ONLINE RANKING IN WEB SERVICE USING AGGLOMERATIVE CLUSTERING

Author(s):

Athira.P.A , Christian College of Engineering and Technology Oddanchatram, Tamilnadu-624619, India; M.Gayathri, Christian College of Engineering and Technology Oddanchatram, Tamilnadu-624619, India; S.Nandhini, Christian College of Engineering and Technology Oddanchatram, Tamilnadu-624619, India; B.Priya Dharsini, Christian College of Engineering and Technology Oddanchatram, Tamilnadu-624619, India

Keywords:

Agglomerative Clustering, HAC, CF based Web service ranking

Abstract:

Web service is becoming more popular nowadays, so that it is difficult to find the suitable web service for the user. The ranking method will help the user to find the best web service. The existing system used the collaborative filtering (CF) method and it is only based on the user behavior. So in this system the agglomerative clustering based collaborative filtering method is used. The CF is used for the user and item based similarity measurement. Clustering is the process of grouping a set of objects into classes of similar objects. The three queries used to avoid the impact of different units, range and distribution of variables. The final web service ranking is obtained by using a rank aggregation method based on rank positions. It also proposes effective evaluation metrics to evaluate the approach. The incorporate user behavior, functional relevance and QoS utility of web service simultaneously for web service ranking. Experiments conducted on the real world web service dataset prove the effectiveness of the approach.

Other Details:

Manuscript Id	:	IJSTEV2I10041
Published in	:	Volume : 2, Issue : 10
Publication Date	:	01/05/2016
Page(s)	:	147-150

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