Approach: In the user-driven system-mediated CIR, users' searching behaviors would be monitored and analyzed; it would discover significant behavioral differences between each pair of users; finally it suggests roles to users in order to leverage the best of users' skills and preferences. Take the pair of roles "Gatherer versus Surveyor" as an example. In a collaborative searching process, gatherer would be more likely to seek highly relevant documents, so that he or she would perform queries with much overlap, and spend more time reading webpage contents; whereas, surveyor would tend to explore new things on websites, he or she would try different queries, spend less them on each webpage and accordingly, the query success is low. By analyzing such features, i.e. query overlap, dwell time and query success, we can obtain insights into user's role difference.
Experiments: They ask participants (students in Rutgers University) to collaboratively write a report on an exploratory topic. User study #1 has the topic of "Gulf oil spill" and user study #2 focuses on the topic of "Global warming". In the searching session, supportive chat system and search tools enable bookmarking webpages and saving snippets. Specifically, three types of features are considered (shown in Table 1).
|Table 1. Features used to describe a searching session.|
|Figure 1. Significant difference in users' search behaviors.|
|Table 2. Comparison of RB-CIR with four baselines.|