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» Document Retrieval using a Probabilistic Knowledge Model
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CIKM
2008
Springer
13 years 8 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
WWW
2002
ACM
14 years 7 months ago
Probabilistic query expansion using query logs
Query expansion has long been suggested as an effective way to resolve the short query and word mismatching problems. A number of query expansion methods have been proposed in tra...
Hang Cui, Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma
TKDE
2002
121views more  TKDE 2002»
13 years 6 months ago
ACIRD: Intelligent Internet Document Organization and Retrieval
This paper presents an intelligent Internet information system, Automatic Classifier for the Internet Resource Discovery (ACIRD), which uses machine learning techniques to organiz...
Shian-Hua Lin, Meng Chang Chen, Jan-Ming Ho, Yueh-...
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
14 years 7 days ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi
WWW
2006
ACM
14 years 7 months ago
Logical structure based semantic relationship extraction from semi-structured documents
Addressed in this paper is the issue of semantic relationship extraction from semi-structured documents. Many research efforts have been made so far on the semantic information ex...
Kuo Zhang, Gang Wu, Juan-Zi Li