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Modeling a Dialogue Strategy for Personalized Movie Recommendations

Wärnestål, Pontus
2005

Konferensbidrag (Refereegranskat)

Abstract:

This paper addresses conversational interaction in user-adaptive recommender systems. By collecting and analyzing a movie recommendation dialogue corpus, two initiative types that need to be accommodated in a conversational recommender dialogue system are identified. The initiative types are modeled in a dialogue strategy suitable for implementation. The approach is exemplified by the MADFILM movie recommender dialogue system.

Citera: Wärnestål, Pontus, Modeling a Dialogue Strategy for Personalized Movie Recommendations, Beyond Personalization workshop Intelligent User Interfaces 2005,2005., s. 77-82, 2005http://grouplens.org/beyond2005/bp2005.pdf