Jaime Teevan|Susan Dumais|Eric Horvitz
Potential for personalization
Microsoft Research (United Kingdom)|Microsoft Research (United Kingdom)|Microsoft Research (United Kingdom)
current web search tools good job retrieving documents satisfy common intentions associated query good job discerning different individuals unique search goals explore variation different people consider relevant query mining three data sources 1 explicit relevance judgments 2 clicks search results behaviorbased implicit measure relevance 3 similarity desktop content search results contentbased implicit measure relevance find peoples explicit judgments queries differ greatly result large gap well search engines could perform tailor results individual well currently perform returning results designed satisfy everyone call gap potential personalization two implicit indicators studied provide complementary value approximating variation result relevance among people discuss several uses findings including personalized search system takes advantage implicit measures ranking personally relevant results highly improving clickthrough rates