Appendix C. Resources

The internet can provide more, and more recent, resources related to machine learning and Mahout than we can here. Search for collaborative filtering, clustering, classification, and other such topics in your favorite search engine. Or try research-specific search engines like Google Scholar (http://scholar.google.com).

In this appendix, we present classic papers and references that will be of interest to anyone looking to better understand the underpinnings of the content of Mahout and this book.

Sources

Anderson, M., M. Ball, H. Boley, S. Greene, N. Howse, D. Lemire, and S. McGrath. “RACOFI: A Rule-Applying Collaborative Filtering System.” Proceedings of COLA ‘03 (2003). www.daniellemire.com/fr/documents/publications/racofi_nrc.pdf.

Blei, D.M., A.Y. Ng, and M.I. Jordan. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 3 (2003): 993–1022. www.cs.princeton.edu/~blei/papers/BleiNgJordan2003.pdf.

Breese, J.S., D. Heckerman, and C. Kadie. “Empirical Analysis of Predictive Algorithms for Collaborative Filtering.” Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (1998). http://research.microsoft.com/research/pubs/view.aspx?tr_id=166.

Dunning, T. “Recorded Step Directional Mutation for Faster Convergence.” Computing Research Repository (2008): http://arxiv.org/abs/0803.3838.