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Recommender System for Audio Recordings: A New Approach Devised for Recommendation of Audio Recording Items - Softcover
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Nowadays the largest E-commerce or E-service websites offer millions of products for sale. A Recommender system is defined as software used by such websites for recommending product items to users according to the users’ tastes. In this project, we develop a recommender system for a private multimedia web service company. In particular, we devise three recommendation engines using different data filtering methods – named weighted-average, K-nearest neighbors, and item-based – which are based on collaborative filtering techniques, which work by recording user preferences on items and by anticipating the future likes and dislikes of users by comparing the records, for prediction of user preference. To acquire proper input data for the three engines, we retrieve data from database using three data collection techniques: active filtering, passive filtering, and item-based filtering. For experimental purpose we compare prediction accuracy of those recommendation engines with the results from each engine and additionally we evaluate the performance of weighted-average method using an empirical analysis approach – a methodology which was devised for verification of predictive accuracy.
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Über die Autorin bzw. den Autor
Jong Seo Lee is a software engineer in San Francisco Bay Area, USA. He graduated Cal Poly - San Luis Obispo with computer science Master's degree. His interest includes software engineering, DBMS, machine learning, data filtering and manipulation, and information systems.
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Recommender System for Audio Recordings
Verlag:
LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3846519367
ISBN 13: 9783846519363
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays the largest E-commerce or E-service websites offer millions of products for sale. A Recommender system is defined as software used by such websites for recommending product items to users according to the users tastes. In this project, we develop a recommender system for a private multimedia web service company. In particular, we devise three recommendation engines using different data filtering methods named weighted-average, K-nearest neighbors, and item-based which are based on collaborative filtering techniques, which work by recording user preferences on items and by anticipating the future likes and dislikes of users by comparing the records, for prediction of user preference. To acquire proper input data for the three engines, we retrieve data from database using three data collection techniques: active filtering, passive filtering, and item-based filtering. For experimental purpose we compare prediction accuracy of those recommendation engines with the results from each engine and additionally we evaluate the performance of weighted-average method using an empirical analysis approach a methodology which was devised for verification of predictive accuracy. 84 pp. Englisch. Bestandsnummer des Verkäufers 9783846519363
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Recommender System for Audio Recordings
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Zustand: New. pp. 84. Bestandsnummer des Verkäufers 2698362929
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Recommender System for Audio Recordings
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Zustand: New. Print on Demand pp. 84 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Bestandsnummer des Verkäufers 95115758
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Recommender System for Audio Recordings : A New Approach Devised for Recommendation of Audio Recording Items
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846519367
ISBN 13: 9783846519363
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays the largest E-commerce or E-service websites offer millions of products for sale. A Recommender system is defined as software used by such websites for recommending product items to users according to the users tastes. In this project, we develop a recommender system for a private multimedia web service company. In particular, we devise three recommendation engines using different data filtering methods named weighted-average, K-nearest neighbors, and item-based which are based on collaborative filtering techniques, which work by recording user preferences on items and by anticipating the future likes and dislikes of users by comparing the records, for prediction of user preference. To acquire proper input data for the three engines, we retrieve data from database using three data collection techniques: active filtering, passive filtering, and item-based filtering. For experimental purpose we compare prediction accuracy of those recommendation engines with the results from each engine and additionally we evaluate the performance of weighted-average method using an empirical analysis approach a methodology which was devised for verification of predictive accuracy. Bestandsnummer des Verkäufers 9783846519363
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Recommender System for Audio Recordings
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846519367
ISBN 13: 9783846519363
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Softcover
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lee Jong SeoJong Seo Lee is a software engineer in San Francisco Bay Area, USA. He graduated Cal Poly - San Luis Obispo with computer science Master s degree. His interest includes software engineering, DBMS, machine learning, data. Bestandsnummer des Verkäufers 5496243
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Recommender System for Audio Recordings
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Zustand: New. PRINT ON DEMAND pp. 84. Bestandsnummer des Verkäufers 1898362939
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Recommender System for Audio Recordings
Verlag:
LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3846519367
ISBN 13: 9783846519363
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nowadays the largest E-commerce or E-service websites offer millions of products for sale. A Recommender system is defined as software used by such websites for recommending product items to users according to the users' tastes. In this project, we develop a recommender system for a private multimedia web service company. In particular, we devise three recommendation engines using different data filtering methods - named weighted-average, K-nearest neighbors, and item-based - which are based on collaborative filtering techniques, which work by recording user preferences on items and by anticipating the future likes and dislikes of users by comparing the records, for prediction of user preference. To acquire proper input data for the three engines, we retrieve data from database using three data collection techniques: active filtering, passive filtering, and item-based filtering. For experimental purpose we compare prediction accuracy of those recommendation engines with the results from each engine and additionally we evaluate the performance of weighted-average method using an empirical analysis approach - a methodology which was devised for verification of predictive accuracy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Bestandsnummer des Verkäufers 9783846519363
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Recommender System for Audio Recordings | A New Approach Devised for Recommendation of Audio Recording Items
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3846519367
ISBN 13: 9783846519363
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Taschenbuch. Zustand: Neu. Recommender System for Audio Recordings | A New Approach Devised for Recommendation of Audio Recording Items | Jong Seo Lee (u. a.) | Taschenbuch | 84 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783846519363 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106768724
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Recommender System for Audio Recordings: A New Approach Devised for Recommendation of Audio Recording Items
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846519367
ISBN 13: 9783846519363
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Paperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Bestandsnummer des Verkäufers ERICA75838465193676
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