面向探索式搜索过程的查询推荐

Query Recommendation for Exploratory Search Process

查询推荐是一种提高用户搜索效率的重要工具,但是传统的推荐方法对于探索式搜索的推荐效果不好.针对此问题提出了一种新的面向探索式搜索过程的查询推荐方法,即根据用户搜索的行为模式,通过试探性查询重构和确认性查询重构两个过程,对探索式搜索过程进行建模,并根据影响探索式搜索过程的三种因素提出了一种排序算法,将确认性子查询中的查询推荐给用户.通过与传统推荐方法的对比实验验证了本模型及其推荐方法的有效性.

Query recommendation is an important tool for improving searching efficiency. But traditional recommendation method cannot provide good recommendations for exploratory search. A novel model based on search behaviors for the above problem was proposed, which successfully build the exploratory search process by tentative query refinement and deterministic query refinement. Then a query recommendation algorithm based on the three factors affecting exploratory search process was proposed. Finally the results of comparative experiments showed that this model and algorithm achieved a good effect.