Heuristic recommendation technique in Internet of Things featuring swarm intelligence approach

作者：

Highlights：

• Swarm based recommendation system in Internet of Things.

• Word Embedding concepts drive bio-inspired agents’ movements and decisions.

• Real-valued vectors map smart objects thus enabling agents’ organization.

• Decentralization, adaptivity and self-organization features improve recommender tasks.

摘要

•Swarm based recommendation system in Internet of Things.•Word Embedding concepts drive bio-inspired agents’ movements and decisions.•Real-valued vectors map smart objects thus enabling agents’ organization.•Decentralization, adaptivity and self-organization features improve recommender tasks.

论文关键词：Multiagent systems,Swarm Intelligence,Recommender system,Word Embedding,Internet of Things

论文评审过程：Received 29 January 2021, Revised 26 May 2021, Accepted 10 September 2021, Available online 21 September 2021, Version of Record 4 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115904