User Model in a Box: Cross-System User Model Transfer for Resolving Cold Start Problems

  • Chirayu WongchokprasittiEmail author
  • Jaakko Peltonen
  • Tuukka Ruotsalo
  • Payel Bandyopadhyay
  • Giulio Jacucci
  • Peter Brusilovsky
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9146)


Recommender systems face difficulty in cold-start scenarios where a new user has provided only few ratings. Improving cold-start performance is of great interest. At the same time, the growing number of adaptive systems makes it ever more likely that a new user in one system has already been a user in another system in related domains. To what extent can a user model built by one adaptive system help address a cold start problem in another system? We compare methods of cross-system user model transfer across two large real-life systems: we transfer user models built for information seeking of scientific articles in the SciNet exploratory search system, operating over tens of millions of articles, to perform cold-start recommendation of scientific talks in the CoMeT talk management system, operating over hundreds of talks. Our user study focuses on transfer of novel explicit open user models curated by the user during information seeking. Results show strong improvement in cold-start talk recommendation by transferring open user models, and also reveal why explicit open models work better in cross-domain context than traditional hidden implicit models.


Cross-system user modeling Recommender systems 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Chirayu Wongchokprasitti
    • 1
    Email author
  • Jaakko Peltonen
    • 2
    • 3
  • Tuukka Ruotsalo
    • 2
  • Payel Bandyopadhyay
    • 4
  • Giulio Jacucci
    • 4
  • Peter Brusilovsky
    • 1
  1. 1.School of Information SciencesUniversity of PittsburghPittsburghUSA
  2. 2.Helsinki Institute for Information Technology HIITAalto UniversityEspooFinland
  3. 3.School of Information SciencesUniversity of TampereTampereFinland
  4. 4.Helsinki Institute for Information Technology HIIT, Department of Computer ScienceUniversity of HelsinkiHelsinkiFinland

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