DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries 2001

• Susan T. Dumais:
  When do you want to go ``where everybody knows your name'' (and mailing address, and preferences, and last 50 web pages visited)?: A framework for personalization (Keynote Speech).
  
• Clodagh Moriarty, Nicholas Kushmerick, Barry Smyth:
  Personalised Intelligent Tutoring for Digital Libraries.
  
• Lillian N. Cassel, Ursula Wolz:
  Client Side Personalization.
  
• Miles Efron, Gary Geisler:
  Using Dimensionality Reduction to Improve Similarity Judgements for Recommendation.
  
• Matthew Chalmers:
  Paths and Contextually Specific Recommendation.
  
• Saranya Maneeroj, Hideaki Kanai, Katsuya Hakozaki:
  Combining Dynamic Agents and Collaborative Filtering without Sparsity Rating Problem for Better Recommendation Quality.
  
• Aidan Finn, Nicholas Kushmerick, Barry Smyth:
  Fact or Fiction: Content Classification for Digital Libraries.
  
• Djoerd Hiemstra, Stephen E. Robertson:
  Relevance Feedback for Best Match Term Weighting Algorithms in Information Retrieval.
  
• Dmitry O. Briukhov, Leonid A. Kalinichenko, Nikolay A. Skvortsov:
  Personalization through Specification Refinement and Composition.
  
• W. Bruce Croft, Stephen Cronen-Townsend, Victor Lavrenko:
  Relevance Feedback and Personalization: A Language Modeling Perspective.
  
• David L. Hicks, Klaus Tochtermann:
  Towards Support for Personalization in Distributed Digital Library Settings.
  
• Mariella Di Giacomo, Dan Mahoney, Johan Bollen, Andrés Monroy-Hernández, Cesar M. Ruiz Meraz:
  MyLibrary, A Personalization Service for Digital Library Environments.
  
• Marcos André Gonçalves, Ali A. Zafer, Naren Ramakrishnan, Edward A. Fox:
  Modeling and Building Personalized Digital Libraries with PIPE and 5SL.
  
• Rashmi R. Sinha, Kirsten Swearingen:
  Comparing Recommendations Made by Online Systems and Friends.
  
• James C. French, David B. Hauver:
  Flycasting: On the Fly Broadcasting.
  
• Robert Villa, Matthew Chalmers:
  A Framework for Implicitly Tracking Data.
  
• Barry Smyth:
  Adventures in Personalization (Keynote Speech).
  
• Clifford A. Lynch:
  Personalization and Recommender Systems in the Larger Context: New Directions and Research Questions (Keynote Speech).
  

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