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. Attached Files Name Description MIMEType Size Downloads Title Personalized Review Selection Author(s) Lei, Y Hou, Ziwei Xia, H Tan, J 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 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Thu, 02 Apr 2020, 09:45:48 EST Thu, 02 Apr 2020, 09:47:50 EST Thu, 02 Apr 2020, 10:01:52 EST Fri, 03 Apr 2020, 04:01:07 EST Fri, 03 Apr 2020, 05:04:05 EST Tue, 05 May 2020, 16:13:08 EST Tue, 05 May 2020, 16:15:54 EST Tue, 05 May 2020, 16:17:23 EST Tue, 05 May 2020, 16:18:49 EST Fri, 22 May 2020, 00:36:22 EST Sat, 09 Jan 2021, 01:31:12 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 83 Abstract Views, 2 File Downloads  -  Detailed Statistics 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.