499 search results - page 22 / 100 » Search Engines that Learn from Implicit Feedback |
115
click to vote
DBISP2P
2005
Springer
15 years 4 months ago
2005
Springer
Intelligent Web search engines are extremely popular now. Currently, only commercial centralized search engines like Google can process terabytes of Web data. Alternative search en...
NIPS
2004
15 years 15 days ago
2004
High retrieval precision in content-based image retrieval can be attained by adopting relevance feedback mechanisms. These mechanisms require that the user judges the quality of t...
88
Voted
IJCAI
2001
15 years 15 days ago
2001
This paper presents a new method for building domain-specific web search engines. Previous methods eliminate irrelevant documents from the pages accessed using heuristics based on...
MIR
2006
ACM
15 years 5 months ago
2006
ACM
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
WWW
2009
ACM
15 years 11 months ago
2009
ACM
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...