Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recommendation systems changed the way websites interact with users. With the huge volume of information available online, users lose much time till they find what they are looking for using the traditional statistic searching algorithms. Recommendation systems provide an intelligent solution to save users time and predict right information users are seeking for. These systems rely on collaborative similarities in contents, users' behaviors and thinking. Various techniques and approaches can be adapt to develop recommendation systems as provided through this book. This book, has been divided into six chapters. Chapter on, introduction to recommendation systems and related problems. Chapter 2, background and literature review of different recommendation approaches. Chapter 3, suggested a technique for solving cold start problem comparing to adapted various methods. Chapter 4, collaborative filtering system based the active node technique method. Chapter 5, adapting semantic information to improve the efficiency of active node approach. Chapter 6, conclusions and future research. 296 pp. Englisch. Seller Inventory # 9783659842818
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Embarak OssamaDr. Ossama Embarak awarded his PhD. in CS from the University of Heriot-Watt in 2011, MSc. from the University of Cairo 2005, post Graduate Diploma in Cs, 2002, and BSc 1997 from the University of Cairo. Currently, he i. Seller Inventory # 151429319
Quantity: Over 20 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26404342812
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Web Recommendation System Structure | Web Personalisation | Ossama Embarak | Taschenbuch | Englisch | 2017 | Scholars' Press | EAN 9783659842818 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 113180307
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand. Seller Inventory # 409892803
Quantity: 4 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recommendation systems changed the way websites interact with users. With the huge volume of information available online, users lose much time till they find what they are looking for using the traditional statistic searching algorithms. Recommendation systems provide an intelligent solution to save users time and predict right information users are seeking for. These systems rely on collaborative similarities in contents, users' behaviors and thinking. Various techniques and approaches can be adapt to develop recommendation systems as provided through this book. This book, has been divided into six chapters. Chapter on, introduction to recommendation systems and related problems. Chapter 2, background and literature review of different recommendation approaches. Chapter 3, suggested a technique for solving cold start problem comparing to adapted various methods. Chapter 4, collaborative filtering system based the active node technique method. Chapter 5, adapting semantic information to improve the efficiency of active node approach. Chapter 6, conclusions and future research.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 296 pp. Englisch. Seller Inventory # 9783659842818
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recommendation systems changed the way websites interact with users. With the huge volume of information available online, users lose much time till they find what they are looking for using the traditional statistic searching algorithms. Recommendation systems provide an intelligent solution to save users time and predict right information users are seeking for. These systems rely on collaborative similarities in contents, users' behaviors and thinking. Various techniques and approaches can be adapt to develop recommendation systems as provided through this book. This book, has been divided into six chapters. Chapter on, introduction to recommendation systems and related problems. Chapter 2, background and literature review of different recommendation approaches. Chapter 3, suggested a technique for solving cold start problem comparing to adapted various methods. Chapter 4, collaborative filtering system based the active node technique method. Chapter 5, adapting semantic information to improve the efficiency of active node approach. Chapter 6, conclusions and future research. Seller Inventory # 9783659842818
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18404342806