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NAACL
2001
14 years 11 months ago
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
Renaud Lecoeuche
WWW
2009
ACM
15 years 10 months ago
Towards context-aware search by learning a very large variable length hidden markov model from search logs
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, ...
CSCLP
2005
Springer
15 years 3 months ago
A CSP Search Algorithm with Reduced Branching Factor
This paper presents an attempt to construct a ”practical” CSP algorithm that assigns a variable with 2 values at every step. Such a strategy has been successfully used for cons...
Igor Razgon, Amnon Meisels
86
Voted
CORR
2006
Springer
148views Education» more  CORR 2006»
14 years 9 months ago
Budget Optimization in Search-Based Advertising Auctions
Internet search companies sell advertisement slots based on users' search queries via an auction. While there has been previous work on the auction process and its game-theor...
Jon Feldman, S. Muthukrishnan, Martin Pál, ...
CONSTRAINTS
2007
97views more  CONSTRAINTS 2007»
14 years 9 months ago
Models for Global Constraint Applications
In this paper we give an overview of some industrial applications built using global constraints. We look at three systems from different application domains and show the core mo...
Helmut Simonis