Extending UDDI with Recommendations: An Association Analysis Approach

Andrea Powles; Shonali Krishnaswamy

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Extending UDDI with Recommendations: An Association Analysis Approach

In Proceedings of the Joint Workshop on Web Services and Model-Driven Enterprise Information Systems - Volume 0ICEIS, 67-76, 2005 , Miami, United States

Authors: Andrea Powles and Shonali Krishnaswamy

Affiliation: School of Computer Science and Software Engineering, Monash University, Australia

Abstract: This paper presents a novel recommendation extension to UDDI that we term RUDDIS. Recommendations can have potential benefits to both providers and consumers of Web Services. We adopt a unique technique to making recommendations that applies association analysis rather than traditional collaborative filtering approach. We present the implementation and demonstrate the functioning of RUDDIS in an unobtrusive manner where the user has total control over the recommendation process.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.224.54.61

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Powles, A. and Krishnaswamy, S. (2005). Extending UDDI with Recommendations: An Association Analysis Approach. In Proceedings of the Joint Workshop on Web Services and Model-Driven Enterprise Information Systems (ICEIS 2005) - WSMDEIS; ISBN 972-8865-27-9, SciTePress, pages 67-76. DOI: 10.5220/0002561900670076

@conference{wsmdeis05,
author={Andrea Powles. and Shonali Krishnaswamy.},
title={Extending UDDI with Recommendations: An Association Analysis Approach},
booktitle={Proceedings of the Joint Workshop on Web Services and Model-Driven Enterprise Information Systems (ICEIS 2005) - WSMDEIS},
year={2005},
pages={67-76},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002561900670076},
isbn={972-8865-27-9},
}

TY - CONF

JO - Proceedings of the Joint Workshop on Web Services and Model-Driven Enterprise Information Systems (ICEIS 2005) - WSMDEIS
TI - Extending UDDI with Recommendations: An Association Analysis Approach
SN - 972-8865-27-9
AU - Powles, A.
AU - Krishnaswamy, S.
PY - 2005
SP - 67
EP - 76
DO - 10.5220/0002561900670076
PB - SciTePress