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Found 2 papers, 1 papers with code
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations
In this paper, we present the results of a user study in which we monitored the way users interacted with recommended items, as well as their self-proclaimed propensities towards relevance, novelty and diversity objectives.
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce
18 metrics covering rating-based, ranking-based, novelty and diversity evaluation.
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