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Conversational Collaborative Recommendation – An Experimental Analysis
2005
Artificial Intelligence Review
Traditionally, collaborative recommender systems have been based on a single-shot model of recommendation where a single set of recommendations is generated based on a user's (past) stored preferences. However, content-based recommender system research has begun to look towards more conversational models of recommendation, where the user is actively engaged in directing search at recommendation time. Such interactions can range from high-level dialogues with the user, possibly in natural
doi:10.1007/s10462-005-9004-8
fatcat:lh5gan5x3jadbkpamaohvihxya