Name
Abstract | ||
|---|---|---|
Personalized services attract high-value customers. Knowing the preferences and habits of an individual customer, it is possible to offer to that customer well customized and adapted services, matching his needs and desires. This is advantageous for the entity offering the service (e.g., a retailer) as well, as it helps in creating additional sales or improve customer retention. The main unsolved problem today is that the profile of each individual customer would be necessary in order to create such services, posing severe risks regarding privacy and data protection. This paper proposes efficient encryption schemes that allow profiling to be outsourced while preserving privacy. The schemes ensure that the customer is always in control of his profile data, at the same time making shopping data across multiple retailers available to third party service providers to be able to provide targeted services. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CEC.2010.39 | Commerce and Enterprise Computing |
Keywords | Field | DocType |
high-value customer,outsourced profiling,efficient encryption scheme,shopping data,customer retention,individual customer,personalized service,profile data,additional sale,party service provider,data protection,cryptography,data privacy,privacy,history,public key,outsourcing,service provider,retailers,encryption | Customer intelligence,Customer retention,Internet privacy,Voice of the customer,Computer science,Customer to customer,Computer security,Service provider,Customer advocacy,Customer reference program,Information privacy | Conference |
ISBN | Citations | PageRank |
978-0-7695-4228-7 | 3 | 0.44 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Debmalya Biswas | 1 | 106 | 13.43 |
| Stephan Haller | 2 | 222 | 24.28 |
| Florian Kerschbaum | 3 | 1186 | 89.43 |