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Displaying 1-17 out of 17 total
A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce
Found in: IEEE Intelligent Systems
By Zan Huang, Daniel Zeng, Hsinchun Chen
Issue Date:September 2007
pp. 68-78
An evaluation of six recommendation algorithms on e-commerce-related data sets is an initial step toward a metalevel guideline for choosing the best algorithm for a given application with certain data characteristics. Two of the evaluated algorithms are th...
 
A Median Filter Based on Judging Impulse Noise by Statistic and Adaptive Threshold
Found in: Image and Signal Processing, Congress on
By Zan Huang
Issue Date:May 2008
pp. 207-210
In order to improve the performances of median filter, a median filter based on judging impulse noise by statistic and adaptive threshold is proposed. This method includes two steps of judging impulse noise pixels and restoring it. First judging impulse no...
 
Link prediction approach to collaborative filtering
Found in: Digital Libraries, Joint Conference on
By Hsinchun Chen, Xin Li, Zan Huang
Issue Date:June 2005
pp. 141-142
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most commonly-used and successful recommendation algorithms is collaborative filt...
 
Visualizing the Expertise Space
Found in: Hawaii International Conference on System Sciences
By Zan Huang, Hsinchun Chen, Fei Guo, Jennifer Jie Xu, Soushan Wu, Wun-Hwa Chen
Issue Date:January 2004
pp. 10038b
Expertise management systems are being widely adopted in organizations to manage tacit knowledge embedded in employees? heads. These systems have successfully applied many information technologies developed in fields such as information retrieval and docum...
   
Genescene: Biomedical Text And Data Mining
Found in: Digital Libraries, Joint Conference on
By Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Shauna Eggers, Ryan R. Falsey, Kerri L. Kislin, Zan Huang, Jiexun Li, Jie Xu, Daniel M. McDonald, Gavin Ng
Issue Date:May 2003
pp. 116
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from te...
 
Genescene: Biomedical Text And Data Mining
Found in: Digital Libraries, Joint Conference on
By Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Shauna Eggers, Ryan R. Falsey, Kerri L. Kislin, Zan Huang, Jiexun Li, Jie Xu, Daniel M. McDonald, Gavin Ng
Issue Date:May 2003
pp. 116
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from te...
 
EconPort: A Digital Library for Microeconomics Education
Found in: Digital Libraries, Joint Conference on
By Hsinchun Chen, Daniel Zeng, Riyad Kalla, Zan Huang, James C. Cox, J. Todd Swarthout
Issue Date:May 2003
pp. 388
We present the EconPort system (www.econport.org), a digital library for Microeconomics education that incorporates experimental economics software and automated e-commerce agents
   
NanoPort: An Example for Building Knowledge Portals for Scientific Domains
Found in: Digital Libraries, Joint Conference on
By Jialun Qin, Zan Huang, Yilu Zhou, Michael Chau, Chunju Tseng, Alan Yip, T. Gavin Ng, Fei Guo, Zhi-Kai Chen, Hsinchun Chen
Issue Date:May 2003
pp. 387
We describe the NanoPort (www.nanoport.org) system to demonstrate a general framework of building domainspecific knowledge portals. These portals consolidate diverse information resources and provide rich functionalities to support effective information re...
   
NanoPort: An Example for Building Knowledge Portals for Scientific Domains
Found in: Digital Libraries, Joint Conference on
By Jialun Qin, Zan Huang, Yilu Zhou, Michael Chau, Chunju Tseng, Alan Yip, T. Gavin Ng, Fei Guo, Zhi-Kai Chen, Hsinchun Chen
Issue Date:May 2003
pp. 387
We describe the NanoPort (www.nanoport.org) system to demonstrate a general framework of building domainspecific knowledge portals. These portals consolidate diverse information resources and provide rich functionalities to support effective information re...
   
CMedPort: A Cross-Regional Chinese Medical Portal
Found in: Digital Libraries, Joint Conference on
By Yilu Zhou, Jialun Qin, Hsinchun Chen, Zan Huang, Yiwen Zhang, Wingyan Chung, Gang Wang
Issue Date:May 2003
pp. 379
CMedPort is a cross-regional Chinese medical Web portal developed in the AI Lab at the University of Arizona. We will demonstrate the major system functionalities.
   
EconPort: A Digital Library for Microeconomics Education
Found in: Digital Libraries, Joint Conference on
By Hsinchun Chen, Daniel Zeng, Riyad Kalla, Zan Huang, James C. Cox, J. Todd Swarthout
Issue Date:May 2003
pp. 388
We present the EconPort system (www.econport.org), a digital library for Microeconomics education that incorporates experimental economics software and automated e-commerce agents
   
Genescene: Biomedical Text And Data Mining
Found in: Digital Libraries, Joint Conference on
By Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Shauna Eggers, Ryan R. Falsey, Kerri L. Kislin, Zan Huang, Jiexun Li, Jie Xu, Daniel M. McDonald, Gavin Ng
Issue Date:May 2003
pp. 116
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers with research findings and background relations automatically extracted from te...
 
Two New Prediction-Driven Approaches to Discrete Choice Prediction
Found in: ACM Transactions on Management Information Systems (TMIS)
By Dan Zhu, Huimin Zhao, Zan Huang
Issue Date:July 2012
pp. 1-32
The ability to predict consumer choices is essential in understanding the demand structure of products and services. Typical discrete choice models that are targeted at providing an understanding of the behavioral process leading to choice outcomes are dev...
     
Selectively acquiring ratings for product recommendation
Found in: Proceedings of the ninth international conference on Electronic commerce (ICEC '07)
By Zan Huang
Issue Date:August 2007
pp. 379-388
Accurate prediction of customer preferences on products is the key to any recommender systems to realize its promised strategic values such as improved customer satisfaction and therefore enhanced loyalty. In this paper, we propose proactively acquiring ra...
     
Link prediction approach to collaborative filtering
Found in: Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries (JCDL '05)
By Hsinchun Chen, Xin Li, Zan Huang
Issue Date:June 2005
pp. 141-142
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most commonly-used and successful recommendation algorithms is collaborative filt...
     
Teaching key topics in computer science and information systems through a web search engine project
Found in: Journal on Educational Resources in Computing (JERIC)
By Hsinchun Chen, Michael Chau, Zan Huang
Issue Date:September 2003
pp. 1-14
Advances in computer and Internet technologies have made it more and more important for information technology professionals to acquire experience in a variety of aspects, including new technologies, system integration, database administration, and project...
     
A graph-based recommender system for digital library
Found in: Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries (JCDL '02)
By Hsinchun Chen, Thian-Huat Ong, Wingyan Chung, Zan Huang
Issue Date:July 2002
pp. 65-73
Research shows that recommendations comprise a valuable service for users of a digital library [11]. While most existing recommender systems rely either on a content-based approach or a collaborative approach to make recommendations, there is potential to ...
     
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