TrackRecSys @ ACM SAC 2013

Website

http://mitra.ist.psu.edu/SAC-RS.html

Track Chairs

Prasenjit Mitra (lead), The Pennsylvania State University, U.S.A.
Lior Rokach, Ben Gurion University, Israel
Yehuda Koren, Google Research, Israel

Accepted Full Papers

  • Heterogeneous Data Fusion via Matrix Factorization for Augmenting Item, Group and Friend Recommendations
    Wei Zeng, University of Electronic Science and Technology, China
    Li Chen, Hong Kong Baptist University, Hong Kong
  • Inferring User Utility for Query Revision Recommendation 
    Henry Blanco, Faculty of Computer Science, University of Bolzano, Italy
    Francesco Ricci, Faculty of Computer Science, University of Bolzano, Italy
  • Recommending Insurance Riders 
    Lior Rokach, Ben Gurion University, Israel
    Guy Shani, Ben Gurion University, Israel
    Bracha Shapira, Ben Gurion University, Israel
    Eyal Chapnik, Ben Gurion University, Israel
    Gali Siboni, Ben Gurion University, Israel
  • Constructing and Comparing User Mobility Profiles for Location-based Services
    Xihui Chen, University of Luxembourg, Luxembourg
    Jun Pang, University of Luxembourg, Luxembourg
    Ran Xue, University of Luxembourg, Luxembourg
  • Mining Frequent Itemsets Over Tuple-evolving Data Streams
    Chongsheng Zhang, Henan University, China
    Mirjana Mazuran, Politecnico di Milano, Italy
    Hamid Mousavi, UCLA, USA
    Yuan Hao, University of Science and Technology Beijing, China
    Carlo Zaniolo, UCLA, USA
    Florent Masseglia, INRIA, France

Accepted Poster Papers

  • Learning Hybrid Recommender Models for Heterogeneous Semantic Data
    Andreas Lommatzsch, TU Berlin, Germany
    Benjamin Kille, TU Berlin, Germany
    Sahin Albayrak, DAI Lab, Germany
  • Enhancing Social Matrix Factorization with Privacy 
    Shahab Mokarizadeh, ICT Royal Institute of Technology (KTH), Sweden
    Nima Dokoohaki, ICT Royal Institute of Technology (KTH), Sweden
    Ramona Bunea, ICT Royal Institute of Technology (KTH), Sweden
    Mihhail Matskin, ICT Royal Institute of Technology (KTH), Sweden
  • Users Segmentations for Recommendation
    Lin Chen, QUT, Australia
    Richi Nayak, QUT, Australia
    Sangeetha Kutty, QUT, Australia
    Yue Xu, QUT, Australia
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