Method and device for teaching machine learning algorithm (MLA) to create content recommendations in a recommendation system and method and device for creating recommended content using machine learning algorithm

摘要

A method of training machine learning algorithm for selecting recommended content for a user of an electronic device is provided. The method is executable by a recommendation server accessible by the electronic device via a communication network, the recommendation server executing the machine learning algorithm, once trained. The method comprises: acquiring an indication of a plurality of user-item interactions, each user-item interaction being associated with a user and a digital item; based on the plurality of user-item interactions, generating a matrix of user-item relevance scores; factorizing the matrix of user-item relevance scores into a user matrix and an item matrix, said factorizing including: initializing the item matrix using item vectors, the item vectors having been generated such that digital items with similar content have similar item vectors, initializing the user matrix with user-vectors; iteratively optimizing of the user matrix and the item matrix; storing the optimized item matrix.