Enhancing Sequence Movie Recommendation System Using Deep Learning and KMeans von Siet, Sophort, Peng, Sony, Ilkhomjon, Sadriddinov, Kang, Misun, Park, Doo-Soon

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Integration of Deep Reinforcement Learning with Collaborative Filtering for Movie Recommendation Systems von Peng, Sony, Siet, Sophort, Ilkhomjon, Sadriddinov, Kim, Dae-Young, Park, Doo-Soon

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Algorithm for Mining Maximal Balanced Bicliques using Formal Concept Analysis von Ilkhomjon, Sadriddinov, Peng, Sony, Siet, Sophort, Kim, Dae-Young, Park, Doo-Soon, Yi, Gangman

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Detecting susceptible communities and individuals in hospital contact networks: a model based on social network analysis von Yang, Yixuan, Peng, Sony, Siet, Sophort, Ilkhomjon, Sadriddinov, Vilakone, Phonexay, Kim, Seok-Hoon, Park, Doo-Soon

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Movie Recommendation System Using Community Detection Based on the Girvan–Newman Algorithm von Ugli, Sadriddinov Ilkhomjon Rovshan, Park, Doo-Soon, Kim, Daeyoung, Yang, Yixuan, Peng, Sony, Siet, Sophort

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A Model for Detection of the Susceptible in Hospital Contact Network Based on Social Network Analysis von Yang, Yixuan, Park, Doo-Soon, Kim, Seok-Hoon, Peng, Sony, Siet, Sophort, Ugli, Sadriddinov Ilkhomjon Rovshan, Vilakone, Phonexay

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A Modern Recommendation System Survey in the Big Data Era von Peng, Sony, Park, Doo-Soon, Kim, Dae-Young, Yang, Yixuan, Siet, Sophort, Ugli, Sadriddinov Ilkhomjon Rovshan, Lee, HyeJung

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