Latent factor recommendation models for integrating explicit and implicit preferences in a multi-step decision-making process

作者：

Highlights：

• The latent factor model is interpreted in a multi-step decision-making process.

• Two models are proposed for integrating explicit and implicit ratings.

• The two proposed models target two different types of users.

摘要

•The latent factor model is interpreted in a multi-step decision-making process.•Two models are proposed for integrating explicit and implicit ratings.•The two proposed models target two different types of users.

论文关键词：Recommender systems,Latent factor model,Matrix factorization

论文评审过程：Received 4 September 2020, Revised 11 January 2021, Accepted 21 February 2021, Available online 25 February 2021, Version of Record 15 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114772