Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios
Taiyuan University of Science and Technology · Hangzhou Dianzi University · +4 more institutions
Abstract
Recommendation technology is an important part of the Internet of Things (IoT) services, which can provide better service for users and help users get information anytime, anywhere. However, the traditional recommendation algorithms cannot meet user's fast and accurate recommended requirements in the IoT environment. In the face of a large-volume data, the method of finding neighborhood by comparing whole user information will result in a low recommendation efficiency. In addition, the traditional recommendation system ignores the inherent connection between user's preference and time. In reality, the interest of the user varies over time. Recommendation system should provide users accurate and fast with the…
Citation impact
- FWCI
- 104.98
- Percentile
- 100%
- References
- 67
Authors
7Topics & keywords
- Computer science
- MovieLens
- Collaborative filtering
- Recommender system
- Cluster analysis
- Data mining
- Information retrieval
- Machine learning
- Industry, innovation and infrastructure