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    IPM
    2007
    118views more  IPM 2007»
    Cluster-based patent retrieval
    13 years 8 months ago
    Cluster-based patent retrieval
    Download  dblab.mgt.ncu.edu.tw
    Through the recent NTCIR workshops, patent retrieval casts many challenging issues to information retrieval community. Unlike newspaper articles, patent documents are very long an...
    In-Su Kang, Seung-Hoon Na, Jungi Kim, Jong-Hyeok L...
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    IR
    2007
    129views Natural Language Processing» more  IR 2007»
    Learning-based summarisation of XML documents
    13 years 8 months ago
    Learning-based summarisation of XML documents
    Download  eprints.pascal-network.org
    Documents formatted in eXtensible Markup Language (XML) are available in collections of various document types. In this paper, we present an approach for the summarisation of XML d...
    Massih-Reza Amini, Anastasios Tombros, Nicolas Usu...
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    TCSV
    2008
    150views more  TCSV 2008»
    Robust Video Fingerprinting for Content-Based Video Identification
    13 years 8 months ago
    Robust Video Fingerprinting for Content-Based Video Identification
    Download  fft1.kaist.ac.kr
    Video fingerprints are feature vectors that uniquely characterize one video clip from another. The goal of video fingerprinting is to identify a given video query in a database (DB...
    Sunil Lee, Chang Dong Yoo
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    ISCI
    2007
    74views more  ISCI 2007»
    One-and-only item recommendation with fuzzy logic techniques
    13 years 8 months ago
    One-and-only item recommendation with fuzzy logic techniques
    Download  www.cwi.ugent.be
    act 11 Recommender systems anticipate users’ needs by suggesting items that are likely to interest them. Most existing systems 12 employ collaborative filtering (CF) techniques,...
    Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhan...
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    TKDE
    2008
    115views more  TKDE 2008»
    Time-Aware Web Users' Clustering
    13 years 8 months ago
    Time-Aware Web Users' Clustering
    Download  caclab.csd.auth.gr
    Web users clustering is a crucial task for mining information related to users needs and preferences. Up to now, popular clustering approaches build clusters based on usage pattern...
    Sophia G. Petridou, Vassiliki A. Koutsonikola, Ath...
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