Modeling a Dialogue Strategy for Personalized Movie Recommendations
نویسندگان
چکیده
This paper addresses conversational interaction in useradaptive 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.
منابع مشابه
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