852 search results - page 6 / 171 » Comparing relevance feedback algorithms for web search |
129
Voted
ECAI
2000
Springer
15 years 8 months ago
2000
Springer
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
122
Voted
CIKM
2008
Springer
15 years 5 months ago
2008
Springer
As an effective technique for improving retrieval effectiveness, relevance feedback (RF) has been widely studied in both monolingual and cross-language information retrieval (CLIR...
124
Voted
WWW
2006
ACM
16 years 4 months ago
2006
ACM
In this paper, we define and study a novel search problem: Comparative Web Search (CWS). The task of CWS is to seek relevant and comparative information from the Web to help users...
130
Voted
AMR
2007
Springer
15 years 9 months ago
2007
Springer
We extend an approach to search inside large-scale music collections by enabling the user to give feedback on the retrieved music pieces. In the original approach, a search engine ...
143
Voted
DEXAW
2009
IEEE
15 years 10 months ago
2009
IEEE
Abstract—Search context is a crucial factor that helps to understand a user’s information need in ad-hoc Web page retrieval. A query log of a search engine contains rich inform...