A sampling approach to Debiasing the offline evaluation of recommender systems
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DOI: 10.1007/s10844-021-00651-y
Abstract: Offline evaluation of recommender systems (RSs) mostly relies on historical data, which is often biased. The bias is a result of many confounders that affect the data collection process. In such biased data, user-item interactions… read more here.
Keywords: evaluation recommender; approach; sampling approach; offline evaluation ... See more keywords