Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation

142 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs (2017, methodology): “Matrix factorization techniques have been widely applied for recommender systems due to their accuracy and scalability [6, 16, 21, 35].”
Recipe recommendation using ingredient networks (2011, background): “Typically the goal has been to suggest recipes to users based on their past recipe ratings [5][15][3] or browsing/cooking history [16].”