KDD 2018 | Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach
Rainer Schlosser (Hasso Plattner Institute); Martin Boissier (Hasso Plattner Institute) Most online markets are characterized by competitive settings and limited demand information. Due to the complexity of such markets, efficient pricing strategies are hard to derive. We analyze stochastic dynamic pricing models in competitive markets with multiple offer dimensions, such as price, quality, and ra
KDD 2018 | Customized Regression Model for Airbnb Dynamic Pricing
Peng Ye (Airbnb); Julian Qian (Ant financial); Jieying Chen (Airbnb); Chen-Hung Wu (Airbnb); Yitong Zhou (Airbnb); Spencer De Mars (Airbnb); Frank Yang (Airbnb); Li Zhang (Airbnb) This paper describes the pricing strategy model deployed at Airbnb, an online marketplace for sharing home and experience. The goal of price optimization is to help hosts who share their homes on Airbnb set the optimal p
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