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Recommender Systems In E-Commerce Applications

Author

Listed:
  • Gyöngyvér KOVÁCS

    (Faculty of Economics and Business Administration, Babeş–Bolyai University of Cluj-Napoca)

  • Mihai-Constantin AVORNICULUI

    (Faculty of Economics and Business Administration, Babeş–Bolyai University of Cluj-Napoca)

  • Botond BENEDEK

    (The CRM Expert, Cluj-Napoca)

Abstract

One of the major problem with online shopping is finingd the right product, because finding the right product presumes that we know its name, but in most cases it is not so. For this reason the users need help in the process of online searching/shopping. Recommender systems have became a popular technique and strategy for helping users to select desirable products or services. In the past few years the recommender systems have changed from novelties used by a few big e-commerce sites, to serious business tools that are re-shaping the world of e-commerce. In this paper, we provide a brief overview of the classification of recommendation systems based on technology used to create recommendations, and inputs they need from the customers. Furthermore we analyze a few algorithms used by recommender systems and we will also present some marketing recommender systems and their comparative analysis.

Suggested Citation

  • Gyöngyvér KOVÁCS & Mihai-Constantin AVORNICULUI & Botond BENEDEK, 2016. "Recommender Systems In E-Commerce Applications," Management Intercultural, Romanian Foundation for Business Intelligence, Editorial Department, issue 37, pages 265-271, December.
    • Handle: RePEc:cmj:interc:y:2016:i:37:p:265-271
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    More about this item

    Keywords

    Recommender system; E-commerce; Recommendation algorithm; Marketing recommander system;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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