91 search results - page 10 / 19 » Conditional Models for Non-smooth Ranking Loss Functions |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
WSDM
2010
ACM
14 years 5 months ago
2010
ACM
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
PODS
2008
ACM
14 years 7 months ago
2008
ACM
In the rank join problem, we are given a set of relations and a scoring function, and the goal is to return the join results with the top K scores. It is often the case in practic...
AIRS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Collaborative filtering is a major technique to make personalized recommendations about information items (movies, books, webpages etc) to individual users. In the liter...