Marketing (business intelligence, revenue management, recommendation systems)

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161 results — page 3 of 9

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Clustering algorithms help identify homogeneous subgroups from data. In some cases, additional information about the relationship among some subsets of the d...

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We address the problem of accelerating column generation (CG) for set-covering formulations via dual optimal inequalities (DOI). DOI use knowledge of the du...

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We consider a large group of consumers who can choose between two products at each purchasing occasion. Their choice is influenced by the marketing strateg...

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In this paper, we study the competition between national brands and private labels (or store brands) by analyzing the impacts of their presence on strategies...

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\(K\)-medoids clustering is among the most popular methods for cluster analysis, but it carries several assumptions about the nature of the latent clusters...

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Recommender systems make use of different sources of information for providing users with recommendations of items. Such systems are often based on collabor...

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Top-tier customers -that is, those 20% of customers that typically bring in 80% of all profits- are extremely valuable to companies. In the many instances ...

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We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to tes...

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It is well known that strategic consumers can harm firms' profits by delaying their purchases, to buy at discounted price. A retailer can induce consumers ...

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We consider the problem of pricing and advertising a one-time entertainment event. We assume that the organizers want to sell all available tickets. Thre...

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In this paper, we present an online reinforcement learning algorithm, called Renewal Monte Carlo (RMC), for infinite horizon Markov decision processes with ...

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The purpose of this study is to design incentives for price and advertising coordination in a bilateral monopoly. I prove that a wholesale price reduction ...

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Brand imitation is a common practice that can take different forms, i.e., legal copying, as in the case of clones and knockoffs, or illegal, in the case of...

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Counterfeiting, which is defined as illegally copying genuine goods with a brand name, is a widespread phenomenon and is imposing a huge cost on owners of tr...

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This paper deals with R&D investment and technology licensing in a supply chain formed of an original equipment manufacturer (OEM) and a contract manufactu...

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Most papers on digital advertising focus on the point of view of Internet companies such as Google and Microsoft, and were written by people working for thos...

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We consider the problems of determining the metric dimension and the minimum cardinality of doubly resolving sets in \(n\)-cubes. Most heuristics develope...

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We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to te...

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In this study, the problem environment consists of two fast fashion retailing firms where one can obtain the other's selling data from an outside agent. The ...

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We consider a dynamic marketing channel comprising of one manufacturer and one retailer, where consumer demand depends on price and on brand reputation. We...

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