Folksonomy-based fuzzy user profiling for improved recommendations

作者：

Highlights：

• Fuzzy logic and linguistic quantifier-driven determination of representative tags for genre is proposed.

• A novel approach to deriving the extent of genre presence in movies by leveraging on folksonomy data is presented.

• The reclusive method is revised to automatically derive user preferred content based features.

• Different ways of utilizing the fuzzy user and item profiles are explored for performing recommendations.

摘要

•Fuzzy logic and linguistic quantifier-driven determination of representative tags for genre is proposed.•A novel approach to deriving the extent of genre presence in movies by leveraging on folksonomy data is presented.•The reclusive method is revised to automatically derive user preferred content based features.•Different ways of utilizing the fuzzy user and item profiles are explored for performing recommendations.

论文关键词：Recommender system,Content based recommender systems,Reclusive methods,Fuzzy sets,Folksonomy,Tags

论文评审过程：Available online 7 October 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.09.041