{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T13:00:22Z","timestamp":1740142822938,"version":"3.37.3"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T00:00:00Z","timestamp":1596499200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1811264","U1711263","61966009"],"award-info":[{"award-number":["U1811264","U1711263","61966009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2019GXNSFBA245049","2018GXNSFDA281045"],"award-info":[{"award-number":["2019GXNSFBA245049","2018GXNSFDA281045"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,3,14]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In context-aware recommendation systems, most existing methods encode users\u2019 preferences by mapping item and category information into the same space, which is just a stack of information. The item and category information contained in the interaction behaviours is not fully utilized. Moreover, since users\u2019 preferences for a candidate item are influenced by the changes in temporal and historical behaviours, it is unreasonable to predict correlations between users and candidates by using users\u2019 fixed features. A fine-grained and coarse-grained information based framework proposed in our paper which considers multi-granularity information of users\u2019 historical behaviours. First, a parallel structure is provided to mine users\u2019 preference information under different granularities. Then, self-attention and attention mechanisms are used to capture the dynamic preferences. Experiment results on two publicly available datasets show that our framework outperforms state-of-the-art methods across the calculated evaluation metrics.<\/jats:p>","DOI":"10.1093\/comjnl\/bxaa095","type":"journal-article","created":{"date-parts":[[2020,7,4]],"date-time":"2020-07-04T11:09:07Z","timestamp":1593860947000},"page":"679-688","source":"Crossref","is-referenced-by-count":0,"title":["Considering Fine-Grained and Coarse-Grained Information for Context-Aware Recommendations"],"prefix":"10.1093","volume":"65","author":[{"given":"Yiqin","family":"Luo","sequence":"first","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, 541004 Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanpeng","family":"Sun","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, 541004 Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Chang","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, 541004 Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianlong","family":"Gu","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, 541004 Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenzhong","family":"Bin","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, 541004 Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Li","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, 541004 Guilin, China"},{"name":"College of Information Science and Technology\/ College of Cyber Security, Jinan University, Guangzhou 510632, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,8,4]]},"reference":[{"key":"2022051713372858000_ref1","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1109\/THMS.2015.2509965","article-title":"Exploring latent preferences for context-aware personalized recommendation systems","volume":"46","author":"Alhamid","year":"2016","journal-title":"IEEE Trans.Human Mach. 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