Classification method and device for user network behaviors and search method and device for user network behaviors

A classification method and behavioral technology, applied in the Internet field, can solve problems such as low accuracy, neglect, and ineffectiveness

Active Publication Date: 2012-10-31
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the evaluation of user behavior data by search engines is equally consistent, which is to evaluate the user’s satisfaction with the search results according to whether the user clicks or does not click on the search result page. The existing technology ignores user behavior data and search results. The difference between the actual requirements of the request (query), that is to say, when using user behavior data, it is considered that they are consistent with the requirements of the corresponding query, and the results returned by the search engine are consistent, but this assumption is not valid. Because of different types of requirements, there should be different types of returned results. The user's click behavior on the search result page varies greatly with the actual requirements of the query.
In the field of analysis of user behavior data, the existing technology has technical problems such as the low accuracy rate of services or applications such as the model for user behavior feedback and the method for evaluating search satisfaction.

Method used

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  • Classification method and device for user network behaviors and search method and device for user network behaviors
  • Classification method and device for user network behaviors and search method and device for user network behaviors
  • Classification method and device for user network behaviors and search method and device for user network behaviors

Examples

Experimental program
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Embodiment I

[0151] If the user behavior type is determined to be a navigation class, step 403 is specifically to determine the uniform resource locator (URL) of the first place in the search result ranking, and step 404 is specifically to use the URL to return to the user for site navigation; specifically, When a user enters a query in a search engine, this embodiment determines that the user behavior type matched by the query is a navigation category by querying the user behavior type dictionary, and then determines that the search engine returns the URL that ranks first in the search results that match the query , and return the determined URL to the user; further, a link between the user and the URL can be established, and the page of the URL can be directly returned to the user for site navigation, eliminating the need for the user to browse and click on the search result page Behavior, improve the user's search experience and save network bandwidth and traffic usage.

Embodiment II

[0154] If the user behavior type is determined to be navigation, then step 403 is specifically to perform visual feature emphasis processing on the search results at the top M positions in the ranking, or list more than one sub-link, where M is greater than or equal to 1 A natural number, the step 404 forms a search result page with the adapted search result and returns it to the user. Wherein, the visual feature emphasis processing may include but not limited to: larger display space on the search result page, different colors to distinguish it from other search results, and adding recommended or indicated icons to distinguish it from other search results.

[0155] Specifically, because it is determined that the query input by the user is a navigation type, it can be understood that the user hopes that the search result page returned by the search engine can quickly and accurately list the URL of the target site or page. The search results are processed with visual feature em...

Embodiment III

[0157] If the user behavior type is determined to be the knowledge category, the step 403 is specifically to perform deduplication processing on the search results, and the step 404 returns the adapted search results to form a search result page to the user. Among them, de-duplication processing is to filter the search results for repeated webpages, so as to display more diversified search results matching the query, and better meet the user's demand for knowledge.

[0158] It is worth noting that, because it is determined that the query entered by the user is a knowledge category, it can be understood that the user hopes to obtain URLs of various related knowledge sites or pages in the search result pages returned by the search engine, rather than in the search results Lots of duplicate or very similar pages, such as reposts or duplicates of quotes. Therefore, in this embodiment, the search results are deduplicated to form a search result page and returned to the user, so th...

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PUM

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Abstract

The invention discloses classification method and device for users' network behaviors and search method and device for users' network behaviors. The classification method includes: data of user behaviors is acquired, the data of the user behaviors include queries input in an search engine by users and information of clicks performed on corresponding search engine results pages by the users; information of the clicks corresponding to the same query are counted in terms of user behavior features, and a user behavior feature vector set consisting of user behavior feature vectors corresponding to the queries is obtained; the user behavior feature vector set is clustered to determine a user behavior pattern feature vector consisting of same patterns of the user behavior feature vectors and a user behavior pattern corresponding to the user behavior pattern feature vector; correspondence between the user behavior patterns and the queries is determined and is stored as a user behavior pattern dictionary. Post-search clicks performed by the users are classified, and accordingly accuracy in services or applications based on user behavior data is improved effectively.

Description

【Technical field】 [0001] The present invention relates to the field of Internet technologies, in particular to a classification method and device for user network behaviors and a corresponding search method and device. 【Background technique】 [0002] The rapid development of the Internet provides people with a new carrier for information storage, processing, transmission and use, and network information has quickly become one of the main channels for people to obtain knowledge and information. While such a scale of information resources incorporates almost all the knowledge possessed by human beings, it also brings the problem of how to fully develop and utilize resources for users of resources. The search engine came into being precisely under this demand, and it assists network users to find information on the Internet. Specifically, search engines use specific computer programs to collect information from the Internet according to certain strategies, and after organizing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 侯俊琦
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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