A Retrieval Sorting Approach for Online Forums Based on Domain Topics

Yu Yan Zhang

doi:10.4028/www.scientific.net/AMR.756-759.2152

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759A Retrieval Sorting Approach for Online Forums...

A Retrieval Sorting Approach for Online Forums Based on Domain Topics

Abstract:

Topical search engine is an extension of general-purpose search engines, which has become an important research subject in Web information retrieval recently. Focusing on the development of Web 2.0 applications, a result ranking approach is proposed on the basis of LDA model to rank the search results from Web forums. Compared with traditional methods, this approach takes up less storage space, and can more quickly and accurately respond to user inquiries. This work has important significance for the research of improving the performance of retrieval results of web forums.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

2152-2156

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.2152

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Online since:

September 2013

Authors:

Yu Yan Zhang

Keywords:

Information Retrieval, Retrieval Sorting, Text Classification, Topic Detection

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References

[1] X. Han, J. Ma. Hot Research Topic Extraction in Digital Libraries,. Journal of Computational Information Systems, Vol. 6, No. 3, 2009. pp.318-325.

Google Scholar

[2] Z. Chen, J. Ma, X. Han. An Effective Relevance Prediction Algorithm Based on Hierarchical Taxonomy for Focused Crawling,. Proceedings of the 2008 Asia Information Retrieval Symposium, Springer LNCS. Vol. 4993. 2008, pp.613-619.

DOI: 10.1007/978-3-540-68636-1_72

Google Scholar

[3] Y. Li, J. Ma, Y. Sun. Applying Dewey Encoding to Construct XML Index for Path and Keyword Query,. Proceedings of 2009 International Workshop on Database Technology and Applications, 2009, pp.553-556.

DOI: 10.1109/dbta.2009.129

Google Scholar

[4] D. Blei, A. Ng, and M. Jordan. Latent Dirichlet Allocation,. Journal of Machine Learning Research, Vol. 9, No. 3: 2003. p.993–1022.

Google Scholar

[5] L. Song, J. Ma, J. Lei. A Semantic Method of Deep Web Classification,. Journal of Information & Computational Science, Vol. 5, No. 5, Nov. 2008, p.2017-(2025).

Google Scholar

[6] X. Wei, and W. B. Croft. LDA-based document models for ad-hoc retrieval,. Proceedings of the 29th SIGIR Conference, 2006, pp.178-185.

DOI: 10.1145/1148170.1148204

Google Scholar

[7] J. Koehler, R. Hauser, S. Kapoor, F.Y. Wu, S. Kumaran, A model-driven transformation method,. Proceedings of Seventh IEEE International conference on Enterprise Distributed Object Computing, IEEE Computer Society, 2003, pp.186-197.

DOI: 10.1109/edoc.2003.1233848

Google Scholar