WSRS: A web service recommender system

Author First name, Last name, Institution

Esma Aimeur, University of Montreal
David Daboue, University of Montreal
Flavien Serge Mani Onana, University of Montreal
Djamal Benslimane, Université Claude Bernard Lyon 1
Zakaria Maamar, Zayed University

Document Type

Conference Proceeding

Source of Publication

Webist 2007 - 3rd International Conference on Web Information Systems and Technologies, Proceedings

Publication Date

12-1-2007

Abstract

Despite Web services widespread adoption, users still struggle with the problem of locating the Web services that best satisfy their needs and meet their requirements. Unfortunately, current Web services repositories suffer from various limitations, such as providing Web services to users regardless of these users' past experiences and these Web services' intrinsic characteristics like popularity and credibility. In this paper, we introduce a Web Service Recommender System that uses collaborative filtering, demographic filtering, and content-based filtering techniques to help facilitate the search of Web services. The WSRS system uses both users' and Web services' profile for the sake or recommending Web services.

Volume

IT

First Page

284

Last Page

289

Disciplines

Computer Sciences

Keywords

Profile, Recommender System, Similarity, Web service

Scopus ID

67649784058

Recommended Citation

Aimeur, Esma; Daboue, David; Onana, Flavien Serge Mani; Benslimane, Djamal; and Maamar, Zakaria, "WSRS: A web service recommender system" (2007). All Works. 4027.
https://zuscholars.zu.ac.ae/works/4027

Indexed in Scopus

yes

Open Access

no