展现部分位于所述搜索页面的右侧。
  8. 如权利要求6或7所述的装置，其特征在于，其中，所述至少一个内容项为预设的内容项，且所述至少一个内容项与所述搜索词的类型相关。
  9. 如权利要求6-8任一项所述的装置，其特征在于，所述至少一个内容项通过所 述搜索词和用户的历史搜索记录和/或历史点击记录获取。
  10. 如权利要求6-9任一项所述的装置，其特征在于，所述推荐结果包括图片和相关说明。
  11. 一种存储介质，其特征在于，用于存储应用程序，所述应用程序用于在运行时执行如权利要求1-5任一项所述的方法。
PCT/CN2014/089735 2014-03-21 2014-10-28 搜索推荐方法和装置 WO2015139459A1 (zh)

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