A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systems

Journal of Ambient Intelligence and Humanized Computing, pp. 1-9, 2020.

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Abstract:

In the study of collaborative filtering, scholars and professionals alike have given much attention to user responses of the “one-class” type, feedback like online transactions or “likes”. Such behavior gauges have been integral to many ambient intelligent and context-aware recommendation systems, in which users are furnished with persona...More

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