Marketing Recommender Systems: A New Approach in Digital Economy

نویسندگان

  • Loredana MOCEAN
  • Ciprian Marcel POP
چکیده

Marketing information systems are those systems which make the gathering, processing, selection, storage, transmission and display of coordinated and continuous internal and external information. Includes systematic and formal methods used for managing all of an organization's information market. Recommendation systems are those systems that are widely used in online systems to suggest items that users might find interesting. These recommendations are generated using in particular two techniques: content-based and collaborative filtering. This paper aims to define a new system, namely Marketing Recommender System, a system that serves marketing and uses techniques and methods of the digital economy.

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تاریخ انتشار 2012