Corpus ID: 817299

The Decision-Theoretic Interactive Video Advisor

@inproceedings{Nguyen1999TheDI,
  title={The Decision-Theoretic Interactive Video Advisor},
  author={Hien Nguyen and P. Haddawy},
  booktitle={UAI},
  year={1999}
}
The need to help people choose among large numbers of items and to filter through large amounts of information has led to a flood of research in construction of personal recommendation agents. One of the central issues in constructing such agents is the representation and elicitation of user preferences or interests. This topic has long been studied in Decision Theory, but surprisingly little work in the area of recommender systems has made use of formal decision-theoretic techniques. This… Expand
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21 Citations
Highly Influential Citations
1
Background Citations
5
Methods Citations
7

21 Citations

Citation Type

Citation Type

Multi-Criteria Recommender Systems
Hybrid User Model for Capturing a User’s Information Seeking Intent
Similarity of personal preferences: Theoretical foundations and empirical analysis
A collaborative and semantic-based approach for recommender systems
Modeling user preferences via theory refinement
Similarity Measures on Preference Structures, Part II: Utility Functions
Analysis and Classification of Multi-Criteria Recommender Systems
Reasoning with Partial Preference Models Phd Dissertation Proposal
An Effective Threshold-Based Neighbor Selection in Collaborative Filtering
An Effective Recommendation Algorithm for Improving Prediction Quality
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References

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Recommender Systems: A GroupLens Perspective
Recommendation as Classification: Using Social and Content-Based Information in Recommendation
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