Women take relatively longer time for shopping comparing with men. This paper presents a system for product retrieval and recommendation based on psychology of women’s shopping activity, and an implementation of the system for apparel products. This system supposes products which pre-defined keywords are assigned, and icons representing the combination of the keywords. It acts real shopping beh...

E-commerce websites have millions of product and billions of the reviews given by users on the products. The reviews are given by authentic and fake reviewers. If the customer read some reviews among them to check the quality of the product, he/she may get confuse. If customer gets bad quality product it get hearted and the image of the E-commerce site degrades. Another problem here is that the...

Model-Driven Software Development and Software Product Line Engineering are independent disciplines, which both promise less development effort and increased software quality. While Model-Driven Software Development relies on raising the level of abstraction and automatic code generation, Software Product Line Engineering is dedicated to planned reuse of software components based upon a common ...

Currently a new version of the distance education platform WeLearn [3] to be combined with an agent system ([1], also developed locally) for providing advanced services [2] is under development. In a previous stage of the project software was created to automatically derive keywords from documents, either from the different versions of metadata already contained (various Microsoft file formats,...

As our ability to store information increases, the mechanisms we employ to access that information become ever more important. In this paper, we present Archosum, a prototype of an organizational system that attempts to encapsulate the benefits of both hierarchical and keyword systems. By introducing abstract entities, Archosum provides a simple interface with which users can build and maintain...

ODUCTION ar sensors with dual-polarization capability etter understanding and characterization of hazards. Advanced knowledge-based hazard algorithms would require better knowledge of ttering characteristics of hydrometeors such as , hailstones, and snowflakes. Especially, characteristics becomes important for utilize phase-array dual-polarization radar Traditionally, theoretical approaches [1]...