Using Multiple External Collections for Query Expansion
Using Multiple External Collections for Query Expansion
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发表时间：
2011
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通讯作者：
Dongqing Zhu;Ben Carterette
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作者：
Dongqing Zhu;Ben Carterette
首先，我们研究了使用来自PubMed查询日志的查询会话来改进相关性模型估计的可能性。在典型的搜索场景中，用户可能在实际找到满意的搜索结果之前提交多个查询。这些密切相关的查询形成代表单个信息需求的单个查询会话。通过查找与医学跟踪主题相关的查询会话，我们可以将反映与医学跟踪主题或多或少相关的真实信息需求的有用查询项合并到我们的相关性模型中。
First, we investigated the possibility of using query sessions from PubMed query logs for improving the estimation of a relevance model. In a typical search scenario, a user may submit multiple queries before she actually finds satisfactory search results. These closely related queries form a single query session which represents a single information need. By finding relevant query sessions with regard to a Medical Track topic we can incorporate into our relevance model useful query terms which reflect real information needs that are more or less related to the Medical Track topic.