In online digital library, it makes people be convenient to visit latest books or magazines via digitization. Online library becomes the platform for search and browse magazines. From smart key is how recommend interesting items from personalized preference according visiting history records, comments, discussions. This paper introduces user into recommendation system. Generally, if two users h...

Packaging design has a pronounced effect on consumer purchase behavior and can be critical factor in marketing. Despite the importance, there are very few studies that have investigated optimal designs. In this work, order to analyze packaging designs support designing processes, we propose deep learning based method with ensemble predict user preference for design. For qualitative analysis, vi...

The development of the Internet things brings exponential growth wireless traffic, which puts great pressure on backhaul link. proactive caching some contents in edge device mobile network can effectively reduce repeated transmission same and relieve burden Moreover, introduction recommendation mechanisms reshape user's request improve cache hit ratio. However, optimization decisions is highly ...

This paper studies a possibility to learn a complex user preference model, based on CP-nets, from user ratings. This work is motivated by the need of user modelling in decision making support, for example in e-commerce. We extend our user model based on fuzzy logic to capture variation of preference objectives. The proposed method 2CP-regression is described and tested. 2CPregression uses CP-ne...