The Data Docs is Automattic's new home made data discoverability solution. It collects and publishes our datasets' metadata to WordPress so it is accessible and searchable by our users. Here we describe the idea from its conception and explain how it works.
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Improving Relevance and Elasticsearch Query Patterns
The WordPress.org plugin directory has been significantly rebuilt over the past year and should go live soon (test site). Many from across the WordPress community helped with this effort. I focused on improving plugin search relevancy. This was a great learning experience on how to build more relevant searches for a couple of reasons: There … Continue reading Improving Relevance and Elasticsearch Query Patterns
Intro to Search: Measurement
Welcome to the third part of our mini-series “Intro to Search.” In my previous posts, I’ve discussed the characteristics of great search results and what a search engine looks like from the inside. But, how do we know if our algorithms actually deliver relevant search results? The answer is, of course, by measurement! There is … Continue reading Intro to Search: Measurement
Intro to Search: Anatomy of a search engine
Welcome to the second post in our "Intro to Search"-series! Today, we'll dig into the building blocks of search engines to give you an idea of just how we identify what posts to show readers using WordPress.com's search tool. A (web) search engine connects users with relevant documents. This process generally has five main stages: … Continue reading Intro to Search: Anatomy of a search engine
Intro to Search: Initial Considerations
This post is the first in a series about what we learned from developing search products for WordPress.com. In this post, I’ll give you a brief tour of some learnings from deploying search in the WordPress.com Reader. Improving this search tool to help our users find engaging articles they really like is an effort, and an … Continue reading Intro to Search: Initial Considerations