Hi! We're launching a cutting-edge project based out of Montreal and New York, seeking to reinvent pagerank for the social web. We are building an infrastructure to rank content (information) and users as they relate to each-other individually and as part of the overall eco-system. We will be using massively distributed matrix math and considering utilizing mahout functionality to iterate towards a better ranking model. If you like working with very large data-sets, web algorithms and want to help with this challenge as a mathematician, scientist, student or developer please contact us at tho...@yatter.com for more information on the project. If you have any experience or insights into ranking systems and how setups like pagerank can be modded to accommodate two factors *content AND users* we'd love to chat.
Cheers
