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Contributions

This paper has three primary research contributions:

1.
Analysis of the item-based prediction algorithms and identification of different ways to implement its subtasks.
2.
Formulation of a precomputed model of item similarity to increase the online scalability of item-based recommendations.
3.
An experimental comparison of the quality of several different item-based algorithms to the classic user-based (nearest neighbor) algorithms.



Badrul M. Sarwar
2001-02-19