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» Learning to rank for information retrieval
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TKDE
1998
184views more  TKDE 1998»
13 years 7 months ago
Supporting Ranked Boolean Similarity Queries in MARS
To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) 29]...
Michael Ortega, Yong Rui, Kaushik Chakrabarti, Kri...
ECIR
2011
Springer
12 years 11 months ago
Learning Models for Ranking Aggregates
Aggregate ranking tasks are those where documents are not the final ranking outcome, but instead an intermediary component. For instance, in expert search, a ranking of candidate ...
Craig Macdonald, Iadh Ounis
CIDR
2003
178views Algorithms» more  CIDR 2003»
13 years 9 months ago
Automated Ranking of Database Query Results
Ranking and returning the most relevant results of a query is a popular paradigm in Information Retrieval. We discuss challenges and investigate several approaches to enable ranki...
Sanjay Agrawal, Surajit Chaudhuri, Gautam Das, Ari...
WWW
2007
ACM
14 years 8 months ago
Web projections: learning from contextual subgraphs of the web
Graphical relationships among web pages have been leveraged as sources of information in methods for ranking search results. To date, specific graphical properties have been used ...
Jure Leskovec, Susan T. Dumais, Eric Horvitz
SPIRE
2005
Springer
14 years 1 months ago
Retrieval Status Values in Information Retrieval Evaluation
Retrieval systems rank documents according to their retrieval status values (RSV) if these are monotonously increasing with the probability of relevance of documents. In this work,...
Amélie Imafouo, Xavier Tannier