Publisher
Springer Berlin Heidelberg
Reference63 articles.
1. Amati, G., & van Rijsbergen, C. J. (2002). Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Transactions on Information Systems, 20(4), 357–389.
2. Berger, A., & Lafferty, J. (1999). Information retrieval as statistical translation. In Proc. 22nd ann. intl. ACM SIGIR conf. on research and development in information retrieval (pp. 222–229).
3. Blei, D., Griffiths, T., Jordan, M., & Tenenbaum, J. (2003a). Hierarchical topic models and the nested Chinese restaurant process. In Proc. 16th conf. of advances in neural information processing systems.
4. Blei, D., Ng, A., & Jordan, M. (2003b). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.
5. Büttcher, S., Clarke, C. L. A., & Lushman, B. (2006a). Term proximity scoring for ad-hoc retrieval on very large text collections. In Proc. 29th ann. intl. ACM SIGIR conf. on research and development in information retrieval (pp. 621–622).