In this blog post we demonstrate how to generate a dataset for recommending Reddit posts based on semantic similarity. The Reddit API and the PRAW Python library are used to extract data from the AskScience subreddit. The posts are then analysed using LIP and built into a Chrome extension for searching similar content.
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.
A while back we partnered up with Blockspring to enable anyone to use our API without needing to write any code. They’ve created an awesome solution that allows you to make use of a range of great APIs using only a spreadsheet. This enables you to bring data into your spreadsheet, run text-analysis and much more. […]
Having recently released our TED talks demo we felt another interesting application would be the thoughts of one person. No one fits that description more than Maria Popova’s excellent collection of ideas on her Brain Pickings site. With thoughts on music to philosophy we felt it would be an excellent exploration of how our technology represents thoughts.