Igniting Node.js Flames
“Simple things bring infinite pleasure. Yet, it takes us a while to realize that. But once simple is in, complex it out – forever.” ― Joan F. Marques Now that I have your attention, let me clear up the word “flames.” The flames that I’m referring to have nothing to do with fire. All I am talking about is performance tools in Node.js. When it comes to performance, everyone thinks of fighting fires,
Fast Approximate Logarithms, Part I: The Basics
Performance profiling of some of the eBay code base showed the logarithm (log) function to be consuming more CPU than expected. The implementation of log in modern math libraries is an ingenious wonder, efficiently computing a value that is correct down to the last bit. But for many applications, you’d be perfectly happy with an approximate logarithm, accurate to (say) 10 bits, especially if it we
Click Modeling for eCommerce
Historical user click patterns on search result pages are considered a great resource for algorithms that attempt to learn to rank search results. This ranking method is a well-studied problem in the field of Information Retrieval (IR). See Mike Mathiesonʼs excellent blog post, Using Behavioral Data to Improve Search, for more background on this subject. If learn-to-rank algorithms could explicitl
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
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
