BizSeeker
A hybrid semantic recommendation system for personalized government‐to‐business e‐services
Bibliographic Data
| ID | 12420205 |
|---|---|
| Authors | Jie Lu (0000-0003-3659-1175, University of Technology Sydney, corresponding author), Qusai Y Shambour (0000-0002-3026-845X, University of Technology Sydney), Qusai Shambour, Yisi Xu (University of Technology Sydney), Qing Lin (0000-0002-6268-2786, University of Technology Sydney), Guangquan Zhang (0000-0003-3960-0583, University of Technology Sydney) |
| Editors | L Martinez‐Lopez |
| Year | 2010 |
| Volume | 20 |
| Issue | 3 |
| Pages | 342-365 |
| Publication date | 2010-06-08 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Internet Research (JOURNAL) |
| Journal identifiers | ISSN: 1066-2243 • E-ISSN: 2054-5657 |
| Publisher | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/10662241011050740 |
| OpenAlex | W2091209984 |
| Language | EN |
| Citations received | 3 |
| References cited | 14 |
Purpose – The purpose of this paper is to develop a hybrid semantic recommendation system to provide personalized government to business (G2B) e‐services, in particular, business partner recommendation e‐services for Australian small to medium enterprises (SMEs)
Business · Government (linguistics · Knowledge management · Process management · Caching and Content Delivery · Computer Science · Recommender Systems and Techniques · Web Data Mining and Analysis
| Citations per year | 0.2 |
|---|---|
| Citation span | 2011 - 2021 (11) |
| Highly cited | No |