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SIGIR
2004
ACM
14 years 23 days ago
Evaluating content-based filters for image and video retrieval
This paper investigates the level of metadata accuracy required for image filters to be valuable to users. Access to large digital image and video collections is hampered by ambig...
Michael G. Christel, Neema Moraveji, Chang Huang
CIKM
2001
Springer
13 years 12 months ago
Exploiting A Controlled Vocabulary to Improve Collection Selection and Retrieval Effectiveness
Vocabulary incompatibilities arise when the terms used to index a document collection are largely unknown, or at least not well-known to the users who eventually search the collec...
James C. French, Allison L. Powell, Fredric C. Gey...
SIGIR
2002
ACM
13 years 7 months ago
The web retrieval task and its evaluation in the third NTCIR workshop
This paper gives an overview of the evaluation method used for the Web Retrieval Task in the Third NTCIR Workshop, which is currently in progress. In the Web Retrieval Task, we tr...
Koji Eguchi, Keizo Oyama, Emi Ishida, Kazuko Kuriy...
CIKM
2005
Springer
13 years 9 months ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari
SIGIR
2006
ACM
14 years 1 months ago
Minimal test collections for retrieval evaluation
Accurate estimation of information retrieval evaluation metrics such as average precision require large sets of relevance judgments. Building sets large enough for evaluation of r...
Ben Carterette, James Allan, Ramesh K. Sitaraman