Improved Keyword Aware Service Recommendation System for Big Data Applications

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Format: PDF
Service recommender systems are valuable tools for providing appropriate recommendations to users. In the last decade the rapid growth of the number of customers, services and other online information yields service recommender systems in big data environment. In keyword aware service recommendation system, keywords are used to indicate both of user's preferences and quality of candidate services. A user based collaborative filtering algorithm is adopted to generate appropriate recommendations. In CF (Collaborative Filtering) based systems, users receive recommendations based on people who have similar tastes and preferences.
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