论文标题
探索基于任务的查询扩展在TREC-COVID轨道上
Exploring task-based query expansion at the TREC-COVID track
论文作者
论文摘要
我们探索如何根据搜索任务生成有效的查询。我们的方法有三个主要步骤：1）根据研究目标确定搜索任务，2）根据这些任务手动对搜索查询进行分类，3）比较三种方法，根据任务上下文提高搜索排名。最有前途的方法是基于使用任务术语扩展用户的查询项，该任务术语在BM25基线上略有改进了NDCG@20分数。如果我们可以确定更具体的搜索任务，则可能会获得进一步的改进。
We explore how to generate effective queries based on search tasks. Our approach has three main steps: 1) identify search tasks based on research goals, 2) manually classify search queries according to those tasks, and 3) compare three methods to improve search rankings based on the task context. The most promising approach is based on expanding the user's query terms using task terms, which slightly improved the NDCG@20 scores over a BM25 baseline. Further improvements might be gained if we can identify more specific search tasks.
