On deep neural network for trust aware cross domain recommendations in E-commerce
作者：
Highlights：
• Solving cold start problem in cross domain recommender systems.
• Trust Aware Cross Domain Deep Neural Matrix Factorization model for rating prediction.
• Modeling of linear and non-linear features using deep learning.
• Incorporating implicit trust relation as trust degree via Ant Colony Optimization.
• Evaluating the proposed model on ecommerce dataset that is AliExpress.
摘要
•Solving cold start problem in cross domain recommender systems.•Trust Aware Cross Domain Deep Neural Matrix Factorization model for rating prediction.•Modeling of linear and non-linear features using deep learning.•Incorporating implicit trust relation as trust degree via Ant Colony Optimization.•Evaluating the proposed model on ecommerce dataset that is AliExpress.
论文关键词：Ant colony optimization,Bipartite graph,Collaborative filtering,Cross domain,Ecommerce systems,Generalized matrix factorization,Implicit trust,Multilayer perceptron
论文评审过程：Received 15 September 2020, Revised 6 December 2020, Accepted 16 February 2021, Available online 23 February 2021, Version of Record 16 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114757
