Recommendation of scholarly venues based on dynamic user interests

作者：

Highlights：

• We described an approach to recommend scholarly venues for researchers.

• It is based on a researcher’s current readings and interests.

• We developed a new weighting strategy for rating venues based on temporal analysis.

• Our experiments showed improvements in accuracy and ranking quality.

摘要

•We described an approach to recommend scholarly venues for researchers.•It is based on a researcher’s current readings and interests.•We developed a new weighting strategy for rating venues based on temporal analysis.•Our experiments showed improvements in accuracy and ranking quality.

论文关键词：Recommender system,User modeling,Collaborative filtering,Scholarly communication,Social media,Altmetrics

论文评审过程：Received 23 November 2016, Revised 14 March 2017, Accepted 14 March 2017, Available online 8 April 2017, Version of Record 8 April 2017.

论文官网地址：https://doi.org/10.1016/j.joi.2017.03.006