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Kennys Bookstore, Olney, MD, U.S.A.
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Num Pages: 256 pages, black & white illustrations. BIC Classification: UNH; UYQE. Category: (P) Professional & Vocational. Dimension: 166 x 242 x 24. Weight in Grams: 530. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9781848217683
Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the customer relationship, with the main objective to maximize potential sales.
On the transdisciplinary approach, engines and recommender systems brings together contributions linking information science and communications, marketing, sociology, mathematics and computing. It deals with the understanding of the underlying models for recommender systems and describes their historical perspective. It also analyzes their development in the content offerings and assesses their impact on user behavior.
About the Author:
Lecturer at the GERiiCO laboratory at University Lille 3, Gerald Kembellec specializes in information science and communication.
Professor of Documentary Engineering Chair of CNAM, Ghislaine Chartron is director of the National Institute of Science and Technical documentation.
Professor at the University Paris 8, Imad Saleh is the Paragraph laboratory director and director of the graduate school Cognition Language Interaction.
Title: Recommender Systems
Publisher: ISTE Ltd and John Wiley & Sons Inc
Publication Date: 2014
Binding: Hardcover
Condition: New
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 21782593-n
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9781848217683
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the customer relationship, with the main objective to maximize potential sales. On the transdisciplinary approach, engines and recommender systems brings together contributions linking information science and communications, marketing, sociology, mathematics and computing. It deals with the understanding of the underlying models for recommender systems and describes their historical perspective. It also analyzes their development in the content offerings and assesses their impact on user behavior. Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781848217683
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 21782593
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 21782593
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies.Inhaltsverzeichnis1 General Introduction to recommender systems 2 uses to ana. Seller Inventory # 448372939
Quantity: Over 20 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781848217683
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 556. Seller Inventory # B9781848217683
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