Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search
This addresses the challenge of short or browsing queries in interactive information retrieval for domain-specific search systems, though it is incremental.
The paper tackled the problem of automatically recognizing user interests in domain-specific search by proposing term-mouse-fixations as an indicator, finding that these fixations occurred in 87.12% of sessions with an average of 11.46 per session and were fixated significantly longer (about 7 seconds vs. 4.4 seconds).
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.