Exploring Data Splitting Strategies for the Evaluation of Recommendation Models

RecSys, pp. 681-686, 2020.

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Abstract:

Effective methodologies for evaluating recommender systems are critical, so that such systems can be compared in a sound manner. A commonly overlooked aspect of recommender system evaluation is the selection of the data splitting strategy. In this paper, we both show that there is no standard splitting strategy and that the selection of...More

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