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» Ranking Retrieval Systems with Partial Relevance Judgements
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MM
2006
ACM
181views Multimedia» more  MM 2006»
14 years 2 months ago
Towards content-based relevance ranking for video search
Most existing web video search engines index videos by file names, URLs, and surrounding texts. These types of video roughly describe the whole video in an abstract level without ...
Wei Lai, Xian-Sheng Hua, Wei-Ying Ma
SIGIR
2003
ACM
14 years 1 months ago
On the effectiveness of evaluating retrieval systems in the absence of relevance judgments
Soboroff, Nicholas and Cahan recently proposed a method for evaluating the performance of retrieval systems without relevance judgments. They demonstrated that the system evaluat...
Javed A. Aslam, Robert Savell
VLDB
2002
ACM
138views Database» more  VLDB 2002»
13 years 8 months ago
Adaptable Similarity Search using Non-Relevant Information
Many modern database applications require content-based similarity search capability in numeric attribute space. Further, users' notion of similarity varies between search se...
T. V. Ashwin, Rahul Gupta, Sugata Ghosal
WWW
2004
ACM
14 years 9 months ago
Providing ranked relevant results for web database queries
Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. We propose to ...
Ullas Nambiar, Subbarao Kambhampati
CIKM
2010
Springer
13 years 7 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang