منابع مشابه
Dynamic Pricing Through Data Sampling
In this paper we study a dynamic pricing problem, where a firm offers a product to be sold over a fixed time horizon. The firm has a given initial inventory level, but there is uncertainty about the demand for the product in each time period. The objective of the firm is to determine a robust and dynamic pricing strategy that maximizes revenue over the entire selling season. We develop a tracta...
متن کاملDynamic Pricing through Sampling Based Optimization
Citation Lobel, Ruben, and Georgia Perakis. "Dynamic pricing through sampling based optimization." The 51st Airline Group of the International Federation of Operational Research Societies (AGIFORS) Annual Proceedings, Antalya, Turkey, October 1014, 2011. As Published http://toc.proceedings.com/13874webtoc.pdf Publisher Airline Group of the International Federation of Operational Research Societies
متن کاملThompson Sampling for Dynamic Pricing
In this paper we apply active learning algorithms for dynamic pricing in a prominent e-commerce website. Dynamic pricing involves changing the price of items on a regular basis, and uses the feedback from the pricing decisions to update prices of the items. Most popular approaches to dynamic pricing use a passive learning approach, where the algorithm uses historical data to learn various param...
متن کاملA Framework for Sampling-Based XML Data Pricing
While price and data quality should define the major tradeoff for consumers in data markets, prices are usually prescribed by vendors and data quality is not negotiable. In this paper we study a model where data quality can be traded for a discount. We focus on the case of XML documents and consider completeness as the quality dimension. In our setting, the data provider offers an XML document,...
متن کاملKSample: Dynamic Sampling Over Unbounded Data Streams
Data sampling over data streams is common practice to allow the analysis of data in real-time. However, sampling over data streams becomes complex when the stream does not fit in memory, and worse yet, when the length of the stream is unknown. A well-known technique for sampling data streams is the Reservoir Sampling. It requires a fixed-size reservoir that corresponds to the resulting sample s...
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ژورنال
عنوان ژورنال: Production and Operations Management
سال: 2018
ISSN: 1059-1478,1937-5956
DOI: 10.1111/poms.12854