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Interest Based Collaborative Filtering Recommendation Engine

Providing recommendation with high accuracy

Erschienen am 15.10.2016, 1. Auflage 2016
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Bibliografische Daten
ISBN/EAN: 9783659955082
Sprache: Englisch
Umfang: 76 S.
Format (T/L/B): 0.6 x 22 x 15 cm
Einband: kartoniertes Buch

Beschreibung

Recommendation systems are widely used on the Web for recommending products and services to users. Many e-commerce sites have such systems.It is important to provide accurate recommendation to users. Here an expert system for movie recommendation is presented with new approach. This system is implemented using co clustering method. Category of the movie and ratings given by users are used to provide accurate recommendations.

Autorenportrait

He received B.E degree in information technology from Pune University, Maharashtra, India and M.E. degree in Computer Science and Engineering in Nagesh Karajagi Orchid College of Engg. & Technology, Solapur, India. He completed his dissertation work under the guidance of Mr. Vipul V Bag, Head of Department CSE Nagesh Karajagi Orchid College,solapur

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