METHOD AND SYSTEM FOR KNOWLEDGE DISTILLATION TECHNIQUE IN MULTIPLE CLASS COLLABORATIVE FILTERING ENVIRONMENT

A recommendation method performed by a recommendation system in a multiple-class collaborative filtering environment includes learning pre-use preference and post-use preference by a plurality of teachers; selecting items to be transferred to a student model by predicting pre-use preference for items unobserved by a user based on the learned pre-use preference; determining a soft label based on post-use preference, which is predicted for the selected items based on the learned post-use preference; and transferring the determined soft label to the student model as distilled knowledge, and recommending, by the student model, items having high pre-use preference and high post-use preference based on the received distilled knowledge.