223 search results - page 20 / 45 » Comparing two blind relevance feedback techniques |
ICMCS
2005
IEEE
14 years 3 months ago
2005
IEEE
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
CIVR
2005
Springer
14 years 3 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
SIGIR
2008
ACM
13 years 9 months ago
2008
ACM
Search personalization has been pursued in many ways, in order to provide better result rankings and better overall search experience to individual users [5]. However, blindly app...
WSDM
2012
ACM
12 years 5 months ago
2012
ACM
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a particul...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...