957 search results - page 9 / 192 » A Probability Model for Combining Ranks |
143
Voted
ICML
2009
IEEE
16 years 4 months 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...
131
Voted
RECSYS
2010
ACM
15 years 1 months ago
2010
ACM
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
99
Voted
IPM
2008
15 years 3 months ago
2008
ct 8 In this paper, a new robust relevance model is proposed that can be applied to both pseudo and true relevance feedback 9 in the language-modeling framework for document retrie...
191
Voted
SIAMJO
2011
14 years 6 months ago
2011
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-ran...
123
Voted
ECML
2007
Springer
15 years 10 months ago
2007
Springer
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...