Improving Cold Start Stereotype-Based Recommendation Using Deep Learning

Recommendation engines constitute a key component of many online platforms. One of the most challenging problems facing a recommender system is that of cold start, namely the recommendation of items from the catalogue to a new unknown user, or the recommendation of newly injected content to existing...

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Bibliografske podrobnosti

Glavni avtor:	Nourah A. Al-Rossais
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2023-01-01
Serija:	IEEE Access
Teme:	Cold start deep learning fairness of ranked lists neural networks new item problem new user problem
Online dostop:	https://ieeexplore.ieee.org/document/10360833/
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