Applying Feed-Forward Neural Networks to Collaborative Filtering ?

Neural networks have been applied to an entire plethora of learning tasks, such as text recognition, credit rating analysis and predic- tion, and so forth. Surprisingly, there have never been proposals suggest- ing their usage for collaborative filtering (CF) scenarios. The objective of this diploma/master's thesis is to close that gap by virtue of (i) conceiv- ing and applying neural network models to suit CF problems and (ii) evaluating their fitness with respect to benchmark approaches, taking into the eect of diverse tuning parameters.