Novelty Learning via Collaborative Proximity Filtering

21 Oct 2016Arun KumarPaul Schrater

The vast majority of recommender systems model preferences as static or slowly changing due to observable user experience. However, spontaneous changes in user preferences are ubiquitous in many domains like media consumption and key factors that drive changes in preferences are not directly observable... (read more)

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