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Personalized Review Selection

Lei, Y, Hou, Ziwei, Xia, H, Tan, J, Li, X, Al-Khiza'ay, Muhmmad Abbas Kazim and Li, Gang 2019, Personalized Review Selection, in ICRTAC - DISRUP - TIV INNOVATION 2019 : Proceedings of the 2nd Trends in Advanced Computing 2019 International Conference, Elsevier, Amsterdam, The Netherlands, pp. 158-165, doi: 10.1016/j.procs.2020.01.096.

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Title Personalized Review Selection
Author(s) Lei, Y
Hou, Ziwei
Xia, H
Tan, J
Li, XORCID iD for Li, X orcid.org/0000-0003-1583-641X
Al-Khiza'ay, Muhmmad Abbas Kazim
Li, Gang
Conference name Recent Trends in Advanced Computing. Conference (2nd. (2019 : Chennai, India)
Conference location Chennai, India
Conference dates 2019/11/11 - 2019/11/12
Title of proceedings ICRTAC - DISRUP - TIV INNOVATION 2019 : Proceedings of the 2nd Trends in Advanced Computing 2019 International Conference
Editor(s) Nithyanandam, P
Parvathi, R
Jagadeesh Kannan, R
Nayeemulla Khan, A
Publication date 2019
Series Procedia Computer Science
Start page 158
End page 165
Total pages 8
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Keyword(s) personalization
review selection
earth mover's distance
genetic algorithm
NO CORE RANK
Summary © 2019 Procedia Computer Science. All rights reserved. With the popularity of the online social network, reviews gradually becoming the main data source for users to understand the qualities of the goods to be purchased. However, with the proliferate of online reviews, these large amounts of reviews make it difficult for users to select useful information. Aiming to enable users to quickly obtain valid information from large amounts of reviews, this paper proposes a new method named PG to implicate personalized review selection. The proposed method in our paper is efficient for users by helping them select useful information from massive reviews.
ISSN 1877-0509
DOI 10.1016/j.procs.2020.01.096
Field of Research 08 Information and Computing Sciences
10 Technology
HERDC Research category E1 Full written paper - refereed
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135928

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Created: Thu, 02 Apr 2020, 10:01:52 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.