Get Lanyrd on your mobile (iPhone, Android and more) - check it out here

Data Mining for Product Search Ranking

A session at Hadoop World 2011

How can you rank product search results when you have very little data about how past shoppers have interacted with the products? Through large scale analysis of its clickstream data, Etsy is automatically discovering product attributes (things like materials, prices, or text features) which signal that a search result is particularly relevant (or irrelevant) to a given query. This attribute-level approach makes it possible to appropriately rank products in search results- even if those products are brand new and one-of-a-kind. This presentation discusses Etsy’s efforts to predict relevance in product search, in which Hadoop is a central component.

About the speaker

This person is speaking at this event.
Aaron Beppu

I'm a software engineer. I like food and pictures of food. My raw denim doesn't have the contrasty honeycombs or whiskers I'd like. bio from Twitter

Sign in to add slides, notes or videos to this session

Tell your friends!

When

Time 4:30pm5:20pm EST

Date Tue 8th November 2011

Short URL

lanyrd.com/smcbh

View the schedule

See something wrong?

Report an issue with this session