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SIGIR
2010
ACM
13 years 10 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
MMM
2005
Springer
117views Multimedia» more  MMM 2005»
14 years 9 days ago
Subspace Clustering and Label Propagation for Active Feedback in Image Retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). However, since users are usually unwillin...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Wei-Ying Ma, ...
PPSN
1998
Springer
13 years 11 months ago
Genetic Algorithms for the Multiple Container Packing Problem
This paper presents two variants of Genetic Algorithms (GAs) for solving the Multiple Container Packing Problem (MCPP), which is a combinatorial optimization problem comprising sim...
Günther R. Raidl, Gabriele Kodydek
ICWE
2005
Springer
14 years 6 days ago
Automatic Optimization of Web Recommendations Using Feedback and Ontology Graphs
Abstract. Web recommendation systems have become a popular means to improve the usability of web sites. This paper describes the architecture of a rulebased recommendation system a...
Nick Golovin, Erhard Rahm
LATIN
2010
Springer
14 years 1 months ago
Some Observations on Holographic Algorithms
Abstract. We define the notion of diversity for families of finite functions, and express the limitations of a simple class of holographic algorithms in terms of limitations on d...
Leslie G. Valiant