IntegrateCF: Integrating explicit and implicit feedback based on deep learning collaborative filtering algorithm

作者：

Highlights：

• We proposed a novel recommendation system based on collaborative filtering.

• It is a combination of explicit (Intra & Inter) and implicit feedback interaction couplings.

• It solves the cold start and sparsity problems of collaborative filtering methods.

摘要

•We proposed a novel recommendation system based on collaborative filtering.•It is a combination of explicit (Intra & Inter) and implicit feedback interaction couplings.•It solves the cold start and sparsity problems of collaborative filtering methods.

论文关键词：Recommender System,Collaborative filtering,Explicit feedback,Implicit feedback,Interaction learning,Non-IID,Coupling learning

论文评审过程：Received 3 November 2021, Revised 15 June 2022, Accepted 19 June 2022, Available online 27 June 2022, Version of Record 5 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117933