Jointly Learning Prices and Product Features

Emamjomeh-Zadeh, Ehsan; Paes Leme, Renato; Schneider, Jon; Sivan, Balasubramanian

doi:10.24963/ijcai.2021/325

Jointly Learning Prices and Product Features

Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, Balasubramanian Sivan

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 2360-2366.

https://doi.org/10.24963/ijcai.2021/325

Keywords

Agent-based and Multi-agent Systems: Economic Paradigms, Auctions and Market-Based Systems
Machine Learning: Online Learning

Abstract

Product Design is an important problem in marketing research where a firm tries

to learn what features of a product are more valuable to consumers. We study

this problem from the viewpoint of online learning: a firm repeatedly interacts

with a buyer by choosing a product configuration as well as a price and

observing the buyer's purchasing decision. The goal of the firm is to maximize

revenue throughout the course of $T$ rounds by

learning the buyer's preferences.

We study both the case of a set of discrete products and the case of a continuous set of

allowable product features. In both cases we provide nearly tight

upper and lower regret bounds.

Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, and Balasubramanian Sivan. 2021. Jointly Learning Prices and Product Features. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 2360–2366. https://doi.org/10.24963/ijcai.2021/325

@inproceedings{ijcai2021p325,
  title     = {Jointly Learning Prices and Product Features},
  author    = {Emamjomeh-Zadeh, Ehsan and Paes Leme, Renato and Schneider, Jon and Sivan, Balasubramanian},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {2360--2366},
  year      = {2021},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2021/325},
  url       = {https://doi.org/10.24963/ijcai.2021/325},
}

TY  - CPAPER
TI  - Jointly Learning Prices and Product Features
AU  - Emamjomeh-Zadeh, Ehsan
AU  - Paes Leme, Renato
AU  - Schneider, Jon
AU  - Sivan, Balasubramanian
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 2360
EP  - 2366
DO  - 10.24963/ijcai.2021/325
UR  - https://doi.org/10.24963/ijcai.2021/325
ER  -