Extracting and Ranking Relevant Terms of Personalized Search Query

Author:

Lee Jung-Hun,Cheon Suh-Hyun

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Lee, J.-H., Cheon, S.-H.: A Term Weight Mensuration based on Popularity for Search Query Expansion. Journal of KIISE:Software and Applications 37(8), 620 (2010)

2. Anick, P.G., Vaithyanathan, S.: Exploiting Clustering and Phrases for Context-Based Information Retrieval. In: Proceeding of the 20th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, pp. 314–323 (1997)

3. Kristensen, J.: Expanding End-Users Query Statements for Free-text Searching with a Search-aid Thesaurus. Information Processing and Management 11, 22–33 (1968)

4. Wu, X., Kumar, V., Quinlan, J.R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G.J., Ng, A., Liu, B., Yu, P.S., et al.: Top 10 algorithms in data mining. Knowledge and Information Systems 14(1), 1–37, 10.1007/s10115-007-0114-2

5. Mount, D.: ANN:Library for Approximate Nearest Neighbor Searching (2006), http://www.cs.umd.edu/:mount/ANN/

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