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    IDEAS
    2007
    IEEE
    144views Database» more  IDEAS 2007»
    An Extensible and Personalized Approach to QoS-enabled Service Discovery
    14 years 2 months ago
    An Extensible and Personalized Approach to QoS-enabled Service Discovery
    Download  lbdwww.epfl.ch
    We present an extensible and customizable framework for the autonomous discovery of Semantic Web services based on their QoS properties. Using semantic technologies, users can spe...
    Le-Hung Vu, Fabio Porto, Karl Aberer, Manfred Haus...
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    EWCBR
    2008
    Springer
    259views Automated Reasoning» more  EWCBR 2008»
    Realising a CBR-based approach for Computer Cooking Contest with e: IAS
    13 years 9 months ago
    Realising a CBR-based approach for Computer Cooking Contest with e: IAS
    Download  www.iis.uni-hildesheim.de
    Abstract. This paper describes a web-based CBR application competing at the first Computer Cooking Contest at the ECCBR 2008. It describes the technical realisation of our system, ...
    Alexandre Hanft, Norman Ihle, Kerstin Bach, R&eacu...
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    FLAIRS
    2006
    153views Artificial Intelligence» more  FLAIRS 2006»
    Improving Case-Based Recommendations Using Implicit Feedback
    13 years 9 months ago
    Improving Case-Based Recommendations Using Implicit Feedback
    Download  www.aaai.org
    A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
    Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...
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    IJCAI
    2003
    119views Artificial Intelligence» more  IJCAI 2003»
    Incremental Utility Elicitation with the Minimax Regret Decision Criterion
    13 years 9 months ago
    Incremental Utility Elicitation with the Minimax Regret Decision Criterion
    Download  www.cs.toronto.edu
    Utility elicitation is a critical function of any automated decision aid, allowing decisions to be tailored to the preferences of a specific user. However, the size and complexit...
    Tianhan Wang, Craig Boutilier
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    UAI
    2003
    144views Artificial Intelligence» more  UAI 2003»
    Active Collaborative Filtering
    13 years 9 months ago
    Active Collaborative Filtering
    Download  www.cs.toronto.edu
    Collaborative filtering (CF) allows the preferences of multiple users to be pooled to make recommendations regarding unseen products. We consider in this paper the problem of onl...
    Craig Boutilier, Richard S. Zemel, Benjamin M. Mar...
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