Sciweavers

852 search results - page 6 / 171
» Comparing relevance feedback algorithms for web search
Sort
View
ECAI
2000
Springer
14 years 2 days ago
Similarity-based Approach to Relevance Learning
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...
Rickard Cöster, Lars Asker
CIKM
2008
Springer
13 years 9 months ago
Translation enhancement: a new relevance feedback method for cross-language information retrieval
As an effective technique for improving retrieval effectiveness, relevance feedback (RF) has been widely studied in both monolingual and cross-language information retrieval (CLIR...
Daqing He, Dan Wu
WWW
2006
ACM
14 years 8 months ago
CWS: a comparative web search system
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...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...
AMR
2007
Springer
120views Multimedia» more  AMR 2007»
14 years 1 months ago
Searching for Music Using Natural Language Queries and Relevance Feedback
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 ...
Peter Knees, Gerhard Widmer
DEXAW
2009
IEEE
139views Database» more  DEXAW 2009»
14 years 2 months ago
Improving Web Page Retrieval Using Search Context from Clicked Domain Names
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...
Rongmei Li