Qing Yang1, Shengjie Zhou1, Heyong Li1, Jingwei Zhang2, 3, *
CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1691-1704, 2020, DOI:10.32604/cmc.2020.010256
Abstract Group recommendations derive from a phenomenon in which people tend to
participate in activities together regardless of whether they are online or in reality, which
creates real scenarios and promotes the development of group recommendation systems.
Different from traditional personalized recommendation methods, which are concerned
only with the accuracy of recommendations for individuals, group recommendation is
expected to balance the needs of multiple users. Building a proper model for a group of
users to improve the quality of a recommended list and to achieve a better recommendation
has become a large challenge for group recommendation applications. Existing studies
often focus… More >
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