|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'506'133
Articles rated: 2609
27 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Recommender Systems for the Internet of Things: A Survey | | May Altulyan
; Lina Yao
; Xianzhi Wang
; Chaoran Huang
; Salil S Kanhere
; Quan Z Sheng
; | | Date: |
14 Jul 2020 | | Abstract: | Recommendation represents a vital stage in developing and promoting the
benefits of the Internet of Things (IoT). Traditional recommender systems fail
to exploit ever-growing, dynamic, and heterogeneous IoT data. This paper
presents a comprehensive review of the state-of-the-art recommender systems, as
well as related techniques and application in the vibrant field of IoT. We
discuss several limitations of applying recommendation systems to IoT and
propose a reference framework for comparing existing studies to guide future
research and practices. | | Source: | arXiv, 2007.6758 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER