Naman Shukla, Kartik Yellepeddi
arXiv 25 Oct 2021 · Machine Learning
arXiv:2110.13303 · PDF · DOI · OpenAlex · Extracted main text
We present a novel framework to learn functions that estimate decisions of sellers and buyers simultaneously in an oligopoly market for a price-sensitive product. In this setting, the aim of the seller network is to come up with a price for a given context such that the expected revenue is maximized by considering the buyer's satisfaction as well. On the other hand, the aim of the buyer network is to assign probability of purchase to the offered price to mimic the real world buyers' responses while also showing price sensitivity through its action. In other words, rejecting the unnecessarily high priced products. Similar to generative adversarial networks, this framework corresponds to a minimax two-player game. In our experiments with simulated and real-world transaction data, we compared our framework with the baseline model and demonstrated its potential through proposed evaluation metrics.
appendix boundary found by appendix_command · 82% of the source is main text. Read the extracted text to check this.
The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Peng Ye, Julian Qian, Jieying Chen, Chen-hung Wu, Yitong Zhou, Spenc… (2018) Customized regression model for airbnb dynamic pricing | 0.928 | 4 | 3 | 100% |
| 2 | Akhil Gupta, Naman Shukla, Lavanya Marla, Arinbjörn Kolbeinsson, and… (1909) How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility? self | 0.644 | 2 | 2 | 100% |
| 3 | Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, and… (2019) Dynamic Pricing for Airline Ancillaries with Customer Context self | 0.644 | 2 | 2 | 100% |
| 4 | M. Ben-Akiva and S. Lerman (1985) Discrete choice analysis | 0.405 | 1 | 1 | 100% |
| 5 | X. Gabaix and D. Laibson (2006) Shrouded attributes, consumer myopia, and information suppression in competitive markets | 0.405 | 1 | 1 | 100% |
| 6 | D. Kahneman and A. Tversky (1979) Prospect theory: an analysis of decision under risk | 0.405 | 1 | 1 | 100% |
| 7 | J.D. Shulman and X. Geng (2013) Management Science, 59:0 899–917, 2013 | 0.405 | 1 | 1 | 100% |
| 8 | Diederik P. Kingma and Jimmy Ba (2015) Adam: A method for stochastic optimization | 0.405 | 1 | 1 | 100% |
| 9 | Alankrita Aggarwal, Mamta Mittal, and Gopi Battineni (2021) Generative adversarial network: An overview of theory and applications | 0.405 | 1 | 1 | 100% |
| 10 | George J Avlonitis and Kostis A Indounas (2005) Pricing objectives and pricing methods in the services sector | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 39 scored citations.