Extending UDDI with recommendations: an association analysis approach

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.