Download 2010 International Conference on Computational Intelligence and

2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
2010, Article number 5676953
ISBN: 978-142445392-4
DOI: 10.1109/CISE.2010.5676953
Document Type: Conference Paper
Source Type: Conference Proceeding
Sponsors: IEEE Wuhan Section, Wuhan University, James Madison University,
University of Wisconsin-La Crosse, Microsoft Research Asia
2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010;
Wuhan; 10 December 2010 through 12 December 2010; Category number CFP1026H-ART; Code
83780
View at publisher|
A non functional properties based web service recommender
system
Tiwari, S.
, Kaushik, S.
Computer Science and Engineering Department, Indian Institute of Technology, Delhi, India
Abstract
Web services provide a promising solution to an age old need of fast and flexible information sharing among
people and businesses. Selection of web service has become a tedious job because of the increasing
number of service providers providing services with similar functionality. Service registries are becoming
very large preventing users from discovering desired service. Sometimes service users may not be aware of
services that can be most beneficial to them. Therefore, a framework for selection of web service that can
meet the user's specific requirements is needed. In this work, we have proposed a personalized web service
recommender system that will be very useful to the user in finding web service matching his/her needs. A
recommender system helps product/service user to deal with information overload and provides
personalized recommendation to them. There have been a few web service recommendation system in
past, but most of them are either content based or collaborative filtering based recommendation. But all of
these approaches have their own limitations. In our work we have proposed a web service recommender
system based on hybrid technique which takes advantages of collaborative filtering based, content based
and knowledge based approaches and minimize there individual limitations. ©2010 IEEE.
Language of original document
English
Author keywords
Hybrid recommendations; Non-functional properties; Recommender systems; Soft computing; Web services
Index Keywords
Collaborative filtering; Content-based; Hybrid recommendation; Hybrid techniques; Information overloads;
Information sharing; Knowledge-based approach; Non functional properties; Number of services;
Personalized recommendation; Recommendation systems; Service matching; Service registry
Engineering controlled terms: Artificial intelligence; Knowledge based systems; Recommender systems;
Signal filtering and prediction; Soft computing; Software engineering
Engineering main heading: Web services
Tiwari, S.; Computer Science and Engineering Department, Indian Institute of Technology, Delhi, India;
email:[email protected]
© Copyright 2011 Elsevier B.V., All rights reserved.
2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
2010, Article number 5676953