Attention-based deep neural network for Internet platform group users’ dynamic identification and recommendation
作者：
Highlights：
• It can identify different user groups who are interested in the product.
• Combines deep neural network and attention mechanism in the modeling process.
• The attention mechanism is used to mine weights of users on candidate products.
• Explores the different weight allocation of Internet products by different users.
• According to the similarity of users’ interest, find members of the user group.
摘要
•It can identify different user groups who are interested in the product.•Combines deep neural network and attention mechanism in the modeling process.•The attention mechanism is used to mine weights of users on candidate products.•Explores the different weight allocation of Internet products by different users.•According to the similarity of users’ interest, find members of the user group.
论文关键词：Recommendation system,Deep neural network,Attention mechanism,Group users
论文评审过程：Received 3 March 2020, Revised 30 May 2020, Accepted 5 July 2020, Available online 10 July 2020, Version of Record 21 July 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113728
