[PDF.84lb] Collaborative Filtering Recommender Systems (Foundations and Trends(r) in Human-Computer Interaction)

Collaborative Filtering Recommender Systems (Foundations and Trends(r) in Human-Computer Interaction)

[PDF.ga35] Collaborative Filtering Recommender Systems (Foundations and Trends(r) in Human-Computer Interaction)

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 | #7219385 in Books |  Now Publishers Inc |  2011-04-06 | Original language:English | PDF # 1 |  9.21 x.22 x6.14l,.35 | File type: PDF | 106 pages

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||About the Author|Konstan is co-founder of Net Perceptions, the leading real-time consumer marketing company on the Internet and winner of the MIT Sloan School's award for e-commerce technology. He is also associate professor of computer science and engineering a

Recommender systems are an important part of the information and e-commerce ecosystem. They represent a powerful method for enabling users to filter through large information and product spaces. Nearly two decades of research on collaborative filtering have led to a varied set of algorithms and a rich collection of tools for evaluating their performance. Research in the field is moving in the direction of a richer understanding of how recommender technology may be embedd...

You can specify the type of files you want, for your gadget.Collaborative Filtering Recommender Systems (Foundations and Trends(r) in Human-Computer Interaction)   |  Michael D. Ekstrand, John T. Riedl, Joseph A. Konstan.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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