Enhancing retailer marketing with an facial recognition integrated recommender system

Recommender systems, which recommend products, content, or learning resource to users, have become an important issue and received a lot of study. Existing recommender systems utilize different knowledge source to profile users, but in some application fields, such as retailer, obtaining such source can be different. In this paper, we propose a facial recognition integrated recommender system to deal with the profiling problem at a retail store. Evaluation result shows that this system makes recommendation very well.