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» Incorporating Variance in Impact-Based Search
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CP
2011
Springer
12 years 6 months ago
Incorporating Variance in Impact-Based Search
We present a simple modification to the idea of impact-based search which has proven highly effective for several applications. Impacts measure the average reduction in search spa...
Serdar Kadioglu, Eoin O'Mahony, Philippe Refalo, M...
UAI
2008
13 years 7 months ago
Improving Gradient Estimation by Incorporating Sensor Data
An efficient policy search algorithm should estimate the local gradient of the objective function, with respect to the policy parameters, from as few trials as possible. Whereas m...
Gregory Lawrence, Stuart J. Russell
SIGIR
2008
ACM
13 years 6 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
CIKM
2010
Springer
13 years 4 months ago
Ranking under temporal constraints
This paper introduces the notion of temporally constrained ranked retrieval, which, given a query and a time constraint, produces the best possible ranked list within the specifi...
Lidan Wang, Donald Metzler, Jimmy Lin
WWW
2008
ACM
14 years 7 months ago
Characterizing typical and atypical user sessions in clickstreams
Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and...
Narayanan Sadagopan, Jie Li