A hybrid recommendation system for Q&A documents

作者：

Highlights：

• A hybrid recommendation system for Q&A documents is proposed.

• Current knowledge needs are identified by sequential clustering.

• Q&A documents in the list are reranked for rapid coverage of all contents.

• Three recommendation lists are combined for a comprehensive recommendation.

• The experimental results show that the approach is feasible and performs well.

摘要

•A hybrid recommendation system for Q&A documents is proposed.•Current knowledge needs are identified by sequential clustering.•Q&A documents in the list are reranked for rapid coverage of all contents.•Three recommendation lists are combined for a comprehensive recommendation.•The experimental results show that the approach is feasible and performs well.

论文关键词：Q&A documents,Recommendation systems,Knowledge management

论文评审过程：Received 6 August 2019, Revised 10 October 2019, Accepted 12 November 2019, Available online 13 November 2019, Version of Record 21 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113088