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    FLAIRS
    2006
    96views Artificial Intelligence» more  FLAIRS 2006»
    Combining Visualization and Feedback for Eyewear Recommendation
    13 years 6 months ago
    Combining Visualization and Feedback for Eyewear Recommendation
    Download  www.aaai.org
    The importance of effective customer assistance technologies is imperative in today's online marketplace where users are oftentimes overwhelmed by the product choices availab...
    John Doody, Edwin Costello, Lorraine McGinty, Barr...
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    FLAIRS
    2004
    124views Artificial Intelligence» more  FLAIRS 2004»
    In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance
    13 years 6 months ago
    In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance
    Download  www.aaai.org
    Initial successes in the area of recommender systems have led to considerable early optimism. However as a research community, we are still in the early days of our understanding ...
    Derry O'Sullivan, Barry Smyth, David C. Wilson
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    CSREAEEE
    2006
    175views Business» more  CSREAEEE 2006»
    A Time-Based Recommender System Using Implicit Feedback
    13 years 6 months ago
    A Time-Based Recommender System Using Implicit Feedback
    Download  ww1.ucmss.com
    - Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
    Tong-Queue Lee, Young Park
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    AAAI
    2006
    145views Intelligent Agents» more  AAAI 2006»
    Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
    13 years 6 months ago
    Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
    Download  maya.cs.depaul.edu
    The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
    Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
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    STAIRS
    2008
    169views Education» more  STAIRS 2008»
    Probabilistic Association Rules for Item-Based Recommender Systems
    13 years 6 months ago
    Probabilistic Association Rules for Item-Based Recommender Systems
    Download  hal.inria.fr
    Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
    Sylvain Castagnos, Armelle Brun, Anne Boyer
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    JURIX
    2007
    108views Information Technology» more  JURIX 2007»
    Explaining the Relevance of Court Decisions to Laymen
    13 years 6 months ago
    Explaining the Relevance of Court Decisions to Laymen
    Download  cli.vu
    In the context of intelligent disclosure of case law, we report on our findings with respect to the presentation of relevant court decisions back to the laymen users. For this pres...
    Gwen R. Wildeboer, Michel C. A. Klein, Elisabeth M...
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    ICWSM
    2008
    218views Internet Technology» more  ICWSM 2008»
    A Social Network Based Approach to Personalized Recommendation of Participatory Media Content
    13 years 6 months ago
    A Social Network Based Approach to Personalized Recommendation of Participatory Media Content
    Download  www.cse.iitd.ernet.in
    Given the rapid growth of participatory media content such as blogs, there is a need to design personalized recommender systems to recommend only useful content to users. We belie...
    Aaditeshwar Seth, Jie Zhang
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    SE
    2010
    142views Software Engineering» more  SE 2010»
    weHelp: A Reference Architecture for Social Recommender Systems
    13 years 6 months ago
    weHelp: A Reference Architecture for Social Recommender Systems
    Download  www.psl.cs.columbia.edu
    Abstract: Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively litt...
    Swapneel Sheth, Nipun Arora, Christian Murphy, Gai...
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    DMIN
    2007
    183views Data Mining» more  DMIN 2007»
    Crawling Attacks Against Web-based Recommender Systems
    13 years 6 months ago
    Crawling Attacks Against Web-based Recommender Systems
    Download  maya.cs.depaul.edu
    —User profiles derived from Web navigation data are used in important e-commerce applications such as Web personalization, recommender systems, and Web analytics. In the open en...
    Runa Bhaumik, Robin D. Burke, Bamshad Mobasher
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    IIR
    2010
    201views Information Technology» more  IIR 2010»
    An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
    13 years 6 months ago
    An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
    Download  sunsite.informatik.rwth-aachen.de
    Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
    Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
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