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Machine Learning with Spark - Second Edition by Nick Pentreath, Manpreet Singh Ghotra, Rajdeep Dua

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Types of recommendation models

Recommender systems are widely studied, and there are many approaches used, but there are two that are probably most prevalent: content-based filtering and collaborative filtering. Recently, other approaches, such as ranking models, have also gained in popularity. In practice, many approaches are hybrids, incorporating elements of many different methods into a model or combination of models.

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