MMN BASED COLLABORATIVE FILTERING APPROACH FOR SELECTION OF LOCATION AWARE SERVICES
Abstract
Web services are a method of communication between two electronic devices over a network. The
number of web services which are publicly available is increasing steadily on the internet which makes it
difficult for the users to select a proper web service. Additional overhead in time and resources takes place when
the developers are not able to select a proper web service. Therefore, effective approaches to service selection
and recommendation are in an urgent need. Also using the same QoS values for all the users will not give a
good recommendation for the user. In the proposed system, personalized QoS prediction is provided so that for
each user the QoS values will be calculated and the best recommended web service is provided. A collaborative
filtering based web service recommender system is used to help users select a quality web service. Using the
location information and QoS values, the services are normalized using MMN based collaborative filtering
approach and then it is ranked to give the best web service recommendation for users.
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