Cross-Platform client libraries for working with recommendations in the OpenRecommender XML or JSON formats are available in the following languages (all implementations are distributed under Apache 2 license, unless otherwise noted):

The first demo of the Recommendation Engine widget is available as a preview here:

It is currently used for recommending user-generated content (videos) on a small test video sharing community dataset with 2000 videos and 500 users, a modest testbed for an ambitious project, but we believe our unique multi-faceted approach to recommendations will scale to much larger systems and datasets in the future.

OpenRecommender may be used for any purposes, with the exception of performing illegal or unlawful activities.

For specific details on licensing, please check one of the following:

1. Specification
2. Software
3. Content

Specification

The OpenRecommender data specification is licensed via:

The following is the approximate Roadmap for development of OpenRecommender (with release dates in brackets):

1. Schemas (COMPLETED: 2011-01-26)

• XML Schema
• JSON Schema
• RDF Schema

2. Semantics (COMPLETED: 2011-11-11)

FINAL DRAFT

Imagine a world where we didn’t have to go looking for what we wanted to see (in other words, where we were able to "discover" new things that we didn’t yet know we wanted to see, but end up loving the new things and learning or gaining a new interest). Such is the premise of the OpenRecommender project, suggesting a recommendation-based solution to the growing information problem.

In order to accomplish this vision, we will be releasing a number of technologies and related data exchange formats which we hope the open source developer community will incorporate into their existing applications, whenever they have a need to work with or serve up recommendations to their users.

Welcome to the new home of OpenRecommender, an initiative to create the world's leading open source Recommendation Engine.