Hi guys, When trying to do a content-based recommender, there could be two approaches with Apache Mahout:
- Having a custom implemented Taste ItemSimilarity that is calculated with item features. - Classifying a data set with Mahout by representing items with vectors. Has anybody had the experience with comparing performance/accuracy of those? Thanks -- Marko Ćirić [email protected]
