STOC 2022
Pricing ordered items
Abstract
We study the revenue guarantees and approximability of item pricing. Recent work shows that with n heterogeneous items, item-pricing guarantees an O (log n ) approximation to the optimal revenue achievable by any (buy-many) mechanism, even when buyers have arbitrarily combinatorial valuations. However, finding good item prices is challenging – it is known that even under unit-demand valuations, it is NP-hard to find item prices that approximate the revenue of the optimal item pricing better than O (√ n ).
Authors
Keywords
Context
- Venue
- ACM Symposium on Theory of Computing
- Archive span
- 1969-2025
- Indexed papers
- 4364
- Paper id
- 945108639766522495