This page generates recommendations for developers and technologies

The 200 most popular users were obtained, and for each user, his tags with name and frequency were fetched. This data is used as preference values for collaborative filtering. By giving in input a set of tags, it is possible to calculate the most similar users and tags.

Click on a tag: