{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T20:01:40Z","timestamp":1773518500233,"version":"3.50.1"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T00:00:00Z","timestamp":1657843200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T00:00:00Z","timestamp":1657843200000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s11042-021-11575-8","type":"journal-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T07:02:56Z","timestamp":1657868576000},"page":"8261-8285","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A trustworthy model of recommender system using hyper-tuned restricted boltzmann machine"],"prefix":"10.1007","volume":"82","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2258-1865","authenticated-orcid":false,"given":"Govind Kumar","family":"Jha","sequence":"first","affiliation":[]},{"given":"Manish","family":"Gaur","sequence":"additional","affiliation":[]},{"given":"Preetish","family":"Ranjan","sequence":"additional","affiliation":[]},{"given":"Hardeo Kumar","family":"Thakur","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,15]]},"reference":[{"key":"11575_CR1","unstructured":"Aalen OO, Johansen S (1978) An empirical transition matrix for non-homogeneous markov chains based on censored observations. Scand J Stat pp. 141\u2013150"},{"key":"11575_CR2","unstructured":"Abdollahi B, Nasraoui O (2016) Explainable restricted boltzmann machines for collaborative filtering. arXiv preprint arXiv:1606.07129"},{"key":"11575_CR3","doi-asserted-by":"crossref","unstructured":"Amatriain X, Basilico J (2015) Recommender systems in industry: A netflix case study. In: Recommender systems handbook. Springer, pp 385\u2013419","DOI":"10.1007\/978-1-4899-7637-6_11"},{"issue":"16","key":"11575_CR4","doi-asserted-by":"publisher","first-page":"5510","DOI":"10.3390\/app10165510","volume":"10","author":"D Ferreira","year":"2020","unstructured":"Ferreira D, Silva S, Abelha A, Machado J (2020) Recommendation system using autoencoders. Appl Sci 10(16):5510","journal-title":"Appl Sci"},{"key":"11575_CR5","doi-asserted-by":"crossref","unstructured":"Fischer A, Igel C (2012) An introduction to restricted boltzmann machines. In: Iberoamerican congress on pattern recognition. Springer, pp 14\u201336","DOI":"10.1007\/978-3-642-33275-3_2"},{"issue":"3","key":"11575_CR6","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1109\/TCYB.2018.2795041","volume":"49","author":"M Fu","year":"2018","unstructured":"Fu M, Qu H, Yi Z, Lu L, Liu Y (2018) A novel deep learning-based collaborative filtering model for recommendation system. IEEE Trans Cybern 49(3):1084\u20131096","journal-title":"IEEE Trans Cybern"},{"key":"11575_CR7","doi-asserted-by":"publisher","unstructured":"Ghasemzadeh P, Banerjee S, Hempel M, Sharif H (2020) A new framework for automatic modulation classification using deep belief networks. In: 2020 IEEE International Conference on Communications Workshops (ICC Workshops), pp 1\u20136. https:\/\/doi.org\/10.1109\/ICCWorkshops49005.2020.9145320","DOI":"10.1109\/ICCWorkshops49005.2020.9145320"},{"key":"11575_CR8","doi-asserted-by":"crossref","unstructured":"Guo G, Zhang J, Yorke-Smith N (2015) Trustsvd: Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings. In: Proceedings of the AAAI Conference on Artificial Intelligence 29","DOI":"10.1609\/aaai.v29i1.9153"},{"key":"11575_CR9","doi-asserted-by":"crossref","unstructured":"He F, Li N, Zhang Zg (2018) Recommendation algorithm based on restricted boltzmann machine and item type. In: 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE), pp 238\u2013244. Atlantis Press","DOI":"10.2991\/amcce-18.2018.42"},{"key":"11575_CR10","doi-asserted-by":"crossref","unstructured":"Hinton GE (2012) A practical guide to training restricted boltzmann machines. In: Neural networks: Tricks of the trade.\u00a0Springer, pp 599\u2013619.\u00a0","DOI":"10.1007\/978-3-642-35289-8_32"},{"key":"11575_CR11","doi-asserted-by":"publisher","first-page":"137900","DOI":"10.1109\/ACCESS.2019.2929789","volume":"7","author":"Z Huang","year":"2019","unstructured":"Huang Z, Yu C, Ni J, Liu H, Zeng C, Tang Y (2019) An efficient hybrid recommendation model with deep neural networks. IEEE Access 7:137900\u2013137912","journal-title":"IEEE Access"},{"issue":"12","key":"11575_CR12","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.3390\/e21121163","volume":"21","author":"C Neto","year":"2019","unstructured":"Neto C, Brito M, Lopes V, Peixoto H, Abelha A, Machado J (2019) Application of data mining for the prediction of mortality and occurrence of complications for gastric cancer patients. Entropy 21(12):1163","journal-title":"Entropy"},{"key":"11575_CR13","doi-asserted-by":"crossref","unstructured":"Neve J, Palomares I (2019) Latent factor models and aggregation operators for collaborative filtering in reciprocal recommender systems. In: Proceedings of the 13th ACM Conference on Recommender Systems, pp 219\u2013227","DOI":"10.1145\/3298689.3347026"},{"key":"11575_CR14","doi-asserted-by":"crossref","unstructured":"Ranjan P, Vaish A (2014) Apriori viterbi model for prior detection of socio-technical attacks in a social network. In: 2014 International Conference on Engineering and Telecommunication. IEEE, pp 97\u2013101","DOI":"10.1109\/EnT.2014.11"},{"key":"11575_CR15","doi-asserted-by":"crossref","unstructured":"Salakhutdinov R, Mnih A, Hinton G (2007) Restricted boltzmann machines for collaborative filtering. In: Proceedings of the 24th international conference on Machine learning, pp 791\u2013798","DOI":"10.1145\/1273496.1273596"},{"issue":"1","key":"11575_CR16","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3390\/bdcc2010007","volume":"2","author":"M Sun","year":"2018","unstructured":"Sun M, Li F, Zhang J (2018) A multi-modality deep network for cold-start recommendation. Big Data Cogn Comput 2(1):7","journal-title":"Big Data Cogn Comput"},{"key":"11575_CR17","doi-asserted-by":"crossref","unstructured":"Wang J, Kawagoe K (2018) A recommender system for ancient books, pamphlets and paintings in ritsumeikan art research center database. In: Proceedings of the 2018 10th International Conference on Computer and Automation Engineering, pp 53\u201357","DOI":"10.1145\/3192975.3193018"},{"key":"11575_CR18","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.knosys.2018.01.003","volume":"145","author":"H Wu","year":"2018","unstructured":"Wu H, Zhang Z, Yue K, Zhang B, He J, Sun L (2018) Dual-regularized matrix factorization with deep neural networks for recommender systems. Knowl-Based Syst 145:46\u201358","journal-title":"Knowl-Based Syst"},{"key":"11575_CR19","doi-asserted-by":"publisher","unstructured":"Yang F, Lu Y (2018) Restricted boltzmann machines for recommender systems with implicit feedback. In: 2018 IEEE International Conference on Big Data (Big Data), pp 4109\u20134113. https:\/\/doi.org\/10.1109\/BigData.2018.8622127","DOI":"10.1109\/BigData.2018.8622127"},{"key":"11575_CR20","doi-asserted-by":"crossref","unstructured":"Zhang L, Wu X, Luo D (2015) Real-time activity recognition on smartphones using deep neural networks. In: 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom). IEEE, pp 1236\u20131242","DOI":"10.1109\/UIC-ATC-ScalCom-CBDCom-IoP.2015.224"},{"key":"11575_CR21","doi-asserted-by":"crossref","unstructured":"Zheng Y, Tang B, Ding W, Zhou H (2016) A neural autoregressive approach to collaborative filtering. In: International Conference on Machine Learning. PMLR, pp 764\u2013773","DOI":"10.1145\/2988450.2988453"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11575-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-021-11575-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11575-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T09:29:15Z","timestamp":1677058155000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-021-11575-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,15]]},"references-count":21,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["11575"],"URL":"https:\/\/doi.org\/10.1007\/s11042-021-11575-8","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,15]]},"assertion":[{"value":"5 February 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 September 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 July 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}