Virtual reviewers for collaborative exploration of movie reviews

ABSTRACT

We propose a collaborative exploration system that helps users to explore recommendations from various viewpoints. Given ratings and reviews on movies from reviewers, the system provides “virtual reviewers” that represent particular viewpoints. Each virtual reviewer navigates the user by recommending and characterizing both movies and reviewers according to its viewpoint. We have developed a browsing method with virtual reviewers and visual interfaces.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL

General Terms:
Design, Experimentation, Theory

Keywords:
agents, browsing, collaborative filtering, information visualization, navigation, recommender systems