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202
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WWW
2011
ACM
15 years 1 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
314
Voted
CP
2009
Springer
16 years 7 months ago
Coalition Structure Generation Utilizing Compact Characteristic Function Representations
This paper presents a new way of formalizing the Coalition Structure Generation problem (CSG), so that we can apply constraint optimization techniques to it. Forming effective coal...
Naoki Ohta, Vincent Conitzer, Ryo Ichimura, Yuko S...
141
Voted
STOC
2009
ACM
102views Algorithms» more  STOC 2009»
16 years 7 months ago
Multiple intents re-ranking
One of the most fundamental problems in web search is how to re-rank result web pages based on user logs. Most traditional models for re-ranking assume each query has a single int...
Yossi Azar, Iftah Gamzu, Xiaoxin Yin
192
Voted
STOC
2004
ACM
121views Algorithms» more  STOC 2004»
16 years 7 months ago
Lower bounds for dynamic connectivity
We prove an (lg n) cell-probe lower bound on maintaining connectivity in dynamic graphs, as well as a more general trade-off between updates and queries. Our bound holds even if t...
Mihai Patrascu, Erik D. Demaine
PODS
2007
ACM
159views Database» more  PODS 2007»
16 years 7 months ago
Generalized hypertree decompositions: np-hardness and tractable variants
The generalized hypertree width GHW(H) of a hypergraph H is a measure of its cyclicity. Classes of conjunctive queries or constraint satisfaction problems whose associated hypergr...
Georg Gottlob, Thomas Schwentick, Zoltán Mi...