References

Bengio, Y., R. Ducharme, P. Vincent and C. Jauvin, 2003. A neural probabilistic language model. J. Mach. Learn. Res., 3: 1137-1155.
Direct Link  |  

Charlin, L. and R.S. Zemel, 2013. The Toronto paper matching system: An automated paper-reviewer assignment system. Proceedings of the 30th International Conference on Machine Learning ICML'13 Vol. 28, June 16-21, 2013, Atlanta, Georgia, USA., pp: 1-9.

Li, B. and Y.T. Hou, 2016. The new automated IEEE INFOCOM review assignment system. IEEE. Network, 30: 18-24.
CrossRef  |  Direct Link  |  

Long, C., R.C.W. Wong, Y. Peng and L. Ye, 2013. On good and fair paper-reviewer assignment. Proceedings of the 13th International Conference on Data Mining, December 7-10, 2013, IEEE, Dallas, Texas, USA, ISBN:978-0-7695-5108-1, pp: 1145-1150.

Manning, C.D., P. Raghavan and H. Schutze, 2008. An Introduction to Information Retrieval. Cambridge University Press, Cambridge, UK., ISBN-13: 9780521865715, pp: 482.

Taylor, C.J., 2008. On the optimal assignment of conference papers to reviewers. MSc Thesis, University of Pennsylvania, USA.

Zhang, W., T. Yoshida and X. Tang, 2011. A comparative study of TF*IDF, LSI and multi-words for text classification Expert Syst. Applic., 38: 2758-2765.
CrossRef  |  Direct Link  |