David Goldberg

Algorithms based on machine learning, deep learning, and AI are in the news these days.

Before demonstrating the claims made in Part I and Part II on this topic, let me mention two simple facts about integer solutions to .

The method of my first post is too slow to find the side lengths for a triangle of area , which has many digits:

Usually my posts have a connection to eBay, but this time I’m writing about a recreational math problem that caught my attention.

In a post from February, I sang the praises of Empirical Bayes, and showed how eBay uses it to judge the popularity of an item.

Complex systems can fail in many ways and I find it useful to divide failures into two classes.

In this post I finally get to the punch line and construct a set of approximations to (actually ) that cover a range of speeds and accuracies.

In Part I, I assumed all computations were done exactly.

Performance profiling of some of the eBay code base showed the logarithm (log) function to be consuming more CPU than expected.

Empirical Bayes is a statistical technique that is both powerful and easy to use.

This is a post about how to rank search results, specifically the list of items you get after doing a search on eBay.

In the first part of this blog posting, I talked about how to estimate a buyer’s propensity to purchase an auction over a fixed price item.

In this blog post and a succeeding one, I will discuss personalization at eBay.

You often hear that the difference between eBay and other e-Commerce sites is that eBay sells items, other sites sell products.