Doctoral Symposium

The Recommender Systems 2013 Doctoral Symposium provides an opportunity for doctoral students to explore and develop their research interests under the guidance of a panel of distinguished research faculty. We invite students who feel they would benefit from this kind of feedback on their dissertation work to apply for this unique opportunity to share their work with students in a similar situation as well as senior researchers in the field. Several doctoral students and selected faculty and industry mentors are invited to participate.

The symposium has the following objectives:
  1. Provide a supportive setting for feedback on students’ current research and guidance on future research directions.
  2. Offer each student comments and fresh perspectives on their work from faculty and students outside their own institution.
  3. Promote the development of a supportive community of scholars and a spirit of collaborative research.
  4. Contribute to the conference goals through interaction with other researchers and conference events.


  • 09:30 – 9:45 Introduction (Chair: Yi Zhang)
  • 09:45 – 10:30 Invited Talk: RecSys in Academia: Perspective and Q&A (Joseph Konstan)
  • 10:30 – 10:45 Break
  • 10:45 – 12:15 Students presentations and discussions: group 1
    • Anytime Algorithms for Top-N Recommenders (David Ben-Shimon)
    • Integrating Trust and Similarity to Ameliorate the Data Sparsity and Cold Start for Recommender Systems (Guibing Guo)
    • Agent-based Computational Investing Recommender System (Mona Taghavi)
  • 12:15 – 12:30 Individual meeting with mentors (Group 1)
  • 12:15 – 14:00 Lunch
  • 14:00 – 14:30 Invited Talk: How to do research in industry (Hang Li)
  • 14:30 – 16:00 Students presentations and discussions: group 2
    • Dynamic Generation of Personalized Hybrid Recommender Systems (Simon Dooms)
    • Accuracy and Robustness Impacts of Power User Attacks on Collaborative Recommender Systems (Carlos E. Seminario)
    • Beyond Rating Prediction Accuracy: On New Perspectives in Recommender Systems (Panagiotis Adamopoulos)
  • 16:00 – 16:15 Break
  • 16:15 – 16:30 Individual meeting with mentors (Group 2)
  • 16:30 – 17:00 Poster session
  • 17:00 – 17:20 Concludes

DC Program Committee Members (Mentors)

  • Christian Posse (Google, USA)
  • Fabio Aiolli (University of Padova, Italy)
  • Irwin King (City University of Hong Kong, Hong Kong)
  • Paul Resnick (University of Michigan, USA)
  • Yi Zhang (University of California Santa Cruz, USA)
  • Zhengdong Lu (Huawei, Hong Kong)


Oct 12, 2013 (09:30 – 17:20)


LT-11, Academic 1

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