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 Yue Xu

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Average citations per article0.50
Citation Count3
Publication count6
Publication years2012-2017
Available for download3
Average downloads per article78.33
Downloads (cumulative)235
Downloads (12 Months)222
Downloads (6 Weeks)80
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6 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
August 2017 WI '17: Proceedings of the International Conference on Web Intelligence
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 51,   Downloads (Overall): 51

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It is challenging to discover relevant features from long documents that describe user information needs due to the nature of text where synonymy, polysemy noise, and high dimensionality are inherited problems. Traditional feature selection methods could not effectively deal with these problems, because they assume that documents describe one topic ...
Keywords: latent dirichlet allocation, term weighting, extended random set, text mining, feature selection

2 published by ACM
August 2017 ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers and Special Issue: Data-driven Intelligence for Wireless Networking: Volume 9 Issue 1, October 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 74,   Downloads (12 Months): 168,   Downloads (Overall): 168

Full text available: PDFPDF
Topic modelling methods such as Latent Dirichlet Allocation (LDA) have been successfully applied to various fields, since these methods can effectively characterize document collections by using a mixture of semantically rich topics. So far, many models have been proposed. However, the existing models typically outperform on full analysis on the ...
Keywords: information filtering, topic components, Topic selection, topic evaluation

3
August 2014 WI-IAT '14: Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 02
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 3,   Downloads (Overall): 16

Full text available: PDFPDF
With the overwhelming increase in the amount of data on the web and data bases, many text mining techniques have been proposed for mining useful patterns in text documents. Extracting closed sequential patterns using the Pattern Taxonomy Model (PTM) is one of the pruning methods to remove noisy, inconsistent, and ...
Keywords: Specific Closed Sequential Patterns, Select top-k Patterns, Extended Random Set, Text mining, Information retrieval

4
November 2013 MDAI 2013: Proceedings of the 10th International Conference on Modeling Decisions for Artificial Intelligence - Volume 8234
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Although recommender systems and reputation systems have quite different theoretical and technical bases, both types of systems have the purpose of providing advice for decision making in e-commerce and online service environments. The similarity in purpose makes it natural to integrate both types of systems in order to produce better ...

5
July 2012 Web Intelligence and Agent Systems: Volume 10 Issue 3, July 2012
Publisher: IOS Press
Bibliometrics:
Citation Count: 0

Tags in Web 2.0 are becoming another important information source to profile users' interests and preferences to make personalized recommendations. To solve the problem of low information sharing caused by the free-style vocabulary of tags and the long tails of the distribution of tags and items, this paper proposes an ...
Keywords: Taxonomy, Web 2.0, Tags, User Profiling, Personalization, Recommender Systems

6
April 2012 Web Intelligence and Agent Systems: Volume 10 Issue 2, April 2012
Publisher: IOS Press
Bibliometrics:
Citation Count: 0

It is a big challenge to clearly identify the boundary between positive and negative streams. Several attempts have used negative feedback to solve this challenge; however, there are two issues for using negative relevance feedback to improve the effectiveness of information filtering. The first one is how to select constructive ...
Keywords: Information Retrieval, Pattern Mining, Text Mining, Information Filtering, Relevance Feedback



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