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    2015
    ACM
    6views Control Systems» more  RECSYS 2015»
    Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems
    9 years 11 months ago
    Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems
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    In this paper, we present work-in-progress on a recommender system based on Collaborative Filtering that exploits location information gathered by indoor positioning systems. This...
    Emanuel Lacic, Dominik Kowald, Matthias Traub, Gra...
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    64
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    2015
    ACM
    16views Control Systems» more  RECSYS 2015»
    From Sensors to Songs: A Learning-Free Novel Music Recommendation System using Contextual Sensor Data
    9 years 11 months ago
    From Sensors to Songs: A Learning-Free Novel Music Recommendation System using Contextual Sensor Data
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    Traditional approaches for music recommender systems face the known challenges of providing new recommendations that users perceive as novel and serendipitous discoveries. Even wi...
    Abhishek Sen, Martha Larson
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    79
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    2015
    ACM
    18views Control Systems» more  RECSYS 2015»
    Network-Based Extension of Multi-Relational Factorization Models
    9 years 11 months ago
    Network-Based Extension of Multi-Relational Factorization Models
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    Complex heterogeneous networks contain many types of relations, both local to a particular entity and distant in the network. Multi-relational factorization schemes that incorpora...
    Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
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    90
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    2015
    ACM
    23views Control Systems» more  RECSYS 2015»
    Explaining Contextual Recommendations: Interaction Design Study and Prototype Implementation
    9 years 11 months ago
    Explaining Contextual Recommendations: Interaction Design Study and Prototype Implementation
    Download  ceur-ws.org
    We describe an architecture for generating context-aware recommendations along with detailed textual explanations to support the user in the decision-making process. CARE (Context...
    Joanna Misztal, Bipin Indurkhya
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    69
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    2015
    ACM
    16views Control Systems» more  RECSYS 2015»
    Probability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data
    9 years 11 months ago
    Probability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data
    Download  www.idi.ntnu.no
    This paper describes some of the key properties of the proposed solution for the RecSys 2015 Challenge from the team Tøyvind thørrud. Three contributions will be highlighted: i)...
    Øyvind H. Myklatun, Thorstein K. Thorrud, H...
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