论子话题粒度对搜索结果多样化算法的影响

摘要

随着生活节奏的加快,用户习惯将简短的查询提交给搜索引擎,并希望搜索引擎能体贴地将自己需要的结果返回在靠前的结果中.面对大量有歧义的或者意义广泛的查询,搜索引擎努力地识别用户意图,并试图用有限的结果取悦更多的用户.为了解决这个问题,搜索结果多样化技术应运而生,其任务是是对搜索结果进行重排序,在有限的搜索结果中满足尽可能多的用户意图.该文重点关注多样化算法中子话题的粒度问题.利用传统方法生成了不同粒度的子话题,并比较了使用不同粒度的子话题对搜索结果多样化算法的影响.实验结果表明,经典多样化算法使用细粒度的子话题时表现更好.%The search result diversification re-ranks search results to cover as many user intents as possible in the top ranks .Most intent-aware diversification algorithms use subtopics to diversify results .Focuses on the granularity of subtopics ,this paper investigates the performance of diversification algorithms by using subtopics with different granularities .Experimental results show that state-of-the-art diversification algorithms work better by using fine-grained subtopics .