{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T23:45:55Z","timestamp":1740181555790,"version":"3.37.3"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,10,28]],"date-time":"2023-10-28T00:00:00Z","timestamp":1698451200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,28]],"date-time":"2023-10-28T00:00:00Z","timestamp":1698451200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-023-02283-1","type":"journal-article","created":{"date-parts":[[2023,10,28]],"date-time":"2023-10-28T06:02:28Z","timestamp":1698472948000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on Distributed Machine Learning Model for Predicting Users\u2019 Interest by Acquired Web Contents Similarity"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1172-017X","authenticated-orcid":false,"given":"Takeshi","family":"Tsuchiya","sequence":"first","affiliation":[]},{"given":"Rika","family":"Misawa","sequence":"additional","affiliation":[]},{"given":"Ryuichi","family":"Mochizuki","sequence":"additional","affiliation":[]},{"given":"Hiroo","family":"Hirose","sequence":"additional","affiliation":[]},{"given":"Tetsuyasu","family":"Yamada","sequence":"additional","affiliation":[]},{"given":"Yoshito","family":"Yamamoto","sequence":"additional","affiliation":[]},{"given":"Hiroshi","family":"Ichikawa","sequence":"additional","affiliation":[]},{"given":"Quang Tran","family":"Minh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,28]]},"reference":[{"key":"2283_CR1","doi-asserted-by":"crossref","unstructured":"Takeshi T, Rika M, Ryuichi M, Hiroo H, Tetsuyasu Y, Yoshito Y, Hiroshi I, and Quang TM, \u201cContent selection methods using user interest prediction based on similarities of web activities\u201d, Future Data and Security Engineering Big Data, Security and Privacy, Smart City and Industry 4.0 Applications,Communications in Computer and Information Science 1688, pp.119-130, Nov. 2022.","DOI":"10.1007\/978-981-19-8069-5_8"},{"key":"2283_CR2","unstructured":"Tsuchiya T, Misawa R, Mochizuki R, Hirose H, Yamada T. Research on Content Selection Manner by Predicting Users. Interests Focusing on Acquired Web Similarity, IEICE Techreport. 2022;122(146):7\u201310 (IN2022-15, (written in Japanese))."},{"issue":"1","key":"2283_CR3","first-page":"5","volume":"14","author":"T TSUCHIYA","year":"2019","unstructured":"TSUCHIYA T, HIROSE H, YAMADA T, YOSHINAGA H, KOYANAGI K. Predicting user interests and orientations based on their latest web acquisition. J Soc Infosocionom. 2019;14(1):5\u201313 ((written in Japanese)).","journal-title":"J Soc Infosocionom"},{"key":"2283_CR4","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1007\/s42979-022-01312-9","volume":"3","author":"T Tsuchiya","year":"2022","unstructured":"Tsuchiya T, Mochizuki R, Hirose H, et al. Research on selective combination of distributed machine learning models. SN Comput Sci. 2022;3:438. https:\/\/doi.org\/10.1007\/s42979-022-01312-9.","journal-title":"SN Comput Sci."},{"key":"2283_CR5","doi-asserted-by":"publisher","DOI":"10.1109\/SECCOMW.2006.359531","volume-title":"Preventing Cross Site Request Forgery Attacks","author":"N Jovanovic","year":"2006","unstructured":"Jovanovic N, Kirda E, Kruegel C. Preventing Cross Site Request Forgery Attacks. Baltimore: Securecomm and Workshops; 2006."},{"key":"2283_CR6","doi-asserted-by":"crossref","unstructured":"Bonomi F, Milito R, Natarajan P, Zhu J , \u201cFog Computing: A Platform for Internet of Things and Analytics\u201d, Big Data and Internet of Things: A Roadmap for Smart Environments, Springer, pp. 169-186, Mar. 2014.","DOI":"10.1007\/978-3-319-05029-4_7"},{"key":"2283_CR7","unstructured":"Laperdrix P, Bielova N, Baudry B, Avoine G (2019) Browser Fingerprinting: A survey. arxiv:abs\/1905.01051"},{"key":"2283_CR8","doi-asserted-by":"crossref","unstructured":"Qiang Y, Yang L, Yong C, Yan K, Tianjian C, Han Y, \u201cFederated Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)\u201d,Morgan & Claypool, 2019.","DOI":"10.2200\/S00960ED2V01Y201910AIM043"},{"key":"2283_CR9","unstructured":"McMahan HB, Moore E, Ramage D, Hampson S, Arcas BA, \u201cCommunication-Efficient Learning of Deep Networks from Decentralized Data\u201d, Proc. of the 20th Int\u2019l Conf. on Artificial Intelligence and Statistics, JMLR: W &CP volume 54, pp. 169-186, Mar. 2014."},{"key":"2283_CR10","unstructured":"floc: \u201chttps:\/\/github.com\/WICG\/floc\u201d , checked in Apr. 2023."},{"key":"2283_CR11","unstructured":"Topics API for Privacy Sandbox, https:\/\/blog.google\/products\/chrome\/get-know-new-topics-api-privacy-sandbox\/ , checked in Apr. 2023."},{"key":"2283_CR12","doi-asserted-by":"crossref","unstructured":"Ren K, Qin J, Fang Y, Zhang W, Zheng L, Bian W, Zhou G, Xu J, Yu Y, Zhu X, et al, \u201cLifelong sequential modeling with personalized memorization for user response prediction\u201d, Proc. 42nd International ACM SIGIR Conference on Research and Development in In- formation Retrieval, pp.565\u2013574, 2019.","DOI":"10.1145\/3331184.3331230"},{"key":"2283_CR13","unstructured":"Guorui Z, Na M, Ying F, Qi P, Weijie B, Chang Z, Xiaoqiang Z, Kun G. 2019. Deep Interest Evolution Network for Click-Through Rate Prediction. AAAI."},{"key":"2283_CR14","doi-asserted-by":"crossref","unstructured":"Liu B, Wang L, Liu M. \u201cLifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems,\u201d 2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1688-1695, Macau, China, 2019.","DOI":"10.1109\/IROS40897.2019.8967908"},{"issue":"8","key":"2283_CR15","doi-asserted-by":"publisher","first-page":"1738","DOI":"10.1109\/JPROC.2019.2918951","volume":"107","author":"Z Zhou","year":"2019","unstructured":"Zhou Z, Chen X, Li E, Zeng L, Luo K, Zhang J. Edge intelligence: Paving the last mile of artificial intelligence with edge computing. Proc IEEE. 2019;107(8):1738\u201362.","journal-title":"Proc IEEE"},{"issue":"4\u201365","key":"2283_CR16","first-page":"1","volume":"52","author":"T Ben-Nun","year":"2019","unstructured":"Ben-Nun T, Hoefler Torsten. Demystifying parallel and distributed deep learning: An in-depth concurrency analysis. ACM Comput Surv. 2019;52(4\u201365):1\u201343.","journal-title":"ACM Comput Surv"},{"key":"2283_CR17","unstructured":"Ruoxi J, David D, Boxin W, Frances AH, Nick H, Nezihe MG, Bo L, Ce Z, Dawn S, Costas JS, \u201cTowards Efficient Data Valuation Based on the Shapley Value \u201d, Proc. of the 22th Int\u2019 Conf\u2019 on Artificial Intelligence and Statistics, PMLR 89:1167-1176, 2019."},{"key":"2283_CR18","unstructured":"Apache Storm, June 2019, \u201chttps:\/\/storm.apache.org\/\u201d ,checked Mar. 2023"},{"key":"2283_CR19","unstructured":"Praneeth V, Tristan S, Ramesh R, Otkrist G, Abhimanyu D,\u201cNo Peek: A Survey of private distributed deep learning\u201d, CoRR arxiv:abs\/1812.03288, 2018."},{"key":"2283_CR20","doi-asserted-by":"crossref","unstructured":"Flavio B, Rodolfo M, Preethi N, Jiang Z, Bessis N, Dobre C., \u201cFog Computing: A Platform for Internet of Things and Analytics\u201d, Big Data and Internet of Things: A Roadmap for Smart Environments,pp. 169-186,Springer International Publishing, 2014.","DOI":"10.1007\/978-3-319-05029-4_7"},{"key":"2283_CR21","unstructured":"word2vecTomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean, \u201cEfficient estimation of word representations in vector space\u201d CoRR, Vol. arxiv:abs\/1301.3781, 2013."},{"key":"2283_CR22","unstructured":"Le Q, Mikolov T. Distributed Representations of Sentences and Documents, Proceedings of the 31st International Conference on Machine Learning. PMLR. 2014;32(2):1188\u201396."},{"key":"2283_CR23","unstructured":"Dan P, Andrew M, \u201cX-means: Extending K-means with Efficient Estimation of the Number of Clusters\u201d, Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000). Retrieved 2016-08-16."},{"issue":"2\u20133","key":"2283_CR24","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1080\/00437956.1954.11659520","volume":"10","author":"Zellig S Harris","year":"1954","unstructured":"Harris Zellig S. Distributional Structure. Word. 1954;10(2\u20133):146\u201362.","journal-title":"Word"},{"key":"2283_CR25","doi-asserted-by":"crossref","unstructured":"Agirre E, Alfonseca E, Hall K, Kravalova J, Pa\u015fca M, Soroa A, \u201cA Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches\u201d,Proc. of Human Language Technologies: the North American Chapter of the Association for Computational Linguistics, pp. 19\u201327 2009, Boulder, 2009.","DOI":"10.3115\/1620754.1620758"},{"key":"2283_CR26","unstructured":"https:\/\/nodejs.org\/en\/, checked in Apr. 2023."},{"key":"2283_CR27","unstructured":"https:\/\/www.python.org\/ , checked in Apr. 2023."},{"key":"2283_CR28","unstructured":"https:\/\/radimrehurek.com\/gensim\/ , checked in Apr. 2023."},{"key":"2283_CR29","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, \u201cBERT: Pre-training of Deep Bidirectional Transformers for Language Understanding\u201d,CoRR, arxiv:abs\/1810.04805, 2018.Oct."}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-023-02283-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-023-02283-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-023-02283-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,28]],"date-time":"2023-10-28T06:34:32Z","timestamp":1698474872000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-023-02283-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,28]]},"references-count":29,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2023,11]]}},"alternative-id":["2283"],"URL":"https:\/\/doi.org\/10.1007\/s42979-023-02283-1","relation":{},"ISSN":["2661-8907"],"issn-type":[{"type":"electronic","value":"2661-8907"}],"subject":[],"published":{"date-parts":[[2023,10,28]]},"assertion":[{"value":"27 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 August 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"On behalf of all authors, the corresponding author states that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"826"}}