Abstract
In this paper, we propose a frequent pattern mining technique for ranking webpages based on topics. This technique shows search results according to selected topics in order to give users exact and meaningful information, where we use an indexer with the frequent pattern mining technique to comprehend webpages’ topics. After mining frequent patterns related to topics (i.e. frequent topics) in collected webpages, the indexer compares new webpages with the generated patterns and calculates degree of topic proximity to rank the new ones, where we also propose a special tree structure, named RP-tree, to compare the new webpages to the frequent patterns. Since our technique reflects topic proximity scores to ranking scores, it can preferentially show webpages which users want.
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References
Pyun G, Yun U (2011) Efficient food retrieval techniques considering relative frequencies of food related words. Lect note Comput Sci 368–375
Chen KY, Wang HM, Chen B (2012) Spoken document retrieval leveraging unsupervised and supervised topic modeling techniques. IEICE Trans 1195–1205
Andrzejewski D, Buttler D (2011) Latent topic feedback for information retrieval. Knowl Discovery Data Min 600–608
Han J, Pei J, Yin Y, Mao R (2004) Mining frequent patterns without candidate generation: a frequent pattern tree approach. DMKD 8(1):53–87
Donald M (2008) Generalized inverse document frequency. Paper presented at conference on information and knowledge management, pp 399–408
Charles S (2005) A dictionary of food: international food and cooking terms from A to Z, 2nd edn. A&C Black Publishers Ltd
Kato MP, Ohshima H, Tanaka K (2012) Content-based retrieval for heterogeneous domains: domain adaptation by relative aggregation points. Paper presented at ACM SIGIR conference on Research and development in information retrieval, pp 811–820
Croft WB, Metzler D, Strohman T (2010) Search engines: information retrieval in practice. Addison-Wesley, Boston
Acknowledgment
This research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF No. 2012-0003740 and 2012-0000478).
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© 2013 Springer Science+Business Media Dordrecht(Outside the USA)
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Pyun, G., Yun, U. (2013). A Frequent Pattern Mining Technique for Ranking Webpages Based on Topics. In: Park, J., Ng, JY., Jeong, HY., Waluyo, B. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 240. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6738-6_15
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DOI: https://doi.org/10.1007/978-94-007-6738-6_15
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