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The traditional group recommendation algorithm does not consider the trust and social influence among users. It involves a low utilization rate of social relationship information, which leads to a low accuracy and satisfaction of group recommendations. Considering these issues, in this study, we propose a travel group recommendation model based on user trust and social influence. Based on the user trust relationship, this model defines the user direct and indirect trust and calculates the user global trust by combining the two trusts. Subsequently, the PageRank algorithm is used to calculate the social influence of users based on their interaction relationship history. Thereafter, a consensus model integrating the intra- and intergroup prediction scores is designed by integrating users\u2019 global trust and social influence to realize group recommendations for tourist attractions. Comparison experiments with several well-known group recommendation models for datasets of different scenic spots in Beijing demonstrate that the proposed model provides a better recommendation performance.<\/jats:p>","DOI":"10.1155\/2021\/7080116","type":"journal-article","created":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T18:35:58Z","timestamp":1630434958000},"page":"1-10","source":"Crossref","is-referenced-by-count":4,"title":["A Novel Travel Group Recommendation Model Based on User Trust and Social Influence"],"prefix":"10.1155","volume":"2021","author":[{"given":"Zhiyun","family":"Xu","sequence":"first","affiliation":[{"name":"School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyao","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4987-0376","authenticated-orcid":true,"given":"Yonglong","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China"},{"name":"School of Computer and Information, Anhui Normal University, Wuhu 241002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.06.007"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1145\/3285029"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.26599\/bdma.2018.9020008"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2017edr0003"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.tourman.2016.03.014"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1177\/0047287516678337"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-016-0400-0"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.08.131"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2021.07.004"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.3023155"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-018-0496-5"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-020-01535-1"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1145\/3391198"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.31209\/2019.100000114"},{"first-page":"367","article-title":"Research on the integration strategy of group recommendation based on user\u2019s interactive behaviors","author":"F. 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