Personalized Web Service Ranking via User Group Combining Association Rule

2009 ◽  
Author(s):  
Wenge Rong ◽  
Kecheng Liu ◽  
Lin Liang
Keyword(s):  
Web Service ◽  
Association Rule ◽  
User Group ◽  
Service Ranking

scholarly journals Modeling User's Non-Functional Preferences for Personalized Service Ranking

2021 ◽  
Author(s):  
Rozita Mirmotalebi
Keyword(s):  
Web Services ◽  
Web Service ◽  
Functional Properties ◽  
User Modeling ◽  
User Profiles ◽  
Different Types ◽  
The Right ◽  
Service Ranking ◽  
Implicit And Explicit ◽  
Flexible Model

As the number of web services is increasing on the web, selecting the proper web service is becoming a more and more difficult task. How to make the selection results from a list of services more customized towards users’ personal preferences and help users identify the right services for their personal needs becomes especially important under this context. In this thesis, we propose a novel User Modeling approach to generate user profiles on their non-functional preferences on web services, and then apply the generated profiles to the ranking process in order to make personalized selection results. The User Modeling system is based on both implicit and explicit information from the user. Also, this is a flexible model to include different types of non-functional properties. We performed experiments using a real web service dataset with values on various non-functional properties to show the accuracy of our system.

Web Service Ranking Based on Context

2012 ◽  
Author(s):  
Rong Zhang ◽  
Koji Zettsu ◽  
Yutaka Kidawara ◽  
Yasushi Kiyoki
Keyword(s):  
Web Service ◽  
Service Ranking

An Effective Web Service Ranking Method via Exploring User Behavior

2015 ◽  
Vol 12 (4) ◽  
pp. 554-564 ◽  
Author(s):  
Guosheng Kang ◽  
Jianxun Liu ◽  
Mingdong Tang ◽  
Buqing Cao ◽  
Yu Xu
Keyword(s):  
Web Service ◽  
User Behavior ◽  
Ranking Method ◽  
Service Ranking
Sign in / Sign up

Export Citation Format

Share Document