Long-Term Learning for Web Search Engines

Author:

Kemp Charles,Ramamohanarao Kotagiri

Publisher

Springer Berlin Heidelberg

Reference24 articles.

1. Vo Ngoc Anh and Alistair Moffat. Improved retrieval effectiveness through impact transformation. In Proceedings of the Thirteenth Australasian Database Conference, Melbourne, Australia, in press.

2. Doug Beeferman and Adam Berger. Agglomerative clustering of a search engine query log. In Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining, pages 407–416, Boston, 2000. ACM Press.

3. Richard K. Belew. Adaptive information retrieval: Using a connectionist representation to retrieve and learn about documents. In Proceedings of the Twelfth International Conference on Research and Development in Information Retrieval, pages 11–20, Cambridge, MA, 1989. ACM Press.

4. Justin Boyan, Dayne Freitag, and Thorsten Joachims. A machine learning architecture for optimizing web search engines. In Proceedings of the AAAI Workshop on Internet-Based Information Systems. 1996.

5. T. Brauen. Document vector modification. In Gerard Salton, editor, The SMART Retrieval System: Experiments in Automatic Document Processing, pages 456–484. Prentice Hall, NJ, 1971.

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