A novel tourism recommender system in the context of social commerce
作者：
Highlights：
• Proposing a tourism recommender system in the context of social commerce.
• Applying of the network analysis metrics and methods beside social networks data.
• Employing the customer's reviews as a data source.
• Ensuring a more efficient approach based on the f-measure.
• Proposing an efficient synergy of trust, similarity, reputation, and social relationships.
摘要
•Proposing a tourism recommender system in the context of social commerce.•Applying of the network analysis metrics and methods beside social networks data.•Employing the customer's reviews as a data source.•Ensuring a more efficient approach based on the f-measure.•Proposing an efficient synergy of trust, similarity, reputation, and social relationships.
论文关键词：Social commerce,Tourism recommender system,Trust,Similarity,Community,Reputation,Social relationships
论文评审过程：Received 29 September 2018, Revised 6 February 2020, Accepted 6 February 2020, Available online 8 February 2020, Version of Record 19 February 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113301
