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ECIR
2007
Springer
13 years 8 months ago
Incorporating Diversity and Density in Active Learning for Relevance Feedback
Abstract. Relevance feedback, which uses the terms in relevant documents to enrich the user’s initial query, is an effective method for improving retrieval performance. An assoc...
Zuobing Xu, Ram Akella, Yi Zhang 0001
CIKM
2009
Springer
14 years 1 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
AIEDU
2004
71views more  AIEDU 2004»
13 years 6 months ago
Using Intelligent Feedback to Improve Sourcing and Integration in Students' Essays
Learning and reasoning from multiple documents requires students to employ the skills of sourcing (i.e., attending to and citing sources) and information integration (i.e., making ...
Mary Anne Britt, Peter M. Wiemer-Hastings, Aaron A...
SAC
2004
ACM
14 years 4 days ago
An improved hybrid genetic algorithm for the generalized assignment problem
We consider the generalized assignment problem in which the objective is to find a minimum cost assignment of a set of jobs to a set of agents subject to resource constraints. Th...
Harald Feltl, Günther R. Raidl
APPROX
2007
Springer
115views Algorithms» more  APPROX 2007»
14 years 27 days ago
Improved Approximation Algorithms for the Spanning Star Forest Problem
A star graph is a tree of diameter at most two. A star forest is a graph that consists of node-disjoint star graphs. In the spanning star forest problem, given an unweighted graph ...
Ning Chen, Roee Engelberg, C. Thach Nguyen, Prasad...