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» Ranking Retrieval Systems with Partial Relevance Judgements
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CIKM
2007
Springer
15 years 7 months ago
Expertise drift and query expansion in expert search
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...
Craig Macdonald, Iadh Ounis
ICIP
2009
IEEE
16 years 2 months ago
Facial Marks: Soft Biometric For Face Recognition
We propose to utilize micro features, namely facial marks (e.g., freckles, moles, and scars) to improve face recognition and retrieval performance. Facial marks can be used in thr...
WWW
2008
ACM
16 years 1 months ago
Pagerank for product image search
In this paper, we cast the image-ranking problem into the task of identifying "authority" nodes on an inferred visual similarity graph and propose an algorithm to analyz...
Yushi Jing, Shumeet Baluja
IWPC
2009
IEEE
15 years 8 months ago
Who can help me with this change request?
An approach to recommend a ranked list of developers to assist in performing software changes given a textual change request is presented. The approach employs a two-fold strategy...
Huzefa H. Kagdi, Denys Poshyvanyk
SIGIR
2008
ACM
15 years 1 months ago
Evaluation measures for preference judgments
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
Ben Carterette, Paul N. Bennett