#Product recommender based on facebook api

I created this recommender system during my bachelorthesis. Implemented as Java Servlet

Requires

fbRecommenderProducts to connect to a product database
fbRecommenderDbIndexer in order to generate a lucene index on the product database .

UML Diagram:

Recommendation works in 4 Steps:

1.Tag extraction from Facebook profile .
2.Tag processing .  
3.Index lookup .
4.Recommendation post processing / ranking

The Recommender uses

Apache Lucene - to generate a index and search the product database .
GermaNet - a semantic network for the german language .
StanfordPosttagger - for part of speech tagging .

during the Recommendation Process