Interactive searching and recommending method and device

Abstract

The invention provides an interactive searching and recommending method and device. The interactive searching and recommending method includes receiving search words; acquiring a plurality of search results related to the search words; analyzing the search results to acquire at least one recommending item, and respectively acquiring recommending content corresponding to each recommending item; providing a search page and displaying the several search results and the recommending items on the search page; receiving trigger operations on the recommending items and displaying the recommending contents corresponding to the triggered recommending items on the search page according to the trigger operations. By the interactive searching and recommending method and device, extension information related to the search results can be recommended for users in real time, relevancy of the search results and accuracy and abundance of the recommending information are improved, search operations of the users are reduced, and time cost of the users for acquiring information is reduced. Meanwhile, space of the display page can be sufficiently utilized, intelligent interactive search is realized to some extent, and interestingness is increased.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an interactive search and recommendation method and device. Background technique [0002] With the rapid development of the Internet and the continuous increase of webpage information, users' requirements for the search function of search engines are also constantly increasing. In order to meet the user's search needs, when the user enters search information, the search engine is not limited to only providing search results related to the search information, but also recommends to the user content corresponding to other search information related to the current search information. For example, when a user searches for "Jay Chou", the search engine will recommend "others also search: Teresa Teng, Mayday, Jolin Tsai" and so on. [0003] Currently, the recommended content is mostly content related to the current search information. However, in the actual search process, users...

AI Technical Summary

Problems solved by technology

However, in the actual search process, users may be interested in some of the content in the current search results and hope to learn more about the relevant information of these contents. Therefore, the current recommendation method is difficult to meet the user's search needs.

Based on the current recommendation method, users need to go through more search operations, such as clicking on the search results to view, re-entering search terms to search, etc. The process of user acquisition of knowledge, user search experience is poor

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