منابع مشابه
Dynamic Pricing in High-dimensions
We study the pricing problem faced by a firm that sells a large number of products, described via a wide range of features, to customers that arrive over time. This is motivated in part by the prevalence of online marketplaces that allow for real-time pricing. We propose a dynamic policy, called Regularized Maximum Likelihood Pricing (RMLP), that obtains asymptotically optimal revenue. Our poli...
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The widespread high-speed rail has become an important transportation mode for tourists in China, who travel primarily in groups. With more attractive price, railway operators may be able to expand ridership, improve customer satisfaction, and ultimately increase revenue. The traditional pricing method for passenger groups, however, is relatively simple, inflexible, which may lead to profit los...
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This paper proposes a self-learning approach to determine optimal pricing strategies for high-occupancy/toll lane operations. The approach learns recursively motorists’ willingness to pay by mining the loop detector data, and then specifies toll rates to maximize the freeway’s throughput while ensuring a superior travel service to the users of the toll lanes. In determination of the tolls, a mu...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2016
ISSN: 1556-5068
DOI: 10.2139/ssrn.2855843