关键词: 探索式搜索,交互系统,有效交互,搜索意图

Abstract: Information search technology based on keyword matching is becoming more and more mature.Search engines are expected to become more intelligent.As a kind of search engine which satisfies the information searching with fuzzy requirements,exploratory search comes up.Some existing methods which recommend information based on semantic relations among keywords can inspire users to find other information related to the current query.However,this kind of random recommendation can only achieve some application scenarios like users’ understanding of unfamiliar areas.For users who have a concrete search intention,how to make computers understand their information requirement based on some prior information is the key issue.This paper proposed a method of information recommendation based on user interactive perception,which includes two basic rules of interaction to make system understand users’ fuzzy requirements quickly.The example shows that it allows quantitative analysis of effective interactions.And,it can reduce interaction steps between users and systems.

Key words: Exploratory search,Interactive system,Effective interaction,Search intention