Domain expert topic familiarity and search behavior.

SIGIR '11: The 34th International ACM SIGIR conference on research and development in Information Retrieval Beijing China July, 2011(2011)

引用 8|浏览10
暂无评分
摘要
Users of information retrieval systems employ a variety of strategies when searching for information. One factor that can directly influence how searchers go about their information finding task is the level of familiarity with a search topic. We investigate how the search behavior of domain experts changes based on their previous level of familiarity with a search topic, reporting on a user study of biomedical experts searching for a range of domain-specific material. The results of our study show that topic familiarity can influence the number of queries that are employed to complete a task, the types of queries that are entered, and the overall number of query terms. Our findings suggest that biomedical search systems should enable searching through a variety of querying modes, to support the different search strategies that users were found to employ depending on their familiarity with the information that they are searching for.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要