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    AAAI
    2004
    120views Intelligent Agents» more  AAAI 2004»
    Making Better Recommendations with Online Profiling Agents
    13 years 10 months ago
    Making Better Recommendations with Online Profiling Agents
    Download  www.comp.nus.edu.sg
    In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
    Danny Oh, Chew Lim Tan
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    GIS
    1999
    ACM
    178views Automated Reasoning» more  GIS 1999»
    Integrating Geographic Information Systems, Spatial Digital Libraries and Information Spaces for Conducting Humanitarian Assista
    14 years 1 months ago
    Integrating Geographic Information Systems, Spatial Digital Libraries and Information Spaces for Conducting Humanitarian Assista
    Download  www.isi.edu
    The GeoWorlds system integrates geographic information systems, spatial digital libraries and other information analysis, retrieval and collaboration tools. It supports multiple a...
    Vished Kumar, Alejandro Bugacov, Murilo Coutinho, ...
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    IJSNET
    2007
    155views more  IJSNET 2007»
    Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
    13 years 9 months ago
    Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
    Download  www.cedric-richard.fr
    : A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
    Hichem Snoussi, Cédric Richard
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    CIKM
    2008
    Springer
    172views Information Technology» more  CIKM 2008»
    SoRec: social recommendation using probabilistic matrix factorization
    13 years 11 months ago
    SoRec: social recommendation using probabilistic matrix factorization
    Download  www.cse.cuhk.edu.hk
    Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
    Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
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    I3E
    2008
    234views Business» more  I3E 2008»
    Development of Recommender Systems Using User Preference Tendencies: An Algorithm for Diversifying Recommendation
    13 years 10 months ago
    Development of Recommender Systems Using User Preference Tendencies: An Algorithm for Diversifying Recommendation
    Download  hitoshi.isslab.org
    Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
    Yuki Ogawa, Hirohiko Suwa, Hitoshi Yamamoto, Isamu...
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