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A Multi-Period Product Recommender System in Online Food Market based on Recurrent Neural Networks
2020
Sustainability
A recommender system supports customers to find information, products, or services (such as music, books, movies, web sites, and digital contents), so it could help customers to make rapid routine decisions and save their time and money. However, most existing recommender systems do not recommend items that are already purchased by the target customer, so are not suitable for considering customers' repetitive purchase behavior or purchasing order. In this research, we suggest a multi-period
doi:10.3390/su12030969
fatcat:6ycfzoaq6vd5joinvnn5r62vam