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    RECSYS
    2009
    ACM
    123views Control Systems» more  RECSYS 2009»
    Using a trust network to improve top-N recommendation
    14 years 6 months ago
    Using a trust network to improve top-N recommendation
    Download  www.cs.sfu.ca
    Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
    Mohsen Jamali, Martin Ester
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    RECSYS
    2009
    ACM
    143views Control Systems» more  RECSYS 2009»
    Uncovering functional dependencies in MDD-compiled product catalogues
    14 years 6 months ago
    Uncovering functional dependencies in MDD-compiled product catalogues
    Download  4c.ucc.ie
    A functional dependency is a logical relationship amongst the attributes that define a table of data. Specifically, a functional dependency holds when the values of a subset of ...
    Tarik Hadzic, Barry O'Sullivan
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    RECSYS
    2009
    ACM
    193views Control Systems» more  RECSYS 2009»
    FeedbackTrust: using feedback effects in trust-based recommendation systems
    14 years 6 months ago
    FeedbackTrust: using feedback effects in trust-based recommendation systems
    Download  www.cs.sfu.ca
    With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
    Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
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    RECSYS
    2009
    ACM
    141views Control Systems» more  RECSYS 2009»
    Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
    14 years 6 months ago
    Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
    Download  pages.stern.nyu.edu
    Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
    Akhmed Umyarov, Alexander Tuzhilin
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    RECSYS
    2009
    ACM
    140views Control Systems» more  RECSYS 2009»
    Collaborative prediction and ranking with non-random missing data
    14 years 6 months ago
    Collaborative prediction and ranking with non-random missing data
    Download  www.cs.toronto.edu
    A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ...
    Benjamin M. Marlin, Richard S. Zemel
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    RECSYS
    2009
    ACM
    141views Control Systems» more  RECSYS 2009»
    A partial-order based active cache for recommender systems
    14 years 6 months ago
    A partial-order based active cache for recommender systems
    Download  softbase.uwaterloo.ca
    Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting. Caching has been a useful technique for...
    Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michae...
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    RECSYS
    2009
    ACM
    182views Control Systems» more  RECSYS 2009»
    Regret-based optimal recommendation sets in conversational recommender systems
    14 years 6 months ago
    Regret-based optimal recommendation sets in conversational recommender systems
    Download  www.cs.toronto.edu
    Current conversational recommender systems are unable to offer guarantees on the quality of their recommendations due to a lack of principled user utility models. We develop an ap...
    Paolo Viappiani, Craig Boutilier
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    RECSYS
    2009
    ACM
    119views Control Systems» more  RECSYS 2009»
    Recommender systems for the conference paper assignment problem
    14 years 6 months ago
    Recommender systems for the conference paper assignment problem
    Download  scholar.lib.vt.edu
    Don Conry, Yehuda Koren, Naren Ramakrishnan
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    RECSYS
    2009
    ACM
    214views Control Systems» more  RECSYS 2009»
    Latent dirichlet allocation for tag recommendation
    14 years 6 months ago
    Latent dirichlet allocation for tag recommendation
    Download  www.l3s.de
    Tagging systems have become major infrastructures on the Web. They allow users to create tags that annotate and categorize content and share them with other users, very helpful in...
    Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl
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    RECSYS
    2009
    ACM
    145views Control Systems» more  RECSYS 2009»
    Learning to recommend helpful hotel reviews
    14 years 6 months ago
    Learning to recommend helpful hotel reviews
    Download  irserver.ucd.ie
    User-generated reviews are a common and valuable source of product information, yet little attention has been paid as to how best to present them to end-users. In this paper, we d...
    Michael P. O'Mahony, Barry Smyth
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