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postgraduate thesis: Top-k SAS : on reliable retrieval of top-k tags

TitleTop-k SAS : on reliable retrieval of top-k tags
Authors
Advisors
Advisor(s):Cheng, CK
Issue Date2017
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Xu, Y. [徐勇]. (2017). Top-k SAS : on reliable retrieval of top-k tags. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
Abstractabove method is quite challenging. To address this problem, we propose a learning-based method which applies machine learning models to estimate whether the k most frequent tags are qualified to be the top-k tags. Experiment on the same datasets demonstrate that the learning-based method achieves comparable performance while overcoming the difficulty of setting proper parameter in previous method.
DegreeMaster of Philosophy
SubjectData mining
Dept/ProgramComputer Science
Persistent Identifierhttp://hdl.handle.net/10722/244320

 

DC FieldValueLanguage
dc.contributor.advisorCheng, CK-
dc.contributor.authorXu, Yong-
dc.contributor.author徐勇-
dc.date.accessioned2017-09-14T04:42:18Z-
dc.date.available2017-09-14T04:42:18Z-
dc.date.issued2017-
dc.identifier.citationXu, Y. [徐勇]. (2017). Top-k SAS : on reliable retrieval of top-k tags. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/244320-
dc.description.abstractabove method is quite challenging. To address this problem, we propose a learning-based method which applies machine learning models to estimate whether the k most frequent tags are qualified to be the top-k tags. Experiment on the same datasets demonstrate that the learning-based method achieves comparable performance while overcoming the difficulty of setting proper parameter in previous method.-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshData mining-
dc.titleTop-k SAS : on reliable retrieval of top-k tags-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Philosophy-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineComputer Science-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2017-
dc.identifier.mmsid991043953696703414-

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