Pattern-based topic modelling and its application for information filtering and information retrieval

Gao, Yang (2015) Pattern-based topic modelling and its application for information filtering and information retrieval. PhD thesis, Queensland University of Technology.


This thesis targets on a challenging issue that is to enhance users' experience over massive and overloaded web information. The novel pattern-based topic model proposed in this thesis can generate high-quality multi-topic user interest models technically by incorporating statistical topic modelling and pattern mining. We have successfully applied the pattern-based topic model to both fields of information filtering and information retrieval. The success of the proposed model in finding the most relevant information to users mainly comes from its precisely semantic representations to represent documents and also accurate classification of the topics at both document level and collection level.

Impact and interest:

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256 since deposited on 16 Jun 2015
185 in the past twelve months

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ID Code: 83982
Item Type: QUT Thesis (PhD)
Supervisor: Xu, Yue & Li, Yuefeng
Keywords: Topic Modelling, Pattern Mining, User Interest Model, Document Relevance, Information Filtering, Information Retrieval
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 16 Jun 2015 03:53
Last Modified: 08 Sep 2015 05:57

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