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ECIR
2009
Springer
16 years 3 months ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Matthew Lease, James Allan, W. Bruce Croft
WWW
2010
ACM
16 years 1 months ago
SpotRank: a robust voting system for social news websites
In a social news website people share content they found on the web, called news, then vote for those they like the most. Voting for a news is then considered as a recommendation,...
Thomas Largillier, Guillaume Peyronnet, Sylvain Pe...
FSTTCS
2008
Springer
15 years 7 months ago
Dynamic matrix rank with partial lookahead
We consider the problem of maintaining information about the rank of a matrix M under changes to its entries. For an n × n matrix M, we show an amortized upper bound of O(nω−1)...
Telikepalli Kavitha
CORR
2010
Springer
135views Education» more  CORR 2010»
15 years 6 months ago
Constant-Weight Gray Codes for Local Rank Modulation
We consider the local rank-modulation scheme in which a sliding window going over a sequence of real-valued variables induces a sequence of permutations. The local rankmodulation, ...
Moshe Schwartz
183
Voted
CORR
2011
Springer
161views Education» more  CORR 2011»
15 years 1 months ago
Generalized Gray Codes for Local Rank Modulation
—We consider the local rank-modulation scheme in which a sliding window going over a sequence of real-valued variables induces a sequence of permutations. Local rankmodulation is...
Eyal En Gad, Michael Langberg, Moshe Schwartz, Jeh...