Application of Recommender System in Intelligent Community under Big Data Scenario
Cong Liu, Zhenxiang Chen, Dong Wei Cao, Mingyue Shang · 2019
Nowadays, intelligent community is one of indispensable parts in social construction. The construction of intelligent community promotes the construction and development of intelligent city, which can improve residents' living quality. Eating is an important part inhuman lives. In this paper, we develop a food recommendation system. This system is based on big data, Association Rule-based Recommendation and Collaborative Filtering Recommendation. By analyzing a large number of historical user behaviors, this system recommends restaurants, supermarkets, recipes and meal delivery service.