Information Retrieval Technology
Lecture notes in computer sciencePublished 1 January 2009
Gary Geunbae Lee, Kazuko Kuriyama, Dawei Song, Akiko Aizawa, Masaharu Yoshioka, Tetsuya Sakai
Citations5
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
Regular Papers -- Fully Automatic Text Categorization by Exploiting WordNet, a Latent Dirichlet Framework for Relevance Modeling, and a Boosting Approach for Learning to Rank using SVD with Partially Labeled Data.
Abstract
This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS 2009, held in Sapporo, Japan, in October 2009. The 18 revised full papers and 20 revised poster pap
Keywords
Computer Science
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A document topic model (DTM) which is based on the non-negative matrix factorization (NMF) approach, to explore Japanese spontaneous spoken document retrieval, which shows its strongpoint in dealing with term mismatch and term misrecognition.