Optimal marketing strategies over social networks
Proceedings of the 17th international conference on World Wide Web
Item pricing for revenue maximization
Proceedings of the 9th ACM conference on Electronic commerce
Dynamic pricing for impatient bidders
ACM Transactions on Algorithms (TALG)
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We study prior-free revenue maximization for a seller with unlimited supply of n item types facing m myopic buyers present for k n days. We show that a certain randomized schedule of posted prices has an approximation factor of O(log m+log n/k). This algorithm relies on buyer valuations having hereditary maximizers, a novel natural property satisfied for example by gross substitutes valuations. We obtain a matching lower bound with multi-unit valuations. In light of existing results [2], k days can thus improve the approximation by a Θ(k) factor. We also provide a posted price schedule with the same factor for positive affine allocative externalities, despite an increase in the optimal revenue.