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User Timeline and Interest-Based Collaborative Filtering on Social Network

Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 165)

Abstract

A lot of users and large amount of information have been posted and shared through on-line systems. User timeline and interest are important features on recommendation systems (e.g., user likes watching action movies in the morning, and likes watching drama movies in the afternoon however he/she likes watching thriller movies in the evening) and also on social network. There are some recommendation applications have been developed on social network to support users selecting what kind of wanted items based on user timeline and interest. However, there is not any approaches based on user timeline and interest have been proposed that user interest have been separated into partitions of user interest. Thus, a recommendation mechanism will be applied on social networks based on extracting user timeline and user interest that is necessary. In this paper, we propose a new approach that user interest will be determined on a set of time partitions.

Keywords

  • Recommendation systems
  • Context
  • User timeline
  • User interest

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Acknowledgment

This research is funded by QuangBinh University. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2014R1A2A2A05007154). Also, this research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2015-H8501-15-1018) supervised by the IITP(Institute for Information&communications Technology Promotion).

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Correspondence to Jason J. Jung .

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Pham, X.H., Jung, J.J., Nam, B.K.H., Nguyen, T.T. (2016). User Timeline and Interest-Based Collaborative Filtering on Social Network. In: Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications. ICCASA 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-319-29236-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-29236-6_14

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-29236-6

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