Name
Abstract | ||
|---|---|---|
In this paper we address the following question: how to estimate a Markov Decision Process modeling the dynamics of customer relationships. Once the model is estimated, we discuss how to efficiently allocate marketing resources and instruments in order to maximize the long-term value generated by customers in a given future time horizon using dynamic programming. Our methodology allows us both to predict and to optimize the future value generated by customers. We show our approach using a case study involving a major European airline. |
Year | Venue | Keywords |
|---|---|---|
2005 | SIAM Proceedings Series | markov decision process |
Field | DocType | Citations |
Dynamic programming,Computer science,Markov decision process,Operations research,Resource allocation,Artificial intelligence,Machine learning,Management science | Conference | 3 |
PageRank | References | Authors |
0.76 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuliano Tirenni | 1 | 59 | 4.45 |
| A Labbi | 2 | 20 | 4.43 |
| andre elisseeff | 3 | 5865 | 337.67 |
| Cesar Berrospi | 4 | 4 | 1.10 |