领域特定搜索中用户对主题兴趣的附加指标--鼠标注视
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search
摘要：
交互式信息检索（IIR）中的模型在很大程度上基于用户的任务，以便根据不同的任务类型和主题提供系统支持。然而，在搜索系统中，从日志数据中自动识别用户兴趣并不是微不足道的。用户输入的搜索查询肯定是这样的来源之一。但是，查询可能很短，或者用户只是浏览。在本文中，我们提出了一种方法的术语鼠标的固定用户鼠标悬停在考虑到估计主题用户兴趣的固定。我们分析了一个特定领域数字图书馆在大约四个月的时间内的22,259次搜索会话。我们将这些鼠标注视与用户输入的搜索词以及用户感兴趣的文档中的标题和关键字进行了比较。在所有分析的会话中，这些术语的出现率为87.12%;在这个会话子集中，每个会话平均有11.46个来自查询和查看文档的术语-鼠标-注视。这些术语的注视时间约为7秒，明显长于其他术语的注视时间约为4.4秒。这意味着，术语鼠标固定提供了主题用户兴趣的指标，并且可以基于固定时间提取它们。
英文摘要：
Models in Interactive Information Retrieval (IIR) are grounded very much on the user's task in order to give system support based on different task types and topics. However, the automatic recognition of user interests from log data in search systems is not trivial. Search queries entered by users a surely one such source. However, queries may be short, or users are only browsing. In this paper, we propose a method of term-mouse-fixations which takes the fixations on terms users are hovering over with the mouse into consideration to estimate topical user interests. We analyzed 22,259 search sessions of a domain-specific digital library over a period of about four months. We compared these mouse fixations to user-entered search terms and to titles and keywords from documents the user showed an interest in. These terms were found in 87.12% of all analyzed sessions; in this subset of sessions, per session on average 11.46 term-mouse-fixations from queries and viewed documents were found. These terms were fixated significantly longer with about 7 seconds than other terms with about 4.4 seconds. This means, term-mouse-fixations provide indicators for topical user interests and it is possible to extract them based on fixation time.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
