{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:23:33Z","timestamp":1764588213358,"version":"3.37.3"},"reference-count":38,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,8,28]],"date-time":"2021-08-28T00:00:00Z","timestamp":1630108800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61967013","2019A-006"],"award-info":[{"award-number":["61967013","2019A-006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Higher Education Innovation Ability Enhancement Project of Gansu Province","award":["61967013","2019A-006"],"award-info":[{"award-number":["61967013","2019A-006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2021,8,28]]},"abstract":"<jats:p>The rapid development of social networks has led to an increased desire for group entertainment consumption, making the study of group recommender systems a hotspot. Existing group recommender systems focus too much on member preferences and ignore the impact of member activity level on recommendation results. To this end, a dynamic group recommendation algorithm based on the activity level of members is proposed. Firstly, the algorithm predicts the unknown preferences of members using a time-series-oriented rating prediction model. Secondly, considering the dynamic change of member activity level, the group profile is generated by designing a sliding time window to investigate the recent activity level of each member in the group at the recommended moment, and preference is aggregated based on the recent activity level of members. Finally, the group recommendations are generated based on the group profile. The experimental results show that the algorithm in this paper achieves a better recommendation result.<\/jats:p>","DOI":"10.1155\/2021\/1969118","type":"journal-article","created":{"date-parts":[[2021,8,29]],"date-time":"2021-08-29T18:20:13Z","timestamp":1630261213000},"page":"1-18","source":"Crossref","is-referenced-by-count":4,"title":["Dynamic Group Recommendation Algorithm Based on Member Activity Level"],"prefix":"10.1155","volume":"2021","author":[{"given":"Junjie","family":"Jia","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730071, Gansu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2953-7023","authenticated-orcid":true,"given":"Yewang","family":"Yao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730071, Gansu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhipeng","family":"Lei","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730071, Gansu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengtao","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730071, Gansu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/mic.2003.1167344"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458205"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-013-0141-9"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290989"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2903743"},{"key":"6","first-page":"2643","article-title":"Deep content-based music recommendation","volume":"26","author":"A. 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