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The concept of reciprocal recommender is introduced to extend the traditional recommendation algorithm in a people-to-people recommender system where people are both the subjects and objects of the recommendation. In this paper, we designed and implemented a mobile reciprocal job recommender system, named iHR+. We first divided both the features of job seekers and jobs into two categories, one for...
The personalized recommender system is proposed to solve the problem of information overload and widely applied in many domains. The job recommender systems for job recruiting domain have emerged and enjoyed explosive growth in the last decades. User profiles and recommendation technologies in the job recommender system have gained attention and investigated in academia and implemented for some application...
For a long time, science visualization, also called graphic visualization has been widely used in the medical field. However, another kind of visualization, called information visualization or data visualization is playing a more and more important role in this field in recent years. This paper is to provide a solution to apply information visualization in telemedicine. Due to the unique data complexity...
Online shopping mall is emerging as a main marketing channel. The Web-based decision support system (DSS) in Web 2.0 is constructed to facilitate customers to share profiles and comments. Recommendation system is designed to cluster the customers and products respectively, and produce some association rules between customers and products. These have enabled the system to trigger consumer buying behavior...
The world-wide deployment of GIS in urban underground pipeline network (UPN) has led to a rapid growth in the amount of information. To improve the management and gather useful knowledge from the UPN's database more effectively, we integrate the UPN GIS system with data mining technology. In this paper, we study the spatial characteristics of UPN, analyze the basis of data warehouse-based data mining...
The large-scale sensor network is developing rapidly, thereby more and more efficient methods and algorithms for data management in sensor network are proposed. Traditional database technologies have been moved to this new area. The sensor network community also has developed various technologies for the specific network. This paper proposed a new research issue and method which provides a virtual...
Container loading problem is a kind of space resources optimization problem which consists of various constraints. The solution can be extended to aircraft, cargo loading for ships, even the memory allocation for computer, and other applications. This paper proposes a new algorithm for loading a variety of different goods into a single container with multi-batches. With the concept of "plane"...
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