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Multi-domain and Context-Aware Recommendations Using Contextual Ontological User Profile

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Advanced Data Mining and Applications (ADMA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13088))

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Abstract

Recommender Systems (RS) became popular tools in many Web services like Netflix, Amazon, or YouTube, because they help a user to avoid an information overload problem. One of the types of RS is Context-Aware RS (CARS) which exploits contextual information to provide more adequate recommendations. Cross-Domain RS (CDRS) was created as a response to the data sparsity problem which occurs when only a few users can provide reviews or ratings for many items. One of the kinds of CDRS is Multi-domain RS which use user information from at least two domains to recommend items from all these domains. In this paper, we investigate how Contextual Ontological User Profile can be used for making multi-domain and context-aware recommendations. We show the improvement of accuracy and diversity of recommendations while combining CARS with CDRS.

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Authors and Affiliations

  1. Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland

    Aleksandra Karpus & Krzysztof Goczyła

Authors
  1. Aleksandra Karpus
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  2. Krzysztof Goczyła
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Corresponding author

Correspondence to Aleksandra Karpus .

Editor information

Editors and Affiliations

  1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Bohan Li

  2. University of Queensland, Brisbane, QLD, Australia

    Lin Yue

  3. University of Technology Sydney, Sydney, NSW, Australia

    Jing Jiang

  4. University of Queensland, Brisbane, QLD, Australia

    Weitong Chen

  5. University of Queensland, Brisbane, QLD, Australia

    Xue Li

  6. University of Technology Sydney, Sydney, NSW, Australia

    Guodong Long

  7. Carnegie Mellon University, Pittsburgh, USA

    Fei Fang

  8. Nanyang Technological University, Singapore, Singapore

    Han Yu

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Karpus, A., Goczyła, K. (2022). Multi-domain and Context-Aware Recommendations Using Contextual Ontological User Profile. In: Li, B., et al. Advanced Data Mining and Applications. ADMA 2022. Lecture Notes in Computer Science(), vol 13088. Springer, Cham. https://doi.org/10.1007/978-3-030-95408-6_28

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  • DOI: https://doi.org/10.1007/978-3-030-95408-6_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-95407-9

  • Online ISBN: 978-3-030-95408-6

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