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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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Abstract

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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ID Code: 48096
Item Type: Conference Paper
Keywords: Ontology mining, Search intent, LCSH, World knowledge
ISBN: 9781921426926
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 13:17
Last Modified: 25 Jan 2012 15:48

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