Online Product Recommendation System Using Multi Scenario Demographic Hybrid (MDH) Approach
In: Computational Intelligence in Data Science : Third IFIP TC 12 International Conference, ICCIDS 2020, Chennai, India, February 20–22, Jg. 578 (2020), S. 248-260
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Titel: |
Online Product Recommendation System Using Multi Scenario Demographic Hybrid (MDH) Approach
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Autor/in / Beteiligte Person: | Karthik, R. V. ; Ganapathy, Sannasi ; Rannenberg, Kai [Ed.]-in-Chief ; Soares Barbosa, Luís [Ed.]ial Board Member ; Goedicke, Michael [Ed.]ial Board Member ; Tatnall, Arthur [Ed.]ial Board Member ; Neuhold, Erich J. [Ed.]ial Board Member ; Stiller, Burkhard [Ed.]ial Board Member ; Tröltzsch, Fredi [Ed.]ial Board Member ; Pries-Heje, Jan [Ed.]ial Board Member ; Kreps, David [Ed.]ial Board Member ; Reis, Ricardo [Ed.]ial Board Member ; Furnell, Steven [Ed.]ial Board Member ; Mercier-Laurent, Eunika [Ed.]ial Board Member ; Winckler, Marco [Ed.]ial Board Member ; Malaka, Rainer [Ed.]ial Board Member ; Chandrabose, Aravindan [Ed.] ; Furbach, Ulrich [Ed.] ; Ghosh, Ashish [Ed.] ; Kumar M., Anand [Ed.] |
Zeitschrift: | Computational Intelligence in Data Science : Third IFIP TC 12 International Conference, ICCIDS 2020, Chennai, India, February 20–22, Jg. 578 (2020), S. 248-260 |
Veröffentlichung: | 2020 |
Medientyp: | E-Book |
ISBN: | 978-3-030-63466-7 (print) ; 978-3-030-63467-4 (print) |
DOI: | 10.1007/978-3-030-63467-4_20 |
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