{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:20:50Z","timestamp":1750220450396,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T00:00:00Z","timestamp":1611792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,1,28]]},"DOI":"10.1145\/3448734.3450933","type":"proceedings-article","created":{"date-parts":[[2021,5,17]],"date-time":"2021-05-17T15:48:16Z","timestamp":1621266496000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Research on News Recommendation Algorithm Based on User Interest and Timeliness Modeling"],"prefix":"10.1145","author":[{"given":"Zhongtai","family":"Qin","sequence":"first","affiliation":[{"name":"Guangzhou University"}]},{"given":"Mingjun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guangzhou University"}]}],"member":"320","published-online":{"date-parts":[[2021,5,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.09.113"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2669243"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2013.2279732"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2009937"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1963192.1963245"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185994"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2010.08.044"},{"key":"e_1_3_2_1_8_1","volume-title":"A bias aware news recommendation system[C]\/\/2019 IEEE 13th International Conference on Semantic Computing (ICSC)","author":"Patankar A","year":"2019","unstructured":"Patankar A , Bose J , Khanna H. A bias aware news recommendation system[C]\/\/2019 IEEE 13th International Conference on Semantic Computing (ICSC) . IEEE , 2019 : 232-238. Patankar A, Bose J, Khanna H. A bias aware news recommendation system[C]\/\/2019 IEEE 13th International Conference on Semantic Computing (ICSC). IEEE, 2019: 232-238."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2946753"},{"key":"e_1_3_2_1_10_1","volume-title":"Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach[J]","author":"Liu Y","year":"2020","unstructured":"Liu Y , James J Q , Kang J , Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach[J] . IEEE Internet of Things Journal , 2020 . Liu Y, James J Q, Kang J, Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach[J]. IEEE Internet of Things Journal, 2020."},{"volume-title":"PMLR","author":"Chen X","key":"e_1_3_2_1_11_1","unstructured":"Chen X , Li S , Li H , Generative adversarial user model for reinforcement learning based recommendation system[C]\/\/ International Conference on Machine Learning . PMLR , 2019: 1052-1061. Chen X, Li S, Li H, Generative adversarial user model for reinforcement learning based recommendation system[C]\/\/ International Conference on Machine Learning. PMLR, 2019: 1052-1061."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2967792"},{"key":"e_1_3_2_1_13_1","volume-title":"Song Z","author":"Zhu Q","year":"2019","unstructured":"Zhu Q , Zhou X , Song Z , Dan : Deep attention neural network for news recommendation[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence . 2019 , 33: 5973-5980. Zhu Q, Zhou X, Song Z, Dan: Deep attention neural network for news recommendation[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence. 2019, 33: 5973-5980."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1639714.1639794"},{"key":"e_1_3_2_1_15_1","first-page":"155","article-title":"a contribution to experimental psychology[J]","volume":"2013","author":"Ebbinghaus H.","unstructured":"Ebbinghaus H. Memory : a contribution to experimental psychology[J] . Annals of Neurosciences , 2013 ,20( 4) : 155 - 156 . Ebbinghaus H.Memory:a contribution to experimental psychology[J]. Annals of Neurosciences,2013,20( 4) : 155-156.","journal-title":"Annals of Neurosciences"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2013.2279732"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/358916.358994"}],"event":{"name":"CONF-CDS 2021: The 2nd International Conference on Computing and Data Science","acronym":"CONF-CDS 2021","location":"Stanford CA USA"},"container-title":["The 2nd International Conference on Computing and Data Science"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448734.3450933","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3448734.3450933","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:52Z","timestamp":1750193272000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448734.3450933"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,28]]},"references-count":17,"alternative-id":["10.1145\/3448734.3450933","10.1145\/3448734"],"URL":"https:\/\/doi.org\/10.1145\/3448734.3450933","relation":{},"subject":[],"published":{"date-parts":[[2021,1,28]]},"assertion":[{"value":"2021-05-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}