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Recent studies have shown that incorporating auxiliary social trust relationship information into the recommender system improves the accuracy of recommendations. Most existing research only considers explicit trust relationships, which result in sub-optimal recommendation performance. In this research, we present a trust model which analyses user trustworthiness based on user\u2019s behaviours on the social networks. The proposed trust model increases the density of trust relationships by considering explicit and implicit social trust relationships and also reflects a more fine-grained and realistic trust level between users. This improved social trust information is then incorporated into TrustSVD, a matrix factorisation\u2013based social recommendation method. By analysing the prediction result using a real-world data set, Douban-600k from the Douban Movie website, we found that our proposed method provides more accurate predictions compared with SVD++ and traditional TrustSVD, improving users\u2019 experiences.<\/jats:p>","DOI":"10.1177\/01655515221136221","type":"journal-article","created":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T06:10:35Z","timestamp":1669183835000},"page":"224-241","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Improving the recommendation accuracy of TrustSVD via trustworthy analysis in the social network environment"],"prefix":"10.1177","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2335-9281","authenticated-orcid":false,"given":"Ruoxi","family":"Sun","sequence":"first","affiliation":[{"name":"University of Wollongong, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Yan","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Information Sciences, University of Wollongong, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fenghui","family":"Ren","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Information Sciences, University of Wollongong, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,11,23]]},"reference":[{"key":"bibr1-01655515221136221","doi-asserted-by":"publisher","DOI":"10.1111\/gove.12209"},{"key":"bibr2-01655515221136221","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxab049"},{"key":"bibr3-01655515221136221","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2528249"},{"key":"bibr4-01655515221136221","doi-asserted-by":"publisher","DOI":"10.1007\/s10660-019-09390-3"},{"key":"bibr5-01655515221136221","first-page":"1343","volume-title":"Proceedings of the 26th international conference on World Wide Web companion","author":"Taheri SM"},{"key":"bibr6-01655515221136221","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2605085"},{"key":"bibr7-01655515221136221","first-page":"447","volume-title":"Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining","author":"Koren Y"},{"key":"bibr8-01655515221136221","first-page":"955","volume-title":"Proceedings of the SIGCHI conference on human factors in computing systems","author":"Otterbacher J"},{"key":"bibr9-01655515221136221","first-page":"30","volume-title":"Proceedings of the twenty-eighth AAAI conference on artificial intelligence (AAAI)","author":"Fang H"},{"key":"bibr10-01655515221136221","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-29659-3_1"},{"key":"bibr11-01655515221136221","unstructured":"Funk S. 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