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International Workshop on Multi-disciplinary Trends in Artificial Intelligence

MIWAI 2015: Multi-disciplinary Trends in Artificial Intelligence pp 415–428Cite as

A Recommender System for Mobile Commerce Based on Relational Learning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9426))

Abstract

Recommender systems are intelligent tools to extract useful information from a large collection of online data. They have been widely used in various fields, including the recommendation of music, movies, documents, tourism attraction, e-learning and e-commerce. Many approaches, such as content-based filtering and collaborative filtering, have been proposed to run the recommender system, but they are not completely compatible with the m-commerce context. Therefore, this paper focuses on how to develop a recommender model that can be applied to the mobile environment. In addition, this paper also presents the methods to preprocess the data. Through applying the model to a real-world data supported by Alibaba Group, it is shown that our model works effectively in m-commerce.

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Acknowledgments

This work is partly supported by Open Project Foundation of Information Technology Research Base of Civil Aviation Administration of China (NO. CAAC-ITRB-201301).

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Authors and Affiliations

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Shengnan Chen, Hongyan Qian & Jiayi Gu

  2. Information Technology Research Base of Civil Aviation Administration of China, Civil Aviation University of China, Tianjin, 300300, China

    Hongyan Qian

Authors
  1. Shengnan Chen
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  2. Hongyan Qian
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  3. Jiayi Gu
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Corresponding author

Correspondence to Shengnan Chen .

Editor information

Editors and Affiliations

  1. University College of London, London, United Kingdom

    Antonis Bikakis

  2. Fuzhou University, Fuzhou, China

    Xianghan Zheng

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© 2015 Springer International Publishing Switzerland

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Chen, S., Qian, H., Gu, J. (2015). A Recommender System for Mobile Commerce Based on Relational Learning. In: Bikakis, A., Zheng, X. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2015. Lecture Notes in Computer Science(), vol 9426. Springer, Cham. https://doi.org/10.1007/978-3-319-26181-2_39

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  • DOI: https://doi.org/10.1007/978-3-319-26181-2_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26180-5

  • Online ISBN: 978-3-319-26181-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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