PMID- 35127333
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220207
IS  - 2196-1115 (Print)
IS  - 2196-1115 (Electronic)
IS  - 2196-1115 (Linking)
VI  - 9
IP  - 1
DP  - 2022
TI  - An integrated model for evaluation of big data challenges and analytical methods 
      in recommender systems.
PG  - 13
LID - 10.1186/s40537-022-00560-z [doi]
LID - 13
AB  - The study aimed to present an integrated model for evaluation of big data (BD) 
      challenges and analytical methods in recommender systems (RSs). The proposed 
      model used fuzzy multi-criteria decision making (MCDM) which is a human 
      judgment-based method for weighting of RSs' properties. Human judgment is 
      associated with uncertainty and gray information. We used fuzzy techniques to 
      integrate, summarize, and calculate quality value judgment distances. Then, two 
      fuzzy inference systems (FIS) are implemented for scoring BD challenges and data 
      analytical methods in different RSs. In experimental testing of the proposed 
      model, A correlation coefficient (CC) analysis is conducted to test the 
      relationship between a BD challenge evaluation for a collaborative 
      filtering-based RS and the results of fuzzy inference systems. The result shows 
      the ability of the proposed model to evaluate the BD properties in RSs. Future 
      studies may improve FIS by providing rules for evaluating BD tools.
CI  - (c) The Author(s) 2022.
FAU - Asemi, Adeleh
AU  - Asemi A
AD  - Department of Software Engineering, Faculty of Computer Science and Information 
      Technology, Universiti Malaya, 50603 Kuala Lumpur, Malaysia. GRID: grid.10347.31. 
      ISNI: 0000 0001 2308 5949
FAU - Asemi, Asefeh
AU  - Asemi A
AUID- ORCID: 0000-0003-1667-4408
AD  - Doctoral School of Economics, Business, & Informatics, Corvinus University of 
      Budapest, Fovam ter 8., 1093 Budapest, Hungary. GRID: grid.17127.32. ISNI: 0000 
      0000 9234 5858
FAU - Ko, Andrea
AU  - Ko A
AD  - Corvinus University of Budapest, Fovam ter 8., 1093 Budapest, Hungary. GRID: 
      grid.17127.32. ISNI: 0000 0000 9234 5858
FAU - Alibeigi, Ali
AU  - Alibeigi A
AD  - Faculty of Law, Universiti Malaya, 50603 Kuala Lumpur, Malaysia. GRID: 
      grid.10347.31. ISNI: 0000 0001 2308 5949
LA  - eng
PT  - Journal Article
DEP - 20220131
PL  - Germany
TA  - J Big Data
JT  - Journal of big data
JID - 101659495
PMC - PMC8802250
OTO - NOTNLM
OT  - Analytical methods
OT  - Big Data properties
OT  - Dig Data challenges
OT  - Fuzzy AHP
OT  - Fuzzy inference system
OT  - Fuzzy multi-criteria decision making
OT  - Privacy
OT  - Recommender system properties
COIS- Competing interestsThe authors declare that they have no competing interests.
EDAT- 2022/02/08 06:00
MHDA- 2022/02/08 06:01
PMCR- 2022/01/31
CRDT- 2022/02/07 05:33
PHST- 2021/09/20 00:00 [received]
PHST- 2022/01/10 00:00 [accepted]
PHST- 2022/02/07 05:33 [entrez]
PHST- 2022/02/08 06:00 [pubmed]
PHST- 2022/02/08 06:01 [medline]
PHST- 2022/01/31 00:00 [pmc-release]
AID - 560 [pii]
AID - 10.1186/s40537-022-00560-z [doi]
PST - ppublish
SO  - J Big Data. 2022;9(1):13. doi: 10.1186/s40537-022-00560-z. Epub 2022 Jan 31.