recommender systems

Statistical methods for recommender systems

Location: Engineering Library- QA76.76.E95A395 2016




recommender systems

Effects of recommender systems in e-commerce vary by product attributes and review ratings

(Carnegie Mellon University) A new study sought to determine how the impact of recommender systems (also called recommenders) is affected by factors such as product type, attributes, and other sources of information about products on retailers' websites. The study found that recommenders increased the number of consumer views of product pages as well as the number of products consumers consider, but that the increase was moderated by product attributes and review ratings.




recommender systems

Machine learning with PySpark : with natural language processing and recommender systems [Electronic book] / Pramod Singh.

[Berkeley, CA] : Apress, [2019]