Collaborative filtering based web service recommender system using users' satisfaction on QoS attributes

G. Vadivelou

Volume : VII, Issue : XI, November - 2018

Collaborative filtering based web service recommender system using users' satisfaction on QoS attributes

G. Vadivelou

Abstract :

To select the best service meeting their requirements, service users prefer to personalize their non–functional attributes, such as reliability and price. But, that creates challengesas service providers have to considercontradictory non–functional attributes in the service selection process for service users. Present memory–based collaborative filtering(CF) service recommendation methods employs this recommendation technique using non–functional attribute values obtained at service invocation in order to calculate the similarity between users or items, and also to predict missing non–functional attributes. However, this approach is not sufficient as the non–functional attribute values of invoked services may not necessarily satisfy their individual preferences. In this paper, a CF–based service recommendation method using users’ individual preference on non–functional attributes is proposed.