Interest Based Collaborative Filtering Recommendation Engine

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PU997JPC230
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Geliefert zwischen Mi., 04.03.2026 und Do., 05.03.2026

Details

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.

Autorentext

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

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659955082
    • Genre Information Technology
    • Anzahl Seiten 76
    • Größe H220mm x B150mm
    • Jahr 2016
    • EAN 9783659955082
    • Format Kartonierter Einband
    • ISBN 978-3-659-95508-2
    • Titel Interest Based Collaborative Filtering Recommendation Engine
    • Autor Suraj Shinde
    • Untertitel Providing recommendation with high accuracy
    • Herausgeber LAP Lambert Academic Publishing
    • Sprache Englisch

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