. . . . . “Gao Xiaofeng et al.：基于集成时间软件相似性的在线社交网络信任预测（2021）”。 . _：ID_91dccea48f9a01df23cdbc503e026c60。_：ID_91dccea48f9a01df23cdbc503e026c60 ._：ID_91dccea48f9a01df23cdbc503e026c60 ._：ID_91dccea48f9a01df23cdbc503e026c60 ._：ID_91dccea48f9a01df23cdbc503e026c60“日记账/tkdd/GaoXLC21”。 _：ID_794cdaafa12a10dc4b8fbb882ca8712b。_：ID_794cdaafa12a10dc4b8fbb882ca8712b ._：ID_794cdaafa12a10dc4b8fbb882ca8712b ._：ID_794cdaafa12a10dc4b8fbb882ca8712b ._：ID_794cdaafa12a10dc4b8fbb882ca8712b"10.1145/3447682" . “具有集成时间软件相似性的在线社交网络信任预测”。 . . . . . . . . . "4"^^. _：Sig_4a14d6735e77c323dc05c41f0ce02da4_1。_：Sig_4a14d6735e77c323dc05c41f0ce02da4_1 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_1 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_1“小风高0001”。_：Sig_4a14d6735e77c323dc05c41f0ce02da4_1 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_1"1"^^._：Sig_4a14d6735e77c323dc05c41f0ce02da4_1 . _：Sig_4a14d6735e77c323dc05c41f0ce02da4_2。_：Sig_4a14d6735e77c323dc05c41f0ce02da4_2 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_2 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_2“文以徐”。_：Sig_4a14d6735e77c323dc05c41f0ce02da4_2 ._：Sig_4a14d6735e77c323dc05c41f0ce02a4_2"2"^^._：Sig_4a14d6735e77c323dc05c41f0ce02da4_2 . _：Sig_4a14d6735e77c323dc05c41f0ce02da4_3。_：Sig_4a14d6735e77c323dc05c41f0ce02da4_3 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_3 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_3“廖明鼎”。_：Sig_4a14d6735e77c323dc05c41f0ce02da4_3 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_3"3"^^._：Sig_4a14d6735e77c323dc05c41f0ce02a4_3 . _：Sig_4a14d6735e77c323dc05c41f0ce02da4_4。_：Sig_4a14d6735e77c323dc05c41f0ce02da4_4 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_4 ._：Sig_4a14d6735e77c323dc05c41f0ce02a4_4“陈桂海”。_：Sig_4a14d6735e77c323dc05c41f0ce02da4_4 ._：Sig_4a14d6735e77c323dc05c41f0ce02da4_4"4"^^._：Sig_4a14d6735e77c323dc05c41f0ce02da4_4 . . . . . "95:1-95:30" . “ACM事务处理知识发现数据”。 “ACM事务处理知识发现数据”。 "15" . "6" . "2021"^^. “dblp记录‘journals/tkdd/GaoXLC21’的RDF数据的来源信息”。 . . . “2022-06-13T14:32:59+0200”。