2020
DOI: 10.1109/access.2020.2984543
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Co-Displayed Items Aware List Recommendation

Abstract: Existing recommender systems usually generate personalized recommendation lists based on the estimation of the preference scores over user-item pairs, while ignoring the impacts of the entire display list that plays a central part in the decision making process of a user. This leaves us an opportunity to generate better recommendation results by considering the impacts of all offered choices. However, such an extension cannot be handled efficiently by traditional top-k list recommendation methods, due to the e… Show more

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