Mining social network users opinions’ to aid buyers’ shopping decisions

作者：

Highlights：

• Bridging the gap between buyers and sellers on the online marketplace.

• Emulation of the Vygotsky’s theory of zone of proximal development (ZPD).

• Mining social network users opinions’ to aid buyers’ shopping decisions.

摘要

•Bridging the gap between buyers and sellers on the online marketplace.•Emulation of the Vygotsky’s theory of zone of proximal development (ZPD).•Mining social network users opinions’ to aid buyers’ shopping decisions.

论文关键词：Social sentiment analysis,Buyers’ behaviors,Heuristics,Bayes’ learning,Collaborative decision support systems

论文评审过程：Available online 18 December 2014, Version of Record 29 July 2015.

论文官网地址：https://doi.org/10.1016/j.chb.2014.11.081