Using text mining algorithms in identifying emerging trends for recommender systems Raeesi Vanani, I, Mahmoudi, L, Jalali, Seyed Mohammad Jafar and Pho, KH 2021, Using text mining algorithms in identifying emerging trends for recommender systems, Quality and Quantity, pp. 1-34, doi: 10.1007/s11135-021-01177-9. Attached Files Name Description MIMEType Size Downloads Title Using text mining algorithms in identifying emerging trends for recommender systems Author(s) Raeesi Vanani, I Mahmoudi, L Jalali, Seyed Mohammad Jafar orcid.org/0000-0003-3565-2001 Pho, KH Journal name Quality and Quantity Start page 1 End page 34 Total pages 34 Publisher Springer Place of publication Dordrecht, The Netherlands Publication date 2021 ISSN 0033-5177 1573-7845 Notes First View Article Language eng DOI 10.1007/s11135-021-01177-9 Indigenous content off Field of Research 0104 Statistics 1608 Sociology 1701 Psychology HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30160510 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system 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. Versions Version Filter Type Fri, 31 Dec 2021, 14:16:02 EST Fri, 31 Dec 2021, 14:52:41 EST Wed, 02 Feb 2022, 05:03:31 EST Wed, 23 Mar 2022, 15:18:15 EST Wed, 23 Mar 2022, 15:20:03 EST Wed, 23 Mar 2022, 15:41:29 EST Wed, 23 Mar 2022, 15:50:38 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 18 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 31 Dec 2021, 14:16:02 EST