Company Recommendation for New Graduates via Implicit Feedback Multiple Matrix Factorization with Bayesian Optimization
Company 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
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Recruit's Artificial Intelligence Laboratory Releases BigGorilla: An Open-source Data Integration and Data Preparation Ecosystem
株式会社リクルート
