TY - JOUR A2 - Zhang, Yin AU - Wang, Xiangshi AU - Su, Lei AU - Zhou, Qihang AU - Wu, Liping PY - 2020 DA - 2020/05/19 TI - Group Recommender Systems Based on Members’ Preference for Trusted Social Networks SP - 1924140 VL - 2020 AB - With the development of the Internet of Things (IoT), the group recommender system has also been extended to the field of IoT. The entities in the IoT are linked through social networks, which constitute massive amounts of data. In group activities such as group purchases and group tours, user groups often exhibit common interests and hobbies, and it is necessary to make recommendations for certain user groups. This idea constitutes the group recommender system. However, group members’ preferences are not fully considered in group recommendations, and how to use trusted social networks based on their preferences remains unclear. The focus of this paper is group recommendation based on an average strategy, where group members have preferential differences and use trusted social networks to correct for their preferences. Thus, the accuracy of the group recommender system in the IoT and big data environment is improved. SN - 1939-0114 UR - https://doi.org/10.1155/2020/1924140 DO - 10.1155/2020/1924140 JF - Security and Communication Networks PB - Hindawi KW - ER -