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> Highly Recommended: Collaborative Filtering Gives Customers What They Want

商品編號: UV7839
出版日期: 2019/08/23
作者姓名:
Venkatesan, Rajkumar;Gibbs, Shea
商品類別: Marketing
商品規格: 11p

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商品敘述:

Netflix Top Picks, Amazon recommendations, the iTunes Genius button. They all have one thing in common: they are driven by clever algorithms that use a technique known as collaborative filtering. Often used in machine learning operations, collaborative filtering is the process by which a firm like Netflix generates predictions about a single user''s preferences using data taken from a large number of users. This technical note offers an overview of three of the main collaborative filtering methods: slope one, a purely predictive nonparametric model; ordinal logit, a parametric regression model; and alternative least squares, a matrix factorization technique.


涵蓋領域:

Analytics;Decision analysis;Market analysis;Marketing;Predictive analytics


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