An ontology-based mining approach for user search intent discovery
Shen, Yan, Li, Yuefeng, Xu, Yue, Iannella, Renato, Algarni, Abdulmohsen, & Tao, Xiaohui (2011) An ontology-based mining approach for user search intent discovery. In Cunningham, Sally Jo, Scholer, Falk, & Thomas, Paul (Eds.) ADCS 2011 : Proceedings of the Sixteenth Australasian Document Computing Symposium, Australian National University, Canberra, pp. 39-46.
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Discovering proper search intents is a vi- tal process to return desired results. It is constantly a hot research topic regarding information retrieval in recent years. Existing methods are mainly limited by utilizing context-based mining, query expansion, and user profiling techniques, which are still suffering from the issue of ambiguity in search queries. In this pa- per, we introduce a novel ontology-based approach in terms of a world knowledge base in order to construct personalized ontologies for identifying adequate con- cept levels for matching user search intents. An iter- ative mining algorithm is designed for evaluating po- tential intents level by level until meeting the best re- sult. The propose-to-attempt approach is evaluated in a large volume RCV1 data set, and experimental results indicate a distinct improvement on top precision after compared with baseline models.
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|Item Type:||Conference Paper|
|Keywords:||Ontology mining, Search intent, LCSH, World knowledge|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500) > Web Technologies (excl. Web Search) (080505)
|Divisions:||Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
|Copyright Owner:||Copyright 2011 The Authors.|
|Deposited On:||17 Jan 2012 03:17|
|Last Modified:||19 Jan 2015 01:47|
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An Ontology-based mining approach for user search intent discovery. (deposited 16 Jan 2012 21:48)
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