ACM RecSys'09 Workshop on

Recommender Systems


the Social Web

New York, October 25, 2009

Workshop program

  • 9:00 - 9:30 Opening and introductions

  • 9:30 - 10:30 Session: RS for tagging and bookmarking systems
    • Improving Folkrank With Item-Based Collaborative Filtering
      J. Gemmell, Th. Schimoler, M. Ramezani, L. Christiansen, B. Mobasher
    • A Tag Recommender System Exploiting User and Community Behavior
      C. Musto, F. Narducci, M. De Gemmis, P. Lops, G. Semeraro
    • Spreading Activation Approach to Tag-aware Recommenders: Modeling Similarity on Multidimensional Networks
      A.Troussov, D. Parra, P. Brusilovsky
    • Collaborative and Content-based Filtering for Item Recommendation on Social Bookmarking Websites
      T. Bogers, A. van den Bosch
  • 10:30 - 11:00 Coffee break

  • 11:00 - 11:45 Session: Trust and Relationships in RS
    • Improving Recommendation Accuracy by Clustering Social Networks with Trust
      T. DuBois, J. Golbeck, J. Kleint, A. Srinivasan
    • Social Trust as a solution to address sparsity-inherent problems of Recommender systems
      G. Pitsilis, S.J. Knapskog
    • Augmenting Collaborative Recommender by Fusing Explicit Social Relationships
      Q. Yuan, Sh. Zhao, L. Chen, Y. Liu, Sh. Ding, X. Zhang, W. Zheng

  • 11:45 - 12:15 Session: RS and the Web 2.0
    • The Copied Item Injection Attack
      N. Oostendorp, R. Sami
    • Ontology Guided Dynamic Preference Elicitation
      G. Chamiel, M. Pagnucco
  • 12:15 - 13:45 Lunch

  • 13:45 - 14:15 Short papers and demos (3 min presentations).
    • Does Trust Influence Information similarity?
      D.H. Lee, P. Brusilovsky
    • Personalised Tag Recommendation
      N. Landia, S. Singh Anand
    • A hybrid PLSA approach for warmer cold start in folksonomy recommendation
      A. Said, R. Wetzker, W. Umbrath, L. Hennig
    • Using Wikipedia Content to Derive Ontology for Modeling end Recommanding Web pages across Systems
      P.-C. Chang, L.M. Quiroga
    • A Holistic Approach to Enhance the Doctor-Patient Relationship for Diabetes Using Social Networking, Personalized Alerts, Reminders, and Recommendation
      W. WL Yip, L. M. Quiroga
    • Cobot: Real Time Multi User Conversational Search and Recommendations (DEMO)
      S. Sahay, A. Venkatesh, A. Ram
  • 14:15 - 15:30 Breakout session

  • 15:30 - 16:00 Coffe break

  • 16:00 - 16:30 Results presentation from each breakout group

  • 16:30 Closing