Online customer reviews of both products and merchants can greatly affect the readers' purchase decision making. Opinion spamming refers to the writing of fake reviews that try to deliberately mislead the reader by giving undeserved positive opinions or unjust or false negative opinions to promote or demote the target product. This paper focuses on analyzing spammer behaviors on a well-known Taiwan web forum, Mobile01. We explore the characteristics of the spam and the spammers operating within such a web forum to obtain some insights for future study.

In recent years, the evolution of information technologies has made lots of changes on human activities, such as working, playing, and learning. Furthermore, the learning environment has been changed. Most of the u-learning systems are implemented with RFID as the location-aware technology and some of them even do not provide collaborative instant support. In the study, we propose a collaborative ubiquitous learning platform (CULP) which uses low-cost cell phones with embedded cameras and Internet service to support ubiquitous learning. CULP is able to provide instant support for learners in the collaborative ubiquitous learning activity, that is, learners can receive help from right persons via the hints given by the learning system when encountering problems during their learning activities. Experimental results on a Personal Computer-Assembling course showed that, with the assistance of the new learning platform, the learning efficiency of the students was significantly improved, moreover, most of the students had positive attitude toward the use of CULP.

For teaching the computer architecture, especially in the course of "Introduction to the Computer Sciences", it is a good practice for a student to assemble and re-assemble a set of personal computer system by himself. We called the practice PC-DIY lab. In our experiences, most of the students like the PC-DIY lab very much since they can touch and see each components of a computer system and learn how to put them together correctly. However, it is unlikely to assign one teaching assistant for each student when the practice class is going on. It is usually the case that only one or two teaching assistants are available. Therefore, the students are usually not able to get prompt supports when they encounter some problems during the practice. To cope with this problem, a Collaborative Ubiquitous Learning Platform (CULP) is designed and developed for assisting the students during the PC-DIY lab.

The popularity regarding wireless communications is such that more and more WAP sites have been developed with wireless markup language (WML). Meanwhile, to translate hypertext markup language (HTML) pages into proper WML ones becomes imperative since it is difficult for WAP users to read most contents designed for PC users via their mobile phone screens. However, for those sites that have been maintained with hypertext markup language (HTML), considerable time and manpower costs will be incurred to rebuild them with WML. In this paper, we propose an intelligent WAP site management system to cope with these problems. With the help of the intelligent management system, the original contents of HTML Web sites can be automatically translated to proper WAP content in an efficient way. As a consequence, the costs associated with maintaining WAP sites could be significantly reduced. The management system also allows the system manager to define the relevance of numerals and keywords for removing unimportant or meaningless contents. The original contents will be reduced and reorganized to fit the size of mobile phone screens, thus reducing the communication cost and enhancing readability. Numerical results gained through various experiments have evinced the effective performance of the WAP management system.

The 2D string, proposed by Chang et al., is a spatial index structure which preserves the information of spatial relationships in a spatial database. In this paper, two new image retrieval algorithms for 2D string are proposed. The first one improves the retrieval efficiency, while the second reduces the space requirement. The performance analysis shows that the two methods perform much better than previous works especially when the spatial database is large.