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» An Axiomatic Approach to Personalized Ranking Systems
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MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 10 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
132
Voted
CIKM
2006
Springer
15 years 1 months ago
Voting for candidates: adapting data fusion techniques for an expert search task
In an expert search task, the users' need is to identify people who have relevant expertise to a topic of interest. An expert search system predicts and ranks the expertise o...
Craig Macdonald, Iadh Ounis
102
Voted
SIGIR
2011
ACM
14 years 2 months ago
Active learning to maximize accuracy vs. effort in interactive information retrieval
We consider an interactive information retrieval task in which the user is interested in finding several to many relevant documents with minimal effort. Given an initial documen...
Aibo Tian, Matthew Lease
ICDE
2008
IEEE
129views Database» more  ICDE 2008»
16 years 1 months ago
Fuzzy Multi-Dimensional Search in the Wayfinder File System
With the explosion in the amount of semi-structured data users access and store, there is a need for complex search tools to retrieve often very heterogeneous data in a simple and ...
Amélie Marian, Christopher Peery, Thu D. Ng...
108
Voted
AIRS
2009
Springer
15 years 6 months ago
Language Models of Collaborative Filtering
Abstract. Collaborative filtering is a major technique to make personalized recommendations about information items (movies, books, webpages etc) to individual users. In the liter...
Jun Wang