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Zhi-Peng Zhang, Yasuo Kudo, Tetsuya Murai and Yong-Gong Ren
Recommender system (RS) can be used to provide personalized recommendations based on the different tastes of users. Item-based collaborative filtering (IBCF) has been successfully applied to modern RSs because of its excellent performance, but it is susc...
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Nina Kuchuk, Roman Artiukh, Artem Nechausov
Pág. 62 - 69
The subject matter of the article is semantic networks of distributed search in e-learning. The goal is to synthesize a decision tree and a stratified semantic network that allows network intelligent agents in the e-learning to construct inference mechan...
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Rodica Boier
The paper starts from the observation that students often experience difficulties in identifying the complete set of aspects involved in making product decisions, but also in understanding the correlations established between these elements. The review o...
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Angeliki Kitsiou, Eleni Tzortzaki, Christos Kalloniatis and Stefanos Gritzalis
Social Networks (SNs) bring new types of privacy risks threats for users; which developers should be aware of when designing respective services. Aiming at safeguarding users? privacy more effectively within SNs, self-adaptive privacy preserving schemes ...
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Valentin Filatov, Stanislav Doskalenko
Pág. 54 - 58
The subject matter of the study is information systems built on the basis of relational databases. The goal of the article is to develop a method for re-engineering relational databases that takes into account implicit interrelated functionally dependent...
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