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

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...

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.

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