- Nachiketa Sahoo, R. Krishnan, G. Duncan, Jamie Callan. 2006. Collaborative Filtering with Multi-component Rating for Recommender Systems. Abstract: The dependency structure among the component ratings is discovered and incorporated into a mixture model. The parameters of the model were estimated using the Expectation Maximization algorithm. The algorithm was evaluated using data collected from Yahoo Movies. It was found that using multiple components leads to improved recommendations over using only one component when small amount of training data is used. However, when we have enough training data no gain from using additional components of the ratings was observed.
