As ubiquitous commerce using IT convergence technologies is coming, it is important for the
strategy of cosmetic sales to investigate the sensibility and the degree of preference in the …

Collaborative filtering systems based on a matrix are effective in recommending items to
users. However, these systems suffer from the fact that they decrease the accuracy of …

The personalized recommendation system is required to save efforts in searching the items
in ubiquitous commerce, it is very important for a recommendation system to predict …

초 록사용자간 유사도에 의한 협업 필터링에서 추천 품질이 안정적인 상태에 이르기
위해서는많은 이웃들이 필요하다. 이것은 높은 사용자간 유사도가 제품에 대한 동일한 …

Memory-based collaborative filtering selects the top-k neighbors with high rank similarity in
order to predict a rating for an item that the target user has not yet experienced. The most …

In modern society, the amount of information has significantly increased due to the
development of the Internet and IT convergence technology. This leads to developing …

The paper proposes a system for recognizing numeric strings from topographical maps,
which is composed of an automatic recognition stage and an interactive recognition stage. In …

As the increasing numbers of various multi-functional Cloud services are rapidly evolving in
the Cloud market, how to recommend ideal multi-functional services becomes a great …

The development of computer and information technology has been combined with the
information superhighway internet infrastructure, so information widely spreads not only in …