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Toward a Context-Aware Serendipitous Recommendation System

In: Advances in Service Science

Author

Listed:
  • Changhun Lee

    (Ulsan National Institute of Science and Technology)

  • Gyumin Lee

    (Ulsan National Institute of Science and Technology)

  • Chiehyeon Lim

    (Ulsan National Institute of Science and Technology)

Abstract

Recommendation system development has been an important domain in the industrial and academic fields for the past two decades. Recently, the importance of developing a context-aware serendipitous recommendation system has emerged. As such, we investigate the latent features of items that may be recognized by the users of such a system. We assume that users will move from one item to another through the latent features reflected in the sequence of items. Our work specifically focuses on the process of predicting the sequential and changing taste of users. We show the existence of latent features by presenting a topic map and suggest a context-aware serendipitous recommendation system.

Suggested Citation

  • Changhun Lee & Gyumin Lee & Chiehyeon Lim, 2019. "Toward a Context-Aware Serendipitous Recommendation System," Springer Proceedings in Business and Economics, in: Hui Yang & Robin Qiu (ed.), Advances in Service Science, pages 161-168, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-04726-9_16
    DOI: 10.1007/978-3-030-04726-9_16
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