An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions

• Tác giả: Debjyoti Saharoy, Theja Tulabandhula
• Ngôn ngữ: eng
• Ký hiệu phân loại: 005.116 +*Constraint programming
• Thông tin xuất bản: 2018
• Bộ sưu tập: Báo, Tạp chí
• ID: 161824

Tóm tắt

We propose a new efficient online algorithm to learn the parameters governing the purchasing behavior of a utility maximizing buyer, who responds to prices, in a repeated interaction setting. The key feature of our algorithm is that it can learn even non-linear buyer utility while working with arbitrary price constraints that the seller may impose. This overcomes a major shortcoming of previous approaches, which use unrealistic prices to learn these parameters making them unsuitable in practice.