Marco Rossetti

Building recommender systems for scholarly information

2017

The depth and breadth of research now being published is overwhelming for an individual researcher to keep track of let alone consume. Recommender systems have been developed to make it easier for researchers to discover …

Contrasting Offline and Online Results when Evaluating Recommendation Algorithms

2016

Most evaluations of novel algorithmic contributions assess their accuracy in predicting what was withheld in an offline evaluation scenario. However, several doubts have been raised that standard offline evaluation practices are not appropriate to select …