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Genetic algorithms: Theory, genetic operators, solutions, and applications
A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …
biological processes of reproduction of the fittest individual. GA is one of the most popular …
Evolutionary computing in recommender systems: a review of recent research
One of the main current applications of intelligent systems is recommender systems (RS).
RS can help users to find relevant items in huge information spaces in a personalized way …
RS can help users to find relevant items in huge information spaces in a personalized way …
An improved collaborative movie recommendation system using computational intelligence
Z Wang, X Yu, N Feng, Z Wang - Journal of Visual Languages & Computing, 2014 - Elsevier
Recommendation systems have become prevalent in recent years as they dealing with the
information overload problem by suggesting users the most relevant products from a …
information overload problem by suggesting users the most relevant products from a …
[HTML][HTML] An effective collaborative movie recommender system with cuckoo search
Recommender systems are information filtering tools that aspire to predict the rating for
users and items, predominantly from big data to recommend their likes. Movie …
users and items, predominantly from big data to recommend their likes. Movie …
The state-of-the-art in expert recommendation systems
The recent rapid growth of the Internet content has led to building recommendation systems
that guide users to their needs through an information retrieving process. An expert …
that guide users to their needs through an information retrieving process. An expert …
Recommender systems in cybersecurity
With the growth of CyberTerrorism, enterprises worldwide have been struggling to stop
intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the …
intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the …
A comparison of clustering-based privacy-preserving collaborative filtering schemes
Privacy-preserving collaborative filtering (PPCF) methods designate extremely beneficial
filtering skills without deeply jeopardizing privacy. However, they mostly suffer from …
filtering skills without deeply jeopardizing privacy. However, they mostly suffer from …
A multi-criteria recommendation system using dimensionality reduction and Neuro-Fuzzy techniques
Multi-criteria collaborative filtering (MC-CF) presents a possibility to provide accurate
recommendations by considering the user preferences in multiple aspects of items …
recommendations by considering the user preferences in multiple aspects of items …
[HTML][HTML] Movie recommender systems: Concepts, methods, challenges, and future directions
Movie recommender systems are meant to give suggestions to the users based on the
features they love the most. A highly performing movie recommendation will suggest movies …
features they love the most. A highly performing movie recommendation will suggest movies …
A Multi-Criteria Collaborative Filtering Recommender System Using Clustering and Regression Techniques.
Abstract Traditional Collaborative Filtering (CF) recommender systems recommend the
items to users based on their single ratings which are used to match similar users. In multi …
items to users based on their single ratings which are used to match similar users. In multi …