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SIGIR
2005
ACM
15 years 9 months ago
Automated evaluation of search engine performance via implicit user feedback
Measuring the information retrieval effectiveness of Web search engines can be expensive if human relevance judgments are required to evaluate search results. Using implicit user ...
Himanshu Sharma, Bernard J. Jansen
120
Voted
ICPR
2000
IEEE
16 years 4 months ago
Automatic Video Scene Extraction by Shot Grouping
For more efficient organizing, browsing, and retrieving digital video content, it is important to extract video structure information at both scene and shot levels. This paper pre...
Tong Lin, HongJiang Zhang
ICML
2009
IEEE
16 years 4 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
CIKM
2006
Springer
15 years 7 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
143
Voted
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
16 years 1 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha