Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts

24 Apr 2020Ya-Hui AnQiang DongQuan YuanChao Wang

Nowadays, recommender systems (RSes) are becoming increasingly important to individual users and business marketing, especially in the online e-commerce scenarios. However, while the majority of recommendation algorithms proposed in the literature have focused their efforts on improving prediction accuracy, other important aspects of recommendation quality, such as diversity of recommendations, have been more or less overlooked... (read more)

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