Company Recommendation for New Graduates via Implicit Feedback Multiple Matrix Factorization with Bayesian OptimizationCompany Recommendation for New Graduates via Implicit Feedback Multiple Matrix Factorization with Bayesian Optimization This document describes a method for recommending suitable companies to new graduates based on their browsing history and other data. It proposes using implicit matrix factorization of browsing data along with Bayesian optimization of hyperparameters to focus recommendations on l
実践機械学習 — MahoutとSolrを活用したレコメンデーションにおけるイノベーション - 2014/07/08 Hadoop Conference Japan 2014
