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    RECSYS
    2009
    ACM
    150views Control Systems» more  RECSYS 2009»
    FriendSensing: recommending friends using mobile phones
    14 years 6 months ago
    FriendSensing: recommending friends using mobile phones
    Download  web.mit.edu
    We propose FriendSensing, a framework that automatically suggests friends to mobile social-networking users. Using short-range technologies (e.g., Bluetooth) on her mobile phone, ...
    Daniele Quercia, Licia Capra
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    RECSYS
    2009
    ACM
    174views Control Systems» more  RECSYS 2009»
    Rating aggregation in collaborative filtering systems
    14 years 6 months ago
    Rating aggregation in collaborative filtering systems
    Download  infoscience.epfl.ch
    Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
    Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
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    RECSYS
    2009
    ACM
    149views Control Systems» more  RECSYS 2009»
    TagiCoFi: tag informed collaborative filtering
    14 years 6 months ago
    TagiCoFi: tag informed collaborative filtering
    Download  www.cs.ust.hk
    Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
    Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
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    RECSYS
    2009
    ACM
    125views Control Systems» more  RECSYS 2009»
    Harnessing the power of "favorites" lists for recommendation systems
    14 years 6 months ago
    Harnessing the power of "favorites" lists for recommendation systems
    Download  webhome.cs.uvic.ca
    We propose a novel collaborative recommendation approach to take advantage of the information available in user-created lists. Our approach assumes associations among any two item...
    Maryam Khezrzadeh, Alex Thomo, William W. Wadge
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    RECSYS
    2009
    ACM
    107views Control Systems» more  RECSYS 2009»
    Generating transparent, steerable recommendations from textual descriptions of items
    14 years 6 months ago
    Generating transparent, steerable recommendations from textual descriptions of items
    Download  www-etud.iro.umontreal.ca
    We propose a recommendation technique that works by collecting text descriptions of items and using this textual aura to compute the similarity between items using techniques draw...
    Stephen J. Green, Paul Lamere, Jeffrey Alexander, ...
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    RECSYS
    2009
    ACM
    148views Control Systems» more  RECSYS 2009»
    Assessment of conversation co-mentions as a resource for software module recommendation
    14 years 6 months ago
    Assessment of conversation co-mentions as a resource for software module recommendation
    Download  mrzhou.cms.si.umich.edu
    Conversation double pivots recommend target items related to a source item, based on co-mentions of source and target items in online forums. We deployed several variants on the d...
    Daniel Xiaodan Zhou, Paul Resnick
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    RECSYS
    2009
    ACM
    173views Control Systems» more  RECSYS 2009»
    Ordering innovators and laggards for product categorization and recommendation
    14 years 6 months ago
    Ordering innovators and laggards for product categorization and recommendation
    Download  www.nec-labs.com
    Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
    Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
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    RECSYS
    2009
    ACM
    159views Control Systems» more  RECSYS 2009»
    Pairwise preference regression for cold-start recommendation
    14 years 6 months ago
    Pairwise preference regression for cold-start recommendation
    Download  www.gatsby.ucl.ac.uk
    Seung-Taek Park, Wei Chu
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    RECSYS
    2009
    ACM
    105views Control Systems» more  RECSYS 2009»
    Preference elicitation with subjective features
    14 years 6 months ago
    Preference elicitation with subjective features
    Download  www.cs.toronto.edu
    Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
    Craig Boutilier, Kevin Regan, Paolo Viappiani
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    RECSYS
    2009
    ACM
    134views Control Systems» more  RECSYS 2009»
    Rate it again: increasing recommendation accuracy by user re-rating
    14 years 6 months ago
    Rate it again: increasing recommendation accuracy by user re-rating
    Download  www.nuriaoliver.com
    A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
    Xavier Amatriain, Josep M. Pujol, Nava Tintarev, N...
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