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Books > Computing & IT > Applications of computing > Artificial intelligence
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Recommender Systems - An Introduction (Hardcover)
Loot Price: R2,177
Discovery Miles 21 770
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Recommender Systems - An Introduction (Hardcover)
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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.
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