Introducing fuzzy like in social networks and its effects on advertising profits and human behavior

作者：

Highlights：

• Fuzzy like concept in social networks and its implicit and explicit implementation is described.

• Fuzzy likes from users' mouse interactions can be obtained using implicit Fuzzy like algorithm (IFLA).

• Fuzzy like bar has been proposed to be implemented in social networks using Explicit Fuzzy like algorithm (EFLA).

• CTR of advertisement in social network improves after using fuzzy like to show relevant advertisement.

• Fuzzy like is more popular with men than women and people older than 25.

摘要

•Fuzzy like concept in social networks and its implicit and explicit implementation is described.•Fuzzy likes from users' mouse interactions can be obtained using implicit Fuzzy like algorithm (IFLA).•Fuzzy like bar has been proposed to be implemented in social networks using Explicit Fuzzy like algorithm (EFLA).•CTR of advertisement in social network improves after using fuzzy like to show relevant advertisement.•Fuzzy like is more popular with men than women and people older than 25.

论文关键词：Fuzzy like,Social network sites,Social media,Like level,Advertisement recommendation system,Human-computer interaction

论文评审过程：Received 15 September 2016, Revised 21 July 2017, Accepted 30 August 2017, Available online 31 August 2017, Version of Record 16 October 2017.

论文官网地址：https://doi.org/10.1016/j.chb.2017.08.046