Arrow Research search
Back to STOC

STOC 2022

Pricing ordered items

Conference Paper Session 4C Algorithms and Complexity · Theoretical Computer Science

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

  • buy-many mechanisms
  • item pricing
  • ordered item values
  • revenue maximization

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
945108639766522495
v2026.09.13