{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T07:50:10Z","timestamp":1771746610802,"version":"3.50.1"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Youth Scientific Research Fund of Qinghai University","award":["2024-QGY-6"],"award-info":[{"award-number":["2024-QGY-6"]}]},{"name":"Key Research and Development and Transformation of Qinghai Science and Technology Plan","award":["2024-NK-110"],"award-info":[{"award-number":["2024-NK-110"]}]},{"name":"Quan Cheng Laboratory","award":["QCLZD202301"],"award-info":[{"award-number":["QCLZD202301"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tkde.2025.3543285","type":"journal-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T18:26:02Z","timestamp":1739903162000},"page":"2391-2404","source":"Crossref","is-referenced-by-count":5,"title":["Diversity-Promoting Recommendation With Dual-Objective Optimization and Dual Consideration"],"prefix":"10.1109","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8268-6792","authenticated-orcid":false,"given":"Yuli","family":"Liu","sequence":"first","affiliation":[{"name":"School of Computer Technology and Applications, Qinghai University, Xining, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7450-9876","authenticated-orcid":false,"given":"Yuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Technology and Applications, Qinghai University, Xining, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591635"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3145690"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2789445"},{"key":"ref4","first-page":"1742","article-title":"Optimal greedy diversity for recommendation","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Ashkan"},{"key":"ref5","article-title":"Recommending accurate and diverse items using bilateral branch network","author":"Liang","year":"2021"},{"key":"ref6","first-page":"2698","article-title":"Promoting diversity in recommendation by entropy regularizer","volume-title":"Proc. 23rd Int. Joint Conf. Artif. Intell.","author":"Qin"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.02.009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1454008.1454030"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/290941.291025"},{"key":"ref10","first-page":"5","article-title":"Diversifying search results","volume-title":"Proc. 2nd ACM Int. Conf. Web Search Data Mining","author":"Agrawal"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570472"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449835"},{"key":"ref13","first-page":"2030","article-title":"A framework for recommending accurate and diverse items using Bayesian graph convolutional neural networks","volume-title":"Proc. 26th ACM SIGKDD Int. Conf. Knowl. Discov. Data Mining","author":"Sun"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052585"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3412687"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00084"},{"key":"ref17","first-page":"239","article-title":"Opportunistic multi-aspect fairness through personalized re-ranking","volume-title":"Proc. 28th ACM Conf. User Model. Adapt. Personalization","author":"Sonboli"},{"key":"ref18","first-page":"1237","article-title":"Can one embedding fit all? A multi-interest learning paradigm towards improving user interest diversity fairness","volume-title":"Proc. ACM Web Conf.","author":"Zhao"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1561\/9781601986290"},{"key":"ref20","first-page":"1544","article-title":"A universal sets-level optimization framework for next set recommendation","volume-title":"Proc. 33rd ACM Int. Conf. Inf. Knowl. Manage.","author":"Liu"},{"key":"ref21","first-page":"5627","article-title":"Fast greedy map inference for determinantal point process to improve recommendation diversity","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/537"},{"key":"ref23","article-title":"Multi-task determinantal point processes for recommendation","author":"Warlop","year":"2018"},{"key":"ref24","article-title":"Diversity-promoting deep reinforcement learning for interactive recommendation","author":"Liu","year":"2019"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357898"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080786"},{"issue":"2","key":"ref27","first-page":"1","article-title":"Multi-graph heterogeneous interaction fusion for social recommendation","volume":"40","author":"Zhang","year":"2021","journal-title":"ACM Trans. Inf. Syst."},{"key":"ref28","article-title":"Wasserstein GAN","author":"Arjovsky","year":"2017"},{"key":"ref29","first-page":"419","article-title":"Learning determinantal point processes[C]","volume-title":"Proc. 27th Conf. Uncertainty Artif. Intell.","author":"Kulesza","year":"2011"},{"key":"ref30","first-page":"2069","article-title":"Diverse sequential subset selection for supervised video summarization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gong"},{"key":"ref31","first-page":"1193","article-title":"k-DPPs: Fixed-size determinantal point processes","volume-title":"Proc. 28th Int. Conf. Mach. Learn.","author":"Kulesza"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1115\/detc2020-22729"},{"key":"ref33","first-page":"2744","article-title":"Near-optimal MAP inference for determinantal point processes","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gillenwater"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"ref35","first-page":"1912","article-title":"Low-rank factorization of determinantal point processes","volume-title":"Proc. 31st AAAI Conf. Artif. Intell.","author":"Gartrell"},{"key":"ref36","article-title":"Semantic segmentation using adversarial networks","author":"Luc","year":"2016"},{"key":"ref37","article-title":"Toward simulating environments in reinforcement learning based recommendations","author":"Zhao","year":"2019"},{"key":"ref38","article-title":"Lazy and fast greedy map inference for determinantal point process","author":"Hemmi","year":"2022"},{"key":"ref39","first-page":"3598","article-title":"Macro graph neural networks for online billion-scale recommender systems","volume-title":"Proc. ACM Web Conf.","author":"Chen"},{"key":"ref40","first-page":"507","article-title":"Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering","volume-title":"Proc. 25th Int. Conf. World Wide Web","author":"He"},{"key":"ref41","article-title":"BPR: Bayesian personalized ranking from implicit feedback","author":"Rendle","year":"2012"},{"key":"ref42","first-page":"165","article-title":"Neural graph collaborative filtering","volume-title":"Proc. 42nd Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval","author":"Wang"},{"key":"ref43","article-title":"Graph convolutional matrix completion","author":"Berg","year":"2017"},{"key":"ref44","first-page":"173","article-title":"Neural collaborative filtering","volume-title":"Proc. 26th Int. Conf. World Wide Web","author":"He"},{"key":"ref45","first-page":"515","article-title":"Collaborative memory network for recommendation systems","volume-title":"Proc. 41st Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval","author":"Ebesu"},{"key":"ref46","first-page":"1373","article-title":"GAN-based matrix factorization for recommender systems","volume-title":"Proc. 37th ACM\/SIGAPP Symp. Appl. Comput.","author":"Dervishaj"},{"key":"ref47","first-page":"785","article-title":"Optimizing top-n collaborative filtering via dynamic negative item sampling","volume-title":"Proc. 36th Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval","author":"Zhang"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959149"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5931"},{"key":"ref50","first-page":"1774","article-title":"GDPP: Learning diverse generations using determinantal point processes","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Elfeki"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599869"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3651558"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.331"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671733"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330952"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371805"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00122"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICDEW.2019.00-16"},{"key":"ref59","article-title":"GAN-based recommendation with positive-unlabeled sampling","author":"Zhou","year":"2020"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591732"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772770"},{"key":"ref62","article-title":"Decoding and diversity in machine translation","author":"Roberts","year":"2020"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/10948402\/10891877.pdf?arnumber=10891877","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T17:32:57Z","timestamp":1745947977000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10891877\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":62,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2025.3543285","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}