9786202668460 - introduction to recommenders system: brief discussion on analysis, design and evolution de vekariya, vipul manasukhbhai; kulkarni, gopal ramchandra (9 resultados)
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Introduction To Recommenders System | Brief discussion on Analysis, Design And Evolution | Vipul Manasukhbhai Vekariya (u. a.) | Taschenbuch | 88 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202668460 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 228…48 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recommender systems can now be found in many modern applications that expose the user to a huge collection of items. Such systems typically provide the user with a list of recommended items they might prefer, or predict how much the…y might prefer each item. These systems help users to decide on appropriate items, and ease the task of finding preferred items in the collection.For example, the DVD rental provider Netflix displays predicted ratings for every displayed movie in order to help the user decide which movie to rent. The online book retailer Amazon provides average user ratings for displayed books, and a list of other books that are bought by users who buy a specific book. Microsoft provides many free download for users, such as bug fixes, products and so forth. When a user downloads some software, the system presents a list of additional items that are downloaded together. All these systems are typically categorized as recommender systems, even though they provide diverse services. 88 pp. Englisch.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vekariya Vipul Manasukhbhai1. DR. Vekariya Vipul Manasukhbhai, Ph.D. ( C.E.), is having 15+ years of experience in Engineering Education Field. Presently associated with Faculty of Engineering, Noble Gr…oup of Institutions,Junagadh (G.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recommender systems can now be found in many modern applications that expose the user to a huge collection of items. Such systems typically provide the user with a list of recommended items they might prefer, or predict how much they mi…ght prefer each item. These systems help users to decide on appropriate items, and ease the task of finding preferred items in the collection.For example, the DVD rental provider Netflix displays predicted ratings for every displayed movie in order to help the user decide which movie to rent. The online book retailer Amazon provides average user ratings for displayed books, and a list of other books that are bought by users who buy a specific book. Microsoft provides many free download for users, such as bug fixes, products and so forth. When a user downloads some software, the system presents a list of additional items that are downloaded together. All these systems are typically categorized as recommender systems, even though they provide diverse services.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recommender systems can now be found in many modern applications that expose the user to a huge collection of items. Such systems typically provide the user with a list of recommended items they might prefer, or predict how much they mig…ht prefer each item. These systems help users to decide on appropriate items, and ease the task of finding preferred items in the collection.For example, the DVD rental provider Netflix displays predicted ratings for every displayed movie in order to help the user decide which movie to rent. The online book retailer Amazon provides average user ratings for displayed books, and a list of other books that are bought by users who buy a specific book. Microsoft provides many free download for users, such as bug fixes, products and so forth. When a user downloads some software, the system presents a list of additional items that are downloaded together. All these systems are typically categorized as recommender systems, even though they provide diverse services.
