Liyi Zhang

A Framework for an Ontology-based E-commerce Product Information Retrieval System

With the rapid development of e-commerce, online shopping has become an important part in peoples lives, in order to support the smooth development of e-commerce activities, how to provide users with an efficient and practical product information search method has become an urgent and critical problem. This paper presents a framework for an ontology-based e-commerce product information retrieval system and proposes an ontology-based adaptation of the classical Vector Space Model with the consideration of the weight of product attribute. A computer and components related ontology has been built, which is adopted to annotate the html documents and construct concept vectors of the documents. Then the system test is done and the experimental result indicates that our proposal is better than the traditional keywords based search.

Ubiquitous Commerce: Theories, Technologies, and Applications

With the rapid development of ubiquitous computing and mobile communication technologies, the traditional business model will change drastically. As a logical extension of e-commerce and m-commerce, ubiquitous commerce (u-commerce) research and application are currently under transition with a history of numerous tried and failed solutions, and a future of promising but yet uncertain possibilities with potential new technology innovations. At this point of the development, we propose a suitable framework and organize the u-commerce research under the proposed classification scheme. The current situation outlined by the scheme has been addressed by exploratory and early phase studies. We hope the findings of this research will provide useful insights for anyone who is interested in u-commerce. The paper also provides some future directions for research.

A review for ubiquitous commerce research and application (2000-2009)

As the next generation of business model, ubiquitous commerce (u-commerce) triggered a lot of attention among the academic circle, enterprises and governmental agencies. We review the literature on u-commerce, and suggest directions for research in this still emerging field. The 171 papers about u-commerce (2000-2009) are classified and the results are presented based on a scheme that consists of three distinct layers: the theory layer, the technology layer and the application layer. The papers results could significantly help other researchers by providing a source of authoritative review and papers classified per subject and research method used.

A Semantic Service Oriented Architecture for Enterprise Application Integration

Although Service Oriented Architecture (SOA) goes a long way toward providing interoperability in distributed and heterogeneous environments for Enterprise Application Integration (EAI), managing semantic differences in such environments remains a challenge. This paper proposes a framework of semantic SOA for Enterprise Application Integration, and uses Web Service Modeling Ontology (WSMO) as its semantic service model. Last, we introduce a running example using semantic SOA for Enterprise Application Integration.

A Comparative Study of Environmental Impacts of Two Delivery Systems in the Business‐To‐Customer Book Retail Sector

China has the highest carbon dioxide (CO) emissions in the world. In China, logistics accounts for a significant portion of the total energy use and CO emissions in business‐to‐customer (B2C) retailing. This study focuses on the environmental impacts of B2C delivery in China, focusing on the book retail industry. Mathematical models are proposed based on the practical operations of the “e‐commerce networked delivery” (END) system and the “sustainable networked delivery” (SND) system. The energy consumption and CO emissions per book are then determined and compared for the two systems. Furthermore, we contrast the findings with those of similar studies conducted for other countries and provide explanations for the differences. The results show that (1) in general, in China, the SND system is better than the END system in terms of environmental impacts; (2) the END system in China generates fewer environmental impacts than those in the United States and the United Kingdom, while the SND system in China has greater environmental impacts than that in the United States; and (3) the wide use of vehicles such as electric bicycles that have low energy consumption rates contributes to the reduction of environmental impacts per book in both the END and SND systems in China. The limitations of the study and suggestions for future research are also discussed.

Information cascades in online reading: an empirical investigation of panel data

Purpose – The purpose of this paper is to examine information cascades in the context of users’ e-book reading behavior and differentiate it from alternative factors that lead to herd behavior, such as network externalities and word-of-mouth effects. Design/methodology/approach – This paper constructed panel data using information concerning 226 e-books in 30 consecutive days from Sina.com’s reading channel (Book.Sina.com.cn) from October 2, 2013, to October 31, 2013 of the same year in China. A multinomial logit market-share model was employed. Findings – E-books’ ranking has a significant impact on their market share, as predicted by informational cascades theory. Higher ranking e-books’ clicks will see a greater increase as a result of an increase in clicks ranking. Due to the information cascades effect, review volume had no impact on the market share of popular e-books. Total votes had a powerful impact on the market share of e-books, showing that once information cascade occurred, it could be enhanc...

Focused Crawling for Retrieving E-commerce Information Based on Learnable Ontology and Link Prediction

With the rapid growth of the E-commerce, how to discovery the specific information such as about buyer, seller and products etc. adapting for the online business user becomes a focused issue to the information search engine. Focused crawling is proposed to selectively seek out pages that are relevant to a predefined set of topics without downloading all of the Web. We present a novel approach for building an intelligent focused crawler which deals with evaluating the page’s content relevance to the E-commerce topic by the domain ontology and the hyperlinks connection to the commercial web pages by link analysis. In the process of crawling, the domain ontology can evolve automatically by machine learning based on the statistics and rules. Experiments have been performed, and the results show that our approach is more effective than the other traditional crawling algorithms, and prevents the topic-drift with higher harvest rate.

A Research of Taobao Cheater Detection

This paper focuses on Taobao cheater detection. At present the phenomenon of fake trading is widespread in Taobao, which makes it difficult for consumers to distinguish between true and fake product reviews. To solve this problem, we collect a total number of 50,285 historical review data from 100 cheaters and 100 real buyers to create a dataset. By using these data, we extract 8 features from three dimensions that are reviewer, commodity, and review. Then we use the SVM algorithm to construct the classification model and choose the RFB kernel function, which has a better performance to identify the cheater. The precision of the final classification model we built to identify the cheater reaches up to 89%. The experimental result shows that extracting features from the historical review data can recognize the cheaters effectively. It can be applied to the recognition of the cheaters in Taobao.

Research on the application of SNS in university libraries: A case study of microblogs in Chinese “211 Project” universities

Purpose This study aims to analyse the basic status of application of social networking sites (SNSs) in Chinese university libraries and explore the relationship between microblog and the output of scientific research achievements in universities. This study suggests methods for improving the efficiency of SNS use in university libraries and promotes scientific research achievements and social services in universities. Design/methodology/approach Online survey and statistical analysis were conducted to collect the number and types of SNSs used by 112 libraries in Chinese universities under the “211 project”. This study used microblog as an example and analysed the distribution of SNS use in different types of university libraries. Correlation analysis and multiple regression analysis were used to analyse the factors related to microblogs, such as number of followings, followers, posts and published articles. Findings SNSs changed the information utilization behaviour of users. Survey results show that an increasing number of university libraries are using SNSs. These sites are mainly microblogs and WeChat. The proportion of the number of SNSs applied by comprehensive universities and science and technology universities was higher than that of other types of universities. Results of multiple regression analysis using microblogs showed that the number of followers has a significantly positive effect on the number of published articles of the university. Research limitations/implications This study has three main limitations. First, data collection is incomplete, which easily causes the error of analysis results. Second, the overall status of SNS use in libraries is lacking in accurate understanding, which indicates limitations in terms of the analysis and conclusion. Finally, the research scope was narrow and only studied the situation of libraries using microblogs. Future research should focus on the data collection and sorting, make comparative studies of different periods of data, conduct cultural studies on the user usage perspective and conduct research on the application of different social network platforms in libraries. Practical implications The use of SNSs has brought new challenges and opportunities to university libraries because of rapid development of the internet and the scale of expansion microblogs. Moreover, microblogs have become an important platform of university libraries for self-promotion and marketing. This study proposes methods and measures for promoting the SNS popularity of university libraries, enhancing their content and increasing the role of SNSs in their interaction. Originality/value Statistical analysis was conducted to analyse the status of SNS use in university libraries and the data of SNS use in different types of universities. Effective measures were offered to address the issues found in the study. The results confirmed that the number of followers has a significantly positive effect on the number of published articles of the university, which could improve the enthusiasm of university libraries in using SNS, enhance the efficiency of information service and strengthen the use awareness of the teachers and students.

Influencing Factors of University Students’ Use of Social Network Sites: An Empirical Analysis in China

This paper explores the influencing factors of Chinese university students in accepting and using social networking sites (SNS) to propose measures and recommendations that can guide and help these students correctly use SNS. In addition, this paper aims to provide theoretical support in increasing user loyalty for the SNS service providers and attract new users. The correlation and multiple regression analyses showed that perceived value, enjoyment, and influence positively influence the intention of individuals to use SNS.