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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|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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