Kaiquan Xu

Kaiquan Xu

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26
Publications
3,122
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991
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Introduction
Skills and Expertise

Publications

Publications (26)
Article
Full-text available
Social networking sites (SNS), which allow users to express opinions on products/services, have become an important channel and platform for enterprises to acquire and trace users’ sentiments in order to design appropriate business strategies and online marketing campaigns. However, with the large number of users and complex user relationships on S...
Article
Classical supervised machine learning techniques have been explored for semantically annotating unstructured textual data such as consumers' comments archived at social media websites to extract business intelligence. However, these techniques often require a large number of manually labeled training examples to produce accurate annotations. Severa...
Chapter
With the Web 2.0 paradigm, a huge volume of Web content is generated by users at online forums, wikis, blogs, and social networks, among others. These user-contributed contents include numerous user opinions regarding products, services, or political issues. Among these user opinions, certain comparison opinions exist, reflecting customer preferenc...
Article
With the growing popularity of group-buying websites, a plethora of group-buying options is available to consumers. Given this range of choices, information diffusion in group-buying can greatly influence consumers’ purchase decisions. Our study uses large-scale datasets from the top two group-buying websites in China, to explore the diffusion proc...
Article
With the tremendous popularity of social networking sites (SNS) in this era of Web 2.0, enterprises have begun to explore the feasibility of using SNS as platforms to conduct targeted marking and reputation management. Given huge number of users on SNS, how to choose appropriate users as the targets is the key for enterprises to conduct cost-effect...
Article
With the widespread usage of mobile terminals, the mobile recommender system is proposed to improve recommendation performance, using positioning technologies. However, due to restrictions of existing positioning technologies, mobile recommender systems are still not being applied to indoor shopping, which continues to be the main shopping mode. In...
Article
With the tremendous popularity of social networking sites in this era of Web 2.0, increasingly more users are contributing their comments and opinions about products, people, organizations, and many other entities. These online comments often have direct influence on consumers’ buying decisions and the public’s impressions of enterprises. As a resu...
Article
Decision tree (DT) is one of the most popular classification algorithms in data mining and machine learning. However, the performance of DT based credit scoring model is often relatively poorer than other techniques. This is mainly due to two reasons: DT is easily affected by (1) the noise data and (2) the redundant attributes of data under the cir...
Article
In the era of Web 2.0, huge volumes of consumer reviews are posted to the Internet every day. Manual approaches to detecting and analyzing fake reviews (i.e., spam) are not practical due to the problem of information overload. However, the design and development of automated methods of detecting fake reviews is a challenging research problem. The m...
Article
Before news is input into financial trading algorithms/models, it needs human judgements for exploring the market implications of news content, distinguishing significance extent of news, and finding out the impact of polar type of each kind of news on certain financial instrument trading activity. But Dawes and Faust (1989) reported that people us...
Article
Competitive Intelligence is one of the key factors for enterprise risk management and decision support. However, the functions of Competitive Intelligence are often greatly restricted by the lack of sufficient information sources about the competitors. With the emergence of Web 2.0, the large numbers of customer-generated product reviews often cont...
Conference Paper
Full-text available
Many information systems development companies are facing the question on how to apply agile methods in information systems maintenance (ISM). Performing correction of software defects in ISM inevitably degenerates program structure. On the other hand, agile methods provide refactoring to improve program structure without changing its behavior. Thi...
Conference Paper
With the increasing popularity of social networking sites and Web 2.0, people are building social relationships and expressing their opinions in the cyberspace. In this study, we introduce several novel methods to identify online communities with similar sentiments in online social networks. Our preliminary experiment on a real-world dataset demons...
Conference Paper
With the popularity of social networking sites (SNS) in this era of Web 2.0, increasingly more users are contributing their opinions about products and organizations. These online comments often have direct influence on consumers' buying decisions and the public's impressions of enterprises. As a result, enterprises have begun to use SNS to conduct...
Conference Paper
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 separate the untruthful reviews (i.e., spam) from the legitimate ones (i.e., ham) given the fact...
Article
The Chinese milk scandal 2008 revealed a serious problem in supply chain quality management practices. In this research, conceptual modeling approach is used to represent entities and relationships in this field. The model is expected to provide an innovative perspective to supply chain quality management. With it, intelligent system can be designe...
Article
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 lack of an effective computational methodology. Unlike other kinds of Web spam, untruthful re...
Conference Paper
Because of the sheer volume of consumer reviews posted to the Internet, a manual approach for the detection and analysis of fake reviews is not practical. However, automated detection of fake reviews is a very challenging research problem given the fact that fake reviews could just look like legitimate reviews. Guided by the design science research...
Conference Paper
With the Web 2.0 paradigm, users play the active roles in producing Web contents at online forums, wiki, blogs, social networks, etc. Among these users contributed contents, many of them are opinions about products, services, or political issues. Accordingly, extracting the comparative relations about products or services by means of opinion mining...
Conference Paper
As much valuable domain knowledge is hidden in enterprises' text repositories (e.g., email archives, digital libraries, etc.), it is desirable to develop effective knowledge management tools to process this unstructured data so as to extract domain knowledge for business decision making. Ontology-based semantic annotation of documents is one of the...
Conference Paper
Current existing work on mining text data for business intelligence is not enough for many business applications, which need to analyze text data at fine grained level. The semantic annotation technology offers such potential functions, but current methods always suffer from a serious problem: requiring large mount of semantically annotated trainin...
Conference Paper
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 as inputs. This paper proposes a SVM-struct based active learning algorithm for automatic seman...
Conference Paper
Ontology plays a crucial role in capturing and disseminating business information (e.g., products, services, relationships of businesses) for effective human computer interactions. However, manual construction of domain ontology is very labour intensive and time consuming. This paper illustrates a novel ontology population method for semi-automatic...
Article
To achieve the full potential of mobile commerce (m-Commerce), many problems need to be resolved, such as how to make m-Commerce seamlessly span wide areas with heterogeneous information sources; how to improve the matchmaking between user requirements and product specifications; and how to make m-Commerce systems more intelligent in taking differe...
Article
Full-text available
Acquiring accurate and timely market share information is very important for producers to arrange producing plan and design marketing strategy. However the high cost and long period of collecting survey data in survey-based method make it much difficult to easily get latest market shares data. Recently, the emerging online web systems provide users...

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