Extending UDDI with Recommendations: An Association Analysis Approach

Andrea Powles, Shonali Krishnaswamy


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.


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Paper Citation

in Harvard Style

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 - Volume 1: WSMDEIS, (ICEIS 2005) ISBN 972-8865-27-9, pages 67-76. DOI: 10.5220/0002561900670076

in Bibtex Style

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 - Volume 1: WSMDEIS, (ICEIS 2005)},

in EndNote Style

JO - Proceedings of the Joint Workshop on Web Services and Model-Driven Enterprise Information Systems - Volume 1: WSMDEIS, (ICEIS 2005)
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