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Home / Proceedings / AAAI Workshop Papers 1998 /

Recommender Systems: Papers from the 1998 AAAI Workshop

Contents

  • Creating Models of Real-World Communities with ReferralWeb

    Henry Kautz, Bart Selman

    58

    PDF
  • Clustering Methods for Collaborative Filtering

    Lyle H. Ungar, Dean P. Foster

    112

    PDF
  • Why Recommendation is Special?

    Pei Wang

    109

    PDF
  • Personal Context-aware Guidance System for Exhibition Tours

    Yasuyuki Sumi, Tameyuki Etani, Kaoru Kobayashi, Sidney Fels, Nicolas Simonet, and Kenji Mase

    105

    PDF
  • Mining the Web’s Hyperlinks for Recommendations

    Ellen Spertus, Lynn Andrea Stein

    100

    PDF
  • Personalized Driving Route Recommendations

    Seth Rogers, Pat Langley

    95

    PDF
  • Recommender Systems for Problem Solving Environments

    Naren Ramakrishnan, Elias N. Houstis, and John R. Rice

    90

    PDF
  • InfoScout: An Active Recommender Agent

    M. V. Nagendra Prasad, Theodore Anagnost

    88

    PDF
  • Decentralized Social Filtering based on Trust

    Tomas Olsson

    83

    PDF
  • Implicit Feedback for Recommender Systems

    Douglas W. Oard, Jinmook Kim

    80

    PDF
  • The Decision-Theoretic Video Advisor

    Hien Nguyen, Peter Haddawy

    76

    PDF
  • Use of Voting Schemes to Tradeoff User Preferences

    Manisha Mundhe, Sandip Sen

    74

    PDF
  • Book Recommending Using Text Categorization with Extracted Information

    Raymond J. Mooney, Paul N. Bennett, and Loriene Roy

    69

    PDF
  • OWL: A Recommender System for Organization-Wide Learning

    Frank Linton, Andy Charron, and Debbie Joy

    64

    PDF
  • Recommder Systems: A GroupLens Perspective

    Joseph A. Konstan, John Riedl, Al Borchers, and Jonathan L. Herlocker

    60

    PDF
  • Call for Participation

    Henry Kautz

    5

    PDF
  • A Framework Supporting Collaborative Filtering for Internet Information

    Sukumal Imudom, B. Clifford Neuman

    56

    PDF
  • Collaborative Filtering for Web Marketing Efforts

    Dan R. Greening

    53

    PDF
  • Putting Recommender Systems to Work for Organizations

    Natalie S. Glance

    51

    PDF
  • Constraint-Based Strategies for Matchmakers

    Constraint-Based Strategies for Matchmakers

    47

    PDF
  • Interactive Interface Agents as Recommender Systems

    Michael Fleming, Robin Cohen

    42

    PDF
  • Content + Collaboration = Recommendation

    Joachin Delgado, Naohiro Ishii

    37

    PDF
  • Recommender Systems for TV

    Duco Das, Herman ter Horst

    35

    PDF
  • Context-Based Profile Personalization

    Chandra Dharap

    33

    PDF
  • A Data Warehousing Approach for Building Recommender Systems

    Z. Chen

    29

    PDF
  • Learning Collaborative Information Filters

    Daniel Billsus, Michael J. Pazzani

    24

    PDF
  • Recommending Web Resources to Science Educators

    Marie A. Bienkowski

    19

    PDF
  • Recommending TV Programs: How Far Can We Get at Zero User Effort?

    Patrick Baudisch

    16

    PDF
  • Recommendation as Classification: Using Social and Content-Based Information in Recommendation

    Chumki Basu, Haym Hirsh, and William Cohen

    11

    PDF
  • An Interface for Learning Multi-topic User Profiles from Implicit Feedback

    Marko Balabanovic

    6

    PDF

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