A Scalable Collaborative Filtering Framework based on Co-clustering Thomas George and Srujana Merugu   View Paper (PDF)   Return to Session 5: Clustering Schemes II Abstract that involves simultaneous clustering of users and items. We design incremental and parallel versions of the co-clustering algorithm and use it to build an efficient real-time CF framework. Empirical evaluation demonstrates that our approach provides an accuracy comparable to that of the correlation and matrix factorization based approaches at a much lower computational cost. ©2006 Association for Computing Machinery