aisky

<h2 id="papers">
<a class="header-anchor-link" href="#papers" aria-hidden="true"></a> Papers</h2>
<ul>
<li><a href="https://www.cin.ufpe.br/~idal/rs/Amazon-Recommendations.pdf" target="_blank" rel="nofollow noopener noreferrer">Amazon.com Recommendations</a></li>
<li><a href="https://datajobs.com/data-science-repo/Recommender-Systems-%5BNetflix%5D.pdf" target="_blank" rel="nofollow noopener noreferrer">Matrix Factorization Techniques for Recommender Systems</a></li>
<li><a href="https://arxiv.org/pdf/1205.2618.pdf" target="_blank" rel="nofollow noopener noreferrer">BPR: Bayesian Personalized Ranking from Implicit Feedback</a></li>
<li><a href="http://ilpubs.stanford.edu:8090/422/1/1999-66.pdf" target="_blank" rel="nofollow noopener noreferrer">The PageRank Citation Ranking: Bringing Order to the Web</a></li>
</ul>
<h2 id="others">
<a class="header-anchor-link" href="#others" aria-hidden="true"></a> Others</h2>
<ul>
<li><a href="https://towardsdatascience.com/introduction-to-recommender-systems-6c66cf15ada" target="_blank" rel="nofollow noopener noreferrer">Introduction to recommender systems</a></li>
<li><a href="https://www.jstage.jst.go.jp/article/jjsai/34/3/34_292/_article/-char/ja/" target="_blank" rel="nofollow noopener noreferrer">商品推薦システム — E-Commerce サービスでの推薦システムの活用—</a></li>
</ul>
