Query reformulation using automatically generated query concepts from a document space

Author:

Chang Youjin,Ounis Iadh,Kim Minkoo

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference32 articles.

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2. Bookman, L., & Woods, W. (2000). Linguistic knowledge can improve information retrieval. In Proceedings of applied natural language processing 2000, May 1–3, 2000 (pp. 1–9). Seattle, Washington, USA.

3. Chang, C., & Hsu, C. (1998). Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval. In Proceedings of the seventh international conference on World Wide Web 7 (pp. 621–623). Brisbane, Australia.

4. Chang, Y., Choi, I., Choi, J., Kim, M., & Raghavan, V. V. (2002). Conceptual retrieval based on feature clustering of documents. In Workshop on mathematical/formal methods in information retrieval at the 25th annual international ACM SIGIR conference on research and development in IR (pp. 89–104). Tampere, Finland.

5. Chang, Y., Kim, M., & Ounis, I. (2004). Construction of query concepts in a document space based on data mining techniques. In Proceedings of the 6th International Conference On Flexible Query Answering Systems (FQAS 2004), Lecture Notes in Artificial Intelligence, June 24–26 2004, (pp.137–149). Lyon, France.

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