Collaborative Filtering (CF), one of the most successful technologies among recommender
systems, is a system assisting users to easily find useful information. One notable challenge …

The integrated energy system (IES) can improve energy efficiency and promote the use of
renewable energy. It is of great significance to find the optimal alternative from many IES …

Privacy-preserving collaborative filtering (PPCF) methods designate extremely beneficial
filtering skills without deeply jeopardizing privacy. However, they mostly suffer from …

Collaborative filtering (CF) systems use customers' preferences about various products to
offer recommendations. Providing accurate and reliable predictions is vital for both e …

Collaborative filtering (CF) is one of the most efficient techniques to produce personalized
recommendations and to deal with the information overload of modern times. Although CF …

The drastic increase of websites is one of the causes behind the recent information overload
on the internet. A recommender system (RS) has been developed for helping users filter …

Recommender systems rely on the opinions of a community of users to provide"
recommendations" that can help users of the same community in discerning content of …

We establish search algorithms from the area of propositional logic as invaluable tools for
the semantic knowledge acquisition in the conceptual database design phase. The …

When examining the ecological effects of climate change those databases which contain
monitoring results of long-term time series have a key role. We used the daily Lepidoptera …

Our method is presented with displaying time series, consisting of the daily amount of
precipitation of 100 years, which has meant a separate challenge, as the precipitation data …