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 ...Cały opis
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.
SZEROKI WYBÓR
Oferujemy ponad milion pozycji anglojęzycznych – od literatury pięknej po specjalistyczną .
DARMOWA WYSYŁKA
Darmowa wysyłka do Paczkomatu od 299 zł.
ATRAKCYJNE CENY
Staramy się by ceny książek były na jak najniższym poziomie, zawsze poniżej ceny zalecanej przez wydawcę. Wszystko po to, by każdy mógł sobie pozwolić na zakup.
14 DNI NA ZWROT
Zakupione u nas książki możesz zwrócić do 14 dni, bez podawania powodów. Wystarczy nas o tym poinformować drogą e-mailową i odesłać książki pod nasz adres, a my zwrócimy pieniądze.