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Displaying 1-25 out of 25 total
Latent Business Networks Mining: A Probabilistic Generative Model
Found in: 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Wenping Zhang,Raymond Y.K. Lau,Yunqing Xia,Chunping Li,Wenjie Maggie Li
Issue Date:December 2012
pp. 558-562
Though numerous research has been devoted to social network discovery and analysis, relatively little research has been conducted on business network discovery. The main contribution of our research is the development of a novel probabilistic generative mo...
 
Learning Domain-Specific Sentiment Lexicons for Predicting Product Sales
Found in: E-Business Engineering, IEEE International Conference on
By Raymond Y.K. Lau,Wenping Zhang,Peter D. Bruza,K.F. Wong
Issue Date:October 2011
pp. 131-138
Generic sentiment lexicons have been widely used for sentiment analysis these days. However, manually constructing sentiment lexicons is very time-consuming and it may not be feasible for certain application domains where annotation expertise is not availa...
 
High-Order Concept Associations Mining and Inferential Language Modeling for Online Review Spam Detection
Found in: Data Mining Workshops, International Conference on
By C.L. Lai, K.Q. Xu, Raymond Y.K. Lau, Yuefeng Li, Dawei Song
Issue Date:December 2010
pp. 1120-1127
Despite many incidents about fake online consumer reviews have been reported, very few studies have been conducted to date to examine the trustworthiness of online consumer reviews. One of the reasons is the lack of an effective computational method to sep...
 
Toward a Language Modeling Approach for Consumer Review Spam Detection
Found in: E-Business Engineering, IEEE International Conference on
By C.L. Lai, K.Q. Xu, Raymond Y.K. Lau, Y. Li, L. Jing
Issue Date:November 2010
pp. 1-8
Numerous reports have indicated the severity of fake reviews (i.e., spam) posted to various e-Commerce or opinion sharing Web sites. Nevertheless, very few studies have been conducted to examine the trustworthiness of online consumer reviews because of the...
 
Podcasting: An Internet-Based Social Technology for Blended Learning
Found in: IEEE Internet Computing
By Raymond Y.K. Lau, Rachael Kwai Fun Ip, M.T. Chan, Ron Chi-Wai Kwok, Sharon W.M. Wong, Johnny C.F. So, Eva Y.W. Wong
Issue Date:May 2010
pp. 33-41
Podcasting has the potential to enhance learning by giving students mobile access to course materials anytime, anywhere. In particular, integrating podcasting, electronic learning (e-learning), and traditional face-to-face teaching into a blended learning ...
 
Ontological User Profiling and Language Modeling for Personalized Information Services
Found in: E-Business Engineering, IEEE International Conference on
By C.F. So, Chapmann C.L. Lai, Raymond Y.K. Lau
Issue Date:October 2009
pp. 559-564
With the explosive growth of the information and services deployed to the Web, there is a pressing need to develop an effective service for personalized services discovery and recommendation. Despite personalized services discovery methods have been studie...
 
Leveraging the web context for context-sensitive opinion mining
Found in: Computer Science and Information Technology, International Conference on
By Raymond Y.K. Lau,C.L. Lai,Yuefeng Li
Issue Date:August 2009
pp. 467-471
Existing automated opinion mining methods either employ a static lexicon-based approach or a supervised learning approach. Nevertheless, the former method often fails to identify context-sensitive semantics of the opinion words, and the latter approach req...
 
Towards a SVM-struct Based Active Learning Algorithm for Least Cost Semantic Annotation
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Kaiquan Xu, Raymond Y.K. Lau, Stephen Shaoyi Liao, Lejian Liao
Issue Date:December 2008
pp. 111-114
The recent growing interests in Semantic Web trigger the requirements of annotating various information objects (e.g., documents) on the Web. The main drawback of the existing methods is that they usually require many manually annotated training examples a...
 
Two-Stage Model for Information Filtering
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Xujuan Zhou, Yuefeng Li, Peter Bruza, Yue Xu, Raymond Y.K. Lau
Issue Date:December 2008
pp. 685-689
This thesis presents a novel two-stage model that integrates the theories and techniques from the fields of information retrieval/filtering (IR/IF)and the fields of machine learning and data mining to provide more precise document filtering and retrieval. ...
 
A Wiki Service for Investment Knowledge Management
Found in: E-Business Engineering, IEEE International Conference on
By C.F. So, K.S. Wong, K.F. Fung, S.Y. Ho, C.L. Lai, Raymond Y.K. Lau
Issue Date:October 2008
pp. 681-686
There are many methodologies and theories developed for financial investment analysis. Nevertheless, financial analysts tend to adopt their proprietary models and systems to carry out financial investment analysis in practice. To advance both theories and ...
 
Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning
Found in: IEEE Transactions on Knowledge and Data Engineering
By Raymond Y.K. Lau, Dawei Song, Yuefeng Li, Terence C.H. Cheung, Jin-Xing Hao
Issue Date:June 2009
pp. 800-813
With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, it is q...
 
Using Information Filtering in Web Data Mining Process
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Xujuan Zhou, Yuefeng Li, Peter Bruza, Sheng-Tang Wu, Yue Xu, Raymond Y.K. Lau
Issue Date:November 2007
pp. 163-169
The amount of Web information is growing rapidly, improving the efficiency and accuracy of Web information retrieval is uphill battle. There are two fundamental issues regarding the effectiveness of Web information gathering: information mismatch and overl...
 
Mining Fuzzy Domain Ontology from Textual Databases
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Raymond Y.K. Lau, Yuefeng Li, Yue Xu
Issue Date:November 2007
pp. 156-162
Ontology plays an essential role in the formalization of common information (e.g., products, services, relationships of businesses) for effective human-computer interactions. However, engineering of these ontologies turns out to be very labor intensive and...
 
Toward An On-Demand Option Rating Service for e-Business
Found in: E-Business Engineering, IEEE International Conference on
By Raymond Y.K. Lau, K-S Wong, K-F Fung, S-Y Ho
Issue Date:October 2007
pp. 414-417
With the fast-growing financial markets in Hong Kong and mainland China, corporate or individual investors have to make many important financial investment decisions on a daily basis. To make proper investment decisions, investors usually need to collect a...
 
Towards Context-Sensitive Domain Ontology Extraction
Found in: Hawaii International Conference on System Sciences
By Raymond Y.K. Lau, Jin Xing Hao, Maolin Tang, Xujuan Zhou
Issue Date:January 2007
pp. 60b
Although there has been a surge of interest in applying domain ontologies to facilitate communications among computers and human users, engineering of these ontologies turns out to be very labor intensive and time consuming. Recently, some learning methods...
   
Mining Negotiation Knowledge for Adaptive Negotiation Agents in e-Marketplaces
Found in: Hawaii International Conference on System Sciences
By Raymond Y.K. Lau, On Wong
Issue Date:January 2007
pp. 47a
By increasing the degree and sophistication of automation, e-marketplaces will become much more efficient and transparent, and hence more widely adopted by organizations. Negotiation is one of main activities conducted in e-marketplaces, and adaptive negot...
   
Answering Typicality Query Based on Automatically Prototype Construction
Found in: 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Yi Cai,Hongke Zhao,Hao Han,Raymond Y.K. Lau,Ho-Fung Leung,Huaqing Min
Issue Date:December 2012
pp. 362-366
In cognitive psychology, typicality refers to the degree of goodness of objects as exemplars in concepts. In this paper, we apply the idea of typicality analysis from cognitive psychology to query answering, and propose a novel method to answer typicality ...
 
Toward a semantic granularity model for domain-specific information retrieval
Found in: ACM Transactions on Information Systems (TOIS)
By Dawei Song, Jian Ma, Jian Ma, Raymond Y.K. Lau, Raymond Y.K. Lau, Xin Yan, Xin Yan, Xue Li, Xue Li
Issue Date:July 2011
pp. 1-46
Both similarity-based and popularity-based document ranking functions have been successfully applied to information retrieval (IR) in general. However, the dimension of semantic granularity also should be considered for effective retrieval. In this article...
     
Ontology-Based Specific and Exhaustive User Profiles for Constraint Information Fusion for Multi-agents
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Xiaohui Tao, Yuefeng Li, Raymond Y.K. Lau, Shlomo Geva
Issue Date:September 2010
pp. 264-271
Intelligent agents are an advanced technology utilized in Web Intelligence. When searching information from a distributed Web environment, information is retrieved by multi-agents on the client site and fused on the broker site. The current information fus...
 
Context Sensitive Text Mining and Belief Revision for Adaptive Information Retrieval
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Raymond Y.K. Lau
Issue Date:October 2003
pp. 256
Autonomous information agents alleviate the information overload problem on the Internet. The AGM belief revision framework provides a rigorous foundation to develop adaptive information agents. The expressive power of the belief revision logic allow a use...
 
Belief Revision for Adaptive Negotiation Agents
Found in: Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
By Raymond Y.K. Lau, Brant Essam, Siu Y. Chan, Zi Huang
Issue Date:October 2003
pp. 196
Existing negotiation agents are primitive in terms of what they can learn and how responsive they are towards the changing negotiation contexts. These weakness can be alleviated if an expressive representation language is used to represent negotiation cont...
 
Rough sets based reasoning and pattern mining for a two-stage information filtering system
Found in: Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM '10)
By Peter David Bruza, Raymond Y.K. Lau, Xujuan Zhou, Yue Xu, Yuefeng Li
Issue Date:October 2010
pp. 1429-1432
This paper presents a novel two-stage information filtering model which combines the merits of term-based and pattern- based approaches to effectively filter sheer volume of infor- mation. In particular, the first filtering stage is supported by a novel ro...
     
An effective model of using negative relevance feedback for information filtering
Found in: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09)
By Abdulmohsen Algarni, Raymond Y.K. Lau, Yue Xu, Yuefeng Li
Issue Date:November 2009
pp. 1605-1608
Over the years, people have often held the hypothesis that negative feedback should be very useful for largely improving the performance of information filtering systems; however, we have not obtained very effective models to support this hypothesis. This ...
     
A two-stage text mining model for information filtering
Found in: Proceeding of the 17th ACM conference on Information and knowledge mining (CIKM '08)
By Peter Bruza, Raymond Y.K. Lau, Xujuan Zhou, Yue Xu, Yuefeng Li
Issue Date:October 2008
pp. 1001-1001
Mismatch and overload are the two fundamental issues regarding the effectiveness of information filtering. Both term-based and pattern (phrase) based approaches have been employed to address these issues. However, they all suffer from some limitations with...
     
Belief revision for adaptive information retrieval
Found in: Proceedings of the 27th annual international conference on Research and development in information retrieval (SIGIR '04)
By Dawei Song, Peter D. Bruza, Raymond Y.K. Lau
Issue Date:July 2004
pp. 130-137
Applying Belief Revision logic to model adaptive information retrieval is appealing since it provides a rigorous theoretical foundation to model partiality and uncertainty inherent in any information retrieval (IR) processes. In particular, a retrieval con...
     
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