We have many different ways of delivering the Lateral API to clients who would like to install it in their own environment. One of those is as an Azure VHD for deployment to Azure VMs. In this post I will cover how to create a VHD that is fully compatible with Azure from an Ubuntu Cloud Image base.
A technique we use to visualise how Lateral recommendations would look and work on a website is to create a Chrome extension that inserts the recommendations at load time. In this blog post, I will create a Chrome extension that modifies this blog to set a custom background and to modify the HTML.
Give me five is an open source Chrome extension that allows you to recommend the content you push to Lateral based on the content of the page you’re currently visiting. It’s the same code base that the NewsBot Chrome extension is built upon.
We recently had to migrate our multiple PostgreSQL databases between cloud providers. We wanted to keep downtime to an absolute minimum. This is what we did using Londiste.
Creating a similar content recommender for all the abstracts of this year’s EMNLP 2015 Conference in Lisbon using Lateral’s machine learning API.
Today we are pleased to announce the release of our Article Extractor API! When recommending content it’s important to ensure you are only recommending for the relevant text of an article. We have often faced this challenge with online articles and blogs. We’d want to fetch a URL but just extract the main body of […]
We recently wrote about what our NewsBot Chrome extension does today I’m going to add to that and explain how it works behind the scenes. When building this project we approached it as if we were a user of the Lateral API to see what we could build.
Today I am going to talk about API documentation tools. Specifically the ones we use at Lateral to create our documentation. Now, I understand if you aren’t enthused by API documentation, I get that. But a lot of people are. I am. People who make APIs are. So maybe you should be too. You don’t want to be left behind not knowing what’s possible with today’s advanced API tools. What would you talk about at conferences? It’d be terrible. Imagine. You’d have no idea. Anyway. Here we go.
At Lateral we use PostgreSQL to store documents for our visualiser. Each document consists of a text column and a JSON column with meta data inside such as a title, date and URL. We wanted to create a fast search experience for the visualiser that lets you search the full text of documents as well as their titles to quickly find a document to get Lateral recommendations for.