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{"title": "Monetary Discount Strategies for Real-Time Promotion Campaign.", "fields": ["profit", "kernel density estimation", "software deployment", "thompson sampling", "revenue"], "abstract": "The effectiveness of monetary promotions has been well reported in the literature to affect shopping decisions for products in real life experience. Nowadays, e-commerce retailers are facing more fierce competition on price promotion in that consumers can easily use a search engine to find another merchant selling an identical product for comparing price.\n\nTo achieve more effectiveness on real-time promotion in pursuit of better profits, we propose two discount-giving strategies: an algorithm based on Kernel density estimation, and the other algorithm based on Thompson sampling strategy. We show that, given a pre-determined discount budget, our algorithms can significantly acquire better revenue in return than classical strategies with simply fixed discount on label price. We then demonstrate its feasibility to be a promising deployment in e-commerce services for real-time promotion.", "citation": "Citations (1)", "departments": ["National Cheng Kung University", "National Cheng Kung University", "National Cheng Kung University", "National Cheng Kung University", "Slice Technolog ... Mateo, CA, USA"], "authors": ["<NAME>.....http://dblp.org/pers/hd/l/Lin:Ying=Chun", "Chi-Hsuan Huang.....http://dblp.org/pers/hd/h/Huang:Chi=Hsuan", "Chu-Cheng Hsieh.....http://dblp.org/pers/hd/h/Hsieh:Chu=Cheng", "Yu-Chen Shu.....http://dblp.org/pers/hd/s/Shu:Yu=Chen", "Kun-Ta Chuang.....http://dblp.org/pers/hd/c/Chuang:Kun=Ta"], "conf": "www", "year": "2017", "pages": 10}