Forecasting the importance of product attributes using online customer reviews and Google Trends
Year of publication: |
2021
|
---|---|
Authors: | Yakubu, Hanan ; Kwong, C. K. |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 171.2021, p. 1-13
|
Subject: | Fuzzy time series | Google Trends | Importance of product attributes | Online reviews | Rough set | Online-Handel | Online retailing | Suchmaschine | Search engine | Konsumentenverhalten | Consumer behaviour | Prognoseverfahren | Forecasting model | Virales Marketing | Viral marketing | Online-Marketing | Internet marketing | Zeitreihenanalyse | Time series analysis | Personalisierung | Personalization |
-
A novel approach to rate and summarize online reviews according to user-specified aspects
Hu, Hsiao-Wei, (2016)
-
Demand forecasting with user-generated online information
Schaer, Oliver, (2019)
-
Forecasting sales using online review and search engine data : a method based on PCA-DSFOA-BPNN
Zhang, Chuan, (2022)
- More ...
-
Yakubu, H., (1999)
-
WU, ZHIQIAO, (2011)
-
Handling uncertainties in modelling manufacturing processes with hybrid swarm intelligence
Chan, Kit Yan, (2012)
- More ...