A multi-collection latent topic model for federated search

Author:

Baillie Mark,Carman Mark,Crestani Fabio

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Information Systems

Reference37 articles.

1. Asuncion, A., Smyth, P., & Welling, M. (2008). Asynchronous distributed learning of topic models. In Neural information processing systems (NIPS’08) (pp. 81–88). Cambridge: MIT Press.

2. Avrahami, T. T, Yau, L., Si, L., & Callan, J. (2006). The fedlemur project: Federated search in the real world. Journal of the American Society for Information Science and Technology 57(3), 347–358.

3. Balog, K. (2008). The SIGIR 2008 workshop on future challenges in expertise retrieval (fCHER). SIGIR Forum 42(2), 46–52.

4. Bar-Yossef, Z., & Gurevich, M. (2006). Random sampling from a search engine’s index. In WWW’06: Proceedings of the 15th international conference on world wide web (pp. 367–376). New York: ACM.

5. Blei, D. M., & Lafferty, J. D. (2007). A correlated topic model of science. Annals of Applied Statistics 1, 17.

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