If you’re interested in semantic recommenders, linked open data and music news recommendations, you should visit SERUM at the DAI-Labor booth at CeBIT 2011. SERUM (Semantic Recommendations based on Large Unstructured Datasets) is the project I’m currently working on. Main focus is to recommend news articles based on the previous reading behavior of a user.
You can find us here.
We also presented SERUM at WOMRAD 2010 – Workshop on Music Recommendation and Discovery, colocated with ACM RecSys 2010. If you’re interested in the paper – Adaptive Music News Recommendations based on Large Semantic Datasets