Providing effective recommendations in discussion groups using a new hybrid recommender system based on implicit ratings and semantic similarity
作者：
Highlights：
• A new recommender system is represented which has three parts.
• Content-based, collaborative, and hybrid filtering are three sections of the proposed system.
• This work is developed on discussion groups with tagging feature.
• Semantic relevancies of tags are extracted using WordNet database.
• The tags are organized in a hierarchical structure based on their semantic relevance.
摘要
•A new recommender system is represented which has three parts.•Content-based, collaborative, and hybrid filtering are three sections of the proposed system.•This work is developed on discussion groups with tagging feature.•Semantic relevancies of tags are extracted using WordNet database.•The tags are organized in a hierarchical structure based on their semantic relevance.
论文关键词：Recommender systems,Discussion groups,Collaborative filtering,Content-based filtering,Hybrid filtering
论文评审过程：Received 6 December 2018, Revised 20 December 2019, Accepted 14 January 2020, Available online 21 January 2020, Version of Record 31 January 2020.
论文官网地址：https://doi.org/10.1016/j.elerap.2020.100938
