ABSTRACT
Collaboration on Web search is common in many domains, such as education and knowledge work; recently, HCI researchers have begun to introduce prototype collaborative search tools to support such scenarios. We analyze data from a collaborative search experiment, and based on these data we propose three techniques that can enhance the value of collaborative search tools using personalization: groupization, smart splitting, and group hit-highlighting.
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Index Terms
- Enhancing collaborative web search with personalization: groupization, smart splitting, and group hit-highlighting
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