115 search results - page 6 / 23 » The Quantum Probability Ranking Principle for Information Re... |
112
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NIPS
2008
15 years 1 months ago
2008
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
119
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ECIR
2003
Springer
15 years 1 months ago
2003
Springer
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
102
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ICML
2009
IEEE
16 years 16 days ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
KDD
2005
ACM
16 years 4 days ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
ECIR
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...