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Displaying 1-12 out of 12 total
Leveraging User Interest to Improve Thread Recommendation in Online Forum
Found in: 2013 International Conference on Social Intelligence and Technology (SOCIETY)
By Xuning Tang,Mi Zhang,Christopher C. Yang
Issue Date:May 2013
pp. 11-19
Nowadays thread recommendation is considered to be beneficial to improve the end-user stickiness of an online forum. Given the fact of information overload and the diverse interests of forum users, a recommender system in online forum can satisfy not only ...
User Interest and Topic Detection for Personalized Recommendation
Found in: 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Xuning Tang,Mi Zhang,Christopher C. Yang
Issue Date:December 2012
pp. 442-446
Recommender system provides users with personalized suggestions of product or information. Typically, recommender systems rely on a bipartite graph model to capture user interest. As an extension, some boosted methods analyze content information to further...
Mapping the field of Bioinformatics with a content and co-authorship analysis
Found in: 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
By Min Song,Christopher C. Yang,Xuning Tang,Wook-Shin Han
Issue Date:October 2012
pp. 774-781
Bioinformatics is a fast-growing interdisciplinary research field that applies advanced computational techniques to biological data. Bibliometrics analysis has recently been adopted to understand the knowledge structure of a research field by citation patt...
An Exploratory Study of Enhancing Text Clustering with Auto-Generated Semantic Tags
Found in: 2012 Eighth International Conference on Semantics, Knowledge and Grids (SKG)
By Xuning Tang,Jiangbo Dang
Issue Date:October 2012
pp. 104-111
With the exponentially growing volume of digital documents and internet content, it becomes very challenging to locate right information when desired. We heavily rely on search engines but most existing search tools are key-word based and they often return...
Estimating User Influence in the MedHelp Social Network
Found in: IEEE Intelligent Systems
By Christopher C. Yang,Xuning Tang
Issue Date:September 2012
pp. 44-50
A method of identifying influential users in an online healthcare community incorporates users' message similarity and response immediacy.
SHB 2012: international workshop on smart health and wellbeing
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Carlo K. Combi, Christopher C. Yang, Howard Wactlar, Hsinchun Chen, Xuning Tang
Issue Date:October 2012
pp. 2762-2763
The Smart Health and Wellbeing workshop is organized to develop a platform for authors to discuss fundamental principles, algorithms or applications of intelligent data acquisition, processing and analysis of healthcare data. We are particularly interested...
TUT: a statistical model for detecting trends, topics and user interests in social media
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Christopher C. Yang, Xuning Tang
Issue Date:October 2012
pp. 972-981
The rapid development of online social media sites is accompanied by the generation of tremendous web contents. Web users are shifting from data consumers to data producers. As a result, topic detection and tracking without taking users' interests into acc...
Ranking User Influence in Healthcare Social Media
Found in: ACM Transactions on Intelligent Systems and Technology (TIST)
By Christopher C. Yang, Xuning Tang
Issue Date:September 2012
pp. 1-21
Due to the revolutionary development of Web 2.0 technology, individual users have become major contributors of Web content in online social media. In light of the growing activities, how to measure a user’s influence to other users in online social m...
Identifying implicit relationships between social media users to support social commerce
Found in: Proceedings of the 14th Annual International Conference on Electronic Commerce (ICEC '12)
By Christopher C. Yang, Haodong Yang, Ling Jiang, Xuning Tang
Issue Date:August 2012
pp. 41-47
The Internet is an ideal platform for business-to-consumer (B2C) and business-to-business (B2B) electronic commerce where businesses and consumers conduct commerce activities such as searching for consumer products, promoting business, managing supply chai...
Who will be participating next?: predicting the participation of Dark Web community
Found in: Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics (ISI-KDD '12)
By Christopher C. Yang, Mi Zhang, Xuning Tang
Issue Date:August 2012
pp. 1-7
Predicting whether a user will be participating in a thread has broad applications, such as thread recommendation and ranking. In an extremist forum, knowing which user will be interested to join a particular thread with sensitive or threatening informatio...
A content and social network approach of bibliometrics analysis across domains
Found in: Proceedings of the 2012 iConference (iConference '12)
By Christopher C. Yang, Xuning Tang
Issue Date:February 2012
pp. 515-517
Bibliometrics data contain rich co-authorship network, text and temporal information. In this work, we employ a hybrid approach that incorporating content and social network similarity to conduct a bibliometrics analysis across the information retrieval an...
Social networks integration and privacy preservation using subgraph generalization
Found in: Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics (CSI-KDD '09)
By Christopher C. Yang, Xuning Tang
Issue Date:June 2009
pp. 53-61
Intelligence and law enforcement force make use of terrorist and criminal social networks to support their investigations such as identifying suspects, terrorist or criminal subgroups, and their communication patterns. Social networks are valuable resource...