A stochastic approach to group recommendations in social media systems
作者：
Highlights：
• We model a folksonomy-based graph which contains implicit links and explicit links.
• We recommend items to a community of interest based on link-structure analysis.
• We identify influence of users and items within a group based on random walks.
• The recommendation quality for a group depends much on the number of members.
摘要
•We model a folksonomy-based graph which contains implicit links and explicit links.•We recommend items to a community of interest based on link-structure analysis.•We identify influence of users and items within a group based on random walks.•The recommendation quality for a group depends much on the number of members.
论文关键词：Group recommender systems,Communities of interest,Random walk with restarts
论文评审过程：Received 6 December 2011, Revised 4 June 2014, Accepted 7 October 2014, Available online 18 October 2014.
论文官网地址：https://doi.org/10.1016/j.is.2014.10.002
