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SeCoP 2017 : The 4th International Workshop on Semantic Computing and Personalization


When Mar 27, 2017 - Mar 30, 2017
Where Suzhou, China
Submission Deadline Dec 20, 2016
Notification Due Jan 3, 2017
Final Version Due Jan 10, 2017
Categories    personalization   semantic web   data mining   recommender systems

Call For Papers

The 4th International Workshop on Semantic Computing and Personalization (SeCoP)

Workshop Topics

As the development of World Wide Web, social networks, wikis and social tagging communities are becoming more and more popular. The above user-generated data gives a new ground to extend the focus of the Semantic Web by engaging it in other communities, where semantics can play an important role. Along with the interaction between users and computers, more and more personalized information are potentially mined from the Web by using semantic computing technology, such as ontology engineering for social network and personalization, mining user reviews, learners and courses modeling, user profiling in social network, sentiment analysis for user opinion mining and so on. Connecting semantic computing and personalized can enhance classic information management and retrieval approaches. It combines data mining with semantic computing as a promising direction and offers opportunities for developing novel algorithms and tools ranging from text and multimedia. In many scenarios of social networking, massive online open courses (MOOCs), social tags and wikis, semantic computing, personalization and recommendation are core functionalities.

The 4th International Workshop on Semantic Computing and Personalization (SeCoP) in conjunction with DASFAA 2017 will bring together the academia, researchers and industrial practitioners from computer science, information systems, psychology, behavior science and organization science discipline, and provide a forum for recent advances in the field of semantic computing and personalization, from the perspectives of information management and mining.

Topics of interest include, but are not limited to the exploitation of the Web of Data, the identification of semantics underlying social annotations of multimedia contents, and the application of semantic-based techniques and technologies in research fields related to (but not limited):

Content-based recommendation and collaborative filtering
Personalized content browsing and searching
Deep learning for semantic computing and personalization
Big data applications and systems
Community identification and exploitation
Social networks analysis for collaborative recommendation
User modeling based on social tagging information
Context-aware personalized information access and delivery
Mobile and ubiquitous multimedia content access and delivery
Sentiment analysis and opinion mining
Micro-blog and Review content mining and analysis
Personalized and context-aware ontology
E-learning systems and learner profiling
Massive online open courseware and content modeling

General Co-Chairs

Haoran Xie, The Education University of Hong Kong, Hong Kong
Fu Lee Wang, Caritas Institute of Higher Education, Hong Kong
Tak-Lam Wong, The Education University of Hong Kong, Hong Kong
Yi Cai, South China University of Technology, China

Organizing Co-Chairs

Wei Chen, Agricultural Information Institute of CAAS, China
Tianyong Hao, Guangdong University of Foreign Studies, China
Zhaoqing Pan, Nanjing University of Information Science and Technology, China

Publicity Co-Chairs

Xiaohui Tao, Southern Queensland University, Australia
Di Zou, The Hong Kong Polytechnic University, Hong Kong
Xudong Mao, City University of Hong Kong, Hong Kong
Yanghui Rao, Sun-Yet San University, China
Yunhui Zhuang, City University of Hong Kong, Hong Kong
Zhenguo Yang, Guangdong University of Technology, China

Potential PC Members

Zhiwen Yu, South China University of Technology
Jian Chen, South Chia University of Technology
Raymong Y. K. Lau, City University of Hong Kong
Rong Pan, Sun Yat-Sen University, China
Yunjun Gao, Zhejiang University
Shaojie Qiao, Southwest Jiaotong University
Jianke Zhu, Zhejiang University
Neil Y. Yen, University of Aizu, Japan
Derong Shen, Northeastern University
Jing Yang, Research Center on Fictitious Economy & Data Science CAS, China
Wen Wu, Hong Kong Baptist University, Hong Kong
Raymong Wong, Hong Kong University of Science and Technology, Hong Kong
Cui Wenjuan, China Academy of Sciences, China
Xiaodong Li, Hohai University, China
Xiangping Zhai, Nanjing University Of Aeronautics And Astronautics, China
Xu Wang, Shenzhen University, China
Ran Wang, Shenzhen University, China
Debby Dan Wang, Caritas Institute of Higher Education, Hong Kong
Jianming Lv, South China University of Technology, China
Tao Wang, The University of Southampton, UK
Guangliang Chen, TU Delft, The Netherland
Wenji Ma, Columbia University, USA
Kai Yang, South China University of Technology
Yun Ma, CIty University of Hong Kong, Hong Kong

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ACML 2017   The 9th Asian Conference on Machine Learning
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