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Etat : Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Etat : good. Signs of wear and consistent use.

Etat : Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. pp. 68.

Paperback. Etat : Brand New. 59 pages. 9.00x6.00x0.25 inches. In Stock.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. pp. 352.

Etat : New.

Hardback. Etat : New. In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems.…

Etat : New. pp. 352 14:B&W 6 x 9 in or 229 x 152 mm Case Laminate on White w/Gloss Lam.

Etat : As New. Unread book in perfect condition.

Etat : New. pp. 352.

Hardcover. Etat : Brand New. 1st edition. 360 pages. 9.00x6.10x1.00 inches. In Stock.

Hardcover. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardback. Etat : New. In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems.…

Tankobon Hardcover. Etat : Brand New. Japanese language. 8.82x5.98x0.94 inches. In Stock.

Taschenbuch. Etat : Sehr gut. 144 Seiten Aufl. 2013 - Leichte äußere Mängel - Buch ist als Mängelexemplar gekennzeichnet - Buch ansonsten in sehr gutem und ungelesenem Zustand - Jeder Lieferung liegt eine ordentliche Rechnung mit ausgewiesener MwSt. bei Sprache: Deutsch Gewicht in Gramm: 460.

paperback. Etat : New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2013-06-01 Pages: 244 Language: Chinese Publisher: People Post Press recommendation system fully expounded develop the most advanced method of recommender systems . which presents a number of classic algorithms . and discusses how to measure recommended effectiveness of the system . The book is divided into the basic concepts and the latest developments in two parts : the former involves collaborative recommendation . content-based recommendations . knowledge-based recomm.Four Satisfaction guaranteed,or money back.…

Softcover. Etat : gut. Münchner Skitouren-Schmankerl 52 Genusstouren von den Allgäuer bis zu den Kitzbüheler Alpen In deutscher Sprache. pages.

Hardback. Etat : New. 20.

Hardback. Etat : New. 20.

Etat : New. Print on Demand pp. 68 9 Illus.

Etat : New. PRINT ON DEMAND pp. 68.