Research on diversity and accuracy of the recommendation system based on multi-objective optimization
T Ma, X Wang, F Zhou, S Wang - Neural Computing and Applications, 2023 - Springer
As the information industry and the Internet develop rapidly, the use of big data enters
people's vision and attracts attention. It makes the recommendation system come into being …
people's vision and attracts attention. It makes the recommendation system come into being …
An effective content boosted collaborative filtering for movie recommendation systems using density based clustering with artificial flora optimization algorithm
J Parthasarathy, RB Kalivaradhan - International Journal of System …, 2021 - Springer
Recommender systems (RS) are information filtering approaches that intend to foresee the
rating for customers and products, mainly from big data for recommending their likes. Movie …
rating for customers and products, mainly from big data for recommending their likes. Movie …
Hybrid Recommendation Using Temporal Data for Accuracy Improvement in Item Recommendation
D Parasuraman, S Elumalai - Journal of Information and Organizational …, 2021 - hrcak.srce.hr
Sažetak Recommender systems have become a vital entity to the business world in form of
software tools to make decisions. It estimates the overloaded information and provides the …
software tools to make decisions. It estimates the overloaded information and provides the …
Improving the accuracy of item recommendations by combining collaborative and content-based recommendations: a hybrid approach
D Parasuraman, S Elumalai - International Journal of …, 2021 - inderscienceonline.com
Recommender systems facilitate the users by providing the ample information of the items or
the products they are interested. Users would not be aware of item details without the help of …
the products they are interested. Users would not be aware of item details without the help of …