This study explores the effectiveness of soft computing and neurofuzzy techniques in trust prediction within online communities. Utilizing an adaptive neurofuzzy inference system (ANFIS), the study compares its performance with traditional classification techniques on data from the Epinions network. Results indicate that ANFIS achieves superior performance in terms of area under ROC (AUC) compared to other methods, with comparable results in F-measure to the C4.5 algorithm. The study suggests ANFIS as a suitable approach for predicting trust relationships in online communities.
-
Abbasimehr, Hossein, and MohammadJafar Tarokh. "Trust prediction in online communities employing neurofuzzy approach." Applied Artificial Intelligence 29.7 (2015): 733-751.
-
Members
- Chris Anderson
- JoeyM
- envy
- JoelR
- Adriano Faria
- Square Wheels
- Nathan Explosion
- Dilip
- DawPi
- V0RT3X
- ali hagi
- lukash
- TracyIsland
- opentype
- StevenM
- Como
- Marcin Martyniak
- IC Essentials
- Andhrafriends Admin
- adik
- N700
- MissB
- XwReK
- terabyte
- GazzaGarratt
- A Zayed
- PrettyPixels
- Paul
- onlyME
- isvans
- Claudia999
- rainx
- NewVicious
- Daffy
- hyprem
- GuitarGathering
- Tripp
- Kirill Gromov
- Askancy
- MLK
- aXenDev
- Live Games
- Jelly Belly
- eveneme eveneme
- Analog
- Synergy
- burnyourfeelings
- Nomad
- ReyDev
- Morphe
- eivindsimensen
- YourSharona
- lordi
- shahed
- John Horton
- PayMap
- Serval
- Matt
- Nomer3
- Dennis Maidon
- Nicolas PC
- Ioannis D
- bernhara
- Zennuie
- COSMIN
- wulfx01
- Matthew Hawley
- bing11
- Verto
- George Anderssen
- Toby
- Cheryl
- ArashDev
- abobader
- IPS THEME
- SzymonPajacyk
- Bearback
- nosavinggrace
- Aengul
- Labis
- Maxius
- Shawn RR
- Richard Arch
- Marius
- Gary
- Sofia
- Ryan
- JoshB
- John Morris
- Mila
- Montreal
- aLEX49566
- PPlanet
- Ronald
- Fabian Paul Sanabria
- Meddysong
- sulervo
- PasXal
- ozman
- ZLTRGO