查询歧义作为查询分类的子问题在信息检索领域已经得到了很多的关注,现有的研究主要是对查询内容上的歧义进行分类,而忽略了用户查询需求形式上的歧义。该文针对查询需求歧义问题进行了研究,提出了相应的查询需求分类模型。该文利用网页目录构建用户需求形式分类体系及站点列表,在大规模商业搜索引擎日志上进行用户点击覆盖检测,从而得到对查询需求形式的描述。该文的贡献在于提供了一种实际可行的查询需求分类方法,搜索引擎可以根据用户需求的区别调整排序方式,从而改善搜索性能。
Abstract
As a sub-topic of query intent classification, increasing researches have been devoted to the query ambiguity. Most of them are focused on content-based ambiguity of search querys, neglecting the ambiguity of user needs type. In this paper, a query needs type classification model is proposed based on the study of such ambiguity. We build a system of user needs type using web directory and test it on a large commercial search engine log. This article contribue a practical way to classify query needs type, which facilitate the search engine to improve by adjusting ranking algorithm in accordance to the different user needs.
Key wordsquery ambiguity; query intent classification; needs type
关键词
查询歧义 /
查询分类 /
需求形式
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Key words
query ambiguity /
query intent classification /
needs type
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参考文献
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脚注
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基金
国家863高科技计划资助项目(2011AA01A205);自然科学基金资助项目(60903107,61073071)
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