{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T18:45:29Z","timestamp":1781376329613,"version":"3.54.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T00:00:00Z","timestamp":1652745600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T00:00:00Z","timestamp":1652745600000},"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":["Innovations Syst Softw Eng"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s11334-022-00437-7","type":"journal-article","created":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T16:23:14Z","timestamp":1652804594000},"page":"719-726","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Emotion detection for online recommender system using deep learning: a proposed method"],"prefix":"10.1007","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5987-3119","authenticated-orcid":false,"given":"Soma","family":"Bandyopadhyay","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1285-3783","authenticated-orcid":false,"given":"S. S.","family":"Thakur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9447-647X","authenticated-orcid":false,"given":"J. K.","family":"Mandal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,5,17]]},"reference":[{"issue":"11","key":"437_CR1","doi-asserted-by":"publisher","first-page":"2545","DOI":"10.1109\/TMI.2019.2905917","volume":"38","author":"S Minaee","year":"2019","unstructured":"Minaee S, Wang Y, Aygar A, Chung S, Wang X, Lui YW, Fieremans E, Flanagan S, Rath J (2019) MTBI identification from diffusion MR images using bag of adversarial visual features. IEEE Trans Med Imaging 38(11):2545\u20132555. https:\/\/doi.org\/10.1109\/TMI.2019.2905917","journal-title":"IEEE Trans Med Imaging"},{"key":"437_CR2","unstructured":"Minaee S, Luo P, Lin Z, Bowyer K (2021) Going deeper into face detection: a survey. arXiv:2103.14983"},{"key":"437_CR3","doi-asserted-by":"crossref","unstructured":"Long J, Shelhamer E, Darrell T (2015) Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3431\u20133440","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"437_CR4","doi-asserted-by":"publisher","unstructured":"Jahan N, Bhuiyan PK, Moon PA, Akbar MA (2020) Real time face recognition system with deep residual network and KNN. In: 2020 international conference on electronics and sustainable communication systems (ICESC) IEEE, pp. 1122\u20131126, doi: https:\/\/doi.org\/10.1109\/ICESC48915.2020.9155579.","DOI":"10.1109\/ICESC48915.2020.9155579"},{"key":"437_CR5","doi-asserted-by":"crossref","unstructured":"Ebrahimi Kahou S, Michalski V, Konda K, Memisevic R, Pal C (2015) Recurrent neural networks for emotion recognition in video. In: Proceedings of the 2015 ACM on international conference on multimodal interaction - ICMI \u201915","DOI":"10.1145\/2818346.2830596"},{"key":"437_CR6","first-page":"1097","volume":"25","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. Adv Neural Inf Process Syst 25:1097\u20131105","journal-title":"Adv Neural Inf Process Syst"},{"key":"437_CR7","doi-asserted-by":"crossref","unstructured":"Mollahosseini A, Chan D, Mahoor MH (2016) Going deeper in facial expression recognition using deep neural networks. In: 2016 IEEE winter conference on applications of computer vision (WACV), pp. 1\u201310","DOI":"10.1109\/WACV.2016.7477450"},{"key":"437_CR8","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1016\/j.patcog.2016.07.026","volume":"61","author":"AT Lopes","year":"2017","unstructured":"Lopes AT, De Aguiar E, De Souza AF, Oliveira-Santos T (2017) Facial expression recognition with convolutional neural networks: coping with few data and the training sample order. Pattern Recogn 61:610\u2013628. https:\/\/doi.org\/10.1016\/j.patcog.2016.07.026","journal-title":"Pattern Recogn"},{"key":"437_CR9","doi-asserted-by":"crossref","unstructured":"Liu P, Han S, Meng Z, Tong Y (2014) Facial expression recognition via a boosted deep belief network. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1805\u20131812","DOI":"10.1109\/CVPR.2014.233"},{"key":"437_CR10","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.neucom.2015.02.011","volume":"159","author":"M Liu","year":"2015","unstructured":"Liu M, Li S, Shan S, Chen X (2015) Au-inspired deep networks for facial expression feature learning. Neurocomputing 159:126\u2013136. https:\/\/doi.org\/10.1016\/j.neucom.2015.02.011","journal-title":"Neurocomputing"},{"key":"437_CR11","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2014.051215","author":"YH Byeon","year":"2014","unstructured":"Byeon YH, Kwak KC (2014) Facial expression recognition using 3d convolutional neural network. Int J Adv Comput Sci Appl. https:\/\/doi.org\/10.14569\/IJACSA.2014.051215","journal-title":"Int J Adv Comput Sci Appl"},{"issue":"10","key":"437_CR12","doi-asserted-by":"publisher","first-page":"3191","DOI":"10.1016\/j.patcog.2015.04.012","volume":"48","author":"W Zhang","year":"2015","unstructured":"Zhang W, Zhang Y, Ma L, Guan J, Gong S (2015) Multimodal learning for facial expression recognition. Pattern Recogn 48(10):3191\u20133202","journal-title":"Pattern Recogn"},{"key":"437_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-019-01630-9","author":"A Agrawal","year":"2019","unstructured":"Agrawal A, Mittal N (2019) Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy. Vis Comput. https:\/\/doi.org\/10.1007\/s00371-019-01630-9","journal-title":"Vis Comput"},{"key":"437_CR14","unstructured":"Kim MH, Joo YH, Park JB (2005) Emotion detection algorithm using frontal face image. In: Proceedings of international conference on computer application in shipbuilding (ICCAS)"},{"key":"437_CR15","doi-asserted-by":"crossref","unstructured":"Morishima S, Harashima H (1993) Emotion space for analysis and synthesis of facial expression. In: Proceedings of 1993 2nd IEEE international workshop on robot and human communication, pp. 188\u2013193","DOI":"10.1109\/ROMAN.1993.367724"},{"key":"437_CR16","unstructured":"Zhaoo J, Kearney G (1996) Classifying facial emotions by backpropagation neural networks with fuzzy inputs. In: International conference n neural information processing Vol. 1, pp. 454\u2013457"},{"key":"437_CR17","doi-asserted-by":"crossref","unstructured":"Lien JJ, Kanade T, Cohn JF, Li CC (1998) Automated facial expression recognition based on FACS action units. In: Proceedings third IEEE international conference on automatic face and gesture recognition, pp. 390\u2013395","DOI":"10.1109\/AFGR.1998.670980"},{"key":"437_CR18","doi-asserted-by":"crossref","unstructured":"Shin M, Kim M, Kwon DS (2016) Baseline CNN structure analysis for facial expression recognition. In: 2016 25th IEEE international symposium on robot and human interactive communication (RO-MAN), pp. 724\u2013729.","DOI":"10.1109\/ROMAN.2016.7745199"},{"key":"437_CR19","doi-asserted-by":"crossref","unstructured":"Wang HH, Gu JW (2018) The applications of facial expression recognition in human-computer interaction. In: 2018 IEEE international conference on advanced manufacturing (ICAM), pp. 288\u2013291","DOI":"10.1109\/AMCON.2018.8614755"},{"key":"437_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70932-9_13","volume-title":"Dynamical Vision. WDV 2006, WDV 2005. Lecture Notes in Computer Science","author":"G Zhao","year":"2007","unstructured":"Zhao G, Pietik\u00e4inen M (2007) Dynamic texture recognition using volume local binary patterns. In: Vidal R, Heyden A, Ma Y (eds) Dynamical Vision. WDV 2006, WDV 2005. Lecture Notes in Computer Science, vol 4358. Springer, Heidelberg. https:\/\/doi.org\/10.1007\/978-3-540-70932-9_13"},{"key":"437_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/978-81-322-2208-8_21","volume-title":"Computational intelligence in data mining - Volume 2. Smart innovation, systems and technologies","author":"PK Das","year":"2015","unstructured":"Das PK, Behera HS, Pradhan SK, Tripathy HK, Jena PK (2015) A Modified Real Time A* Algorithm and Its Performance Analysis for Improved Path Planning of Mobile Robot. In: Jain L, Behera H, Mandal J, Mohapatra D (eds) Computational intelligence in data mining - Volume 2. Smart innovation, systems and technologies, vol 32. Springer, New Delhi. https:\/\/doi.org\/10.1007\/978-81-322-2208-8_21"},{"key":"437_CR22","doi-asserted-by":"crossref","unstructured":"Viola P, Jones M (2001) Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001, Vol. 1, pp. I-I","DOI":"10.1109\/CVPR.2001.990517"},{"issue":"4","key":"437_CR23","first-page":"127","volume":"21","author":"PI Wilson","year":"2006","unstructured":"Wilson PI, Fernandez J (2006) Facial feature detection using Haar classifiers. J Comput Sci Coll 21(4):127\u2013133","journal-title":"J Comput Sci Coll"},{"key":"437_CR24","doi-asserted-by":"crossref","unstructured":"Feidakis M, Daradoumis T, Caball\u00e9 S (2011) Endowing e-learning systems with emotion awareness. In: 2011 Third international conference on intelligent networking and collaborative systems, pp. 68\u201375","DOI":"10.1109\/INCoS.2011.83"},{"key":"437_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-1343-1_56","volume-title":"Social transformation\u2014digital way. CSI 2018. Communications in computer and information science","author":"S Bandyopadhyay","year":"2018","unstructured":"Bandyopadhyay S, Thakur SS, Mandal JK (2018) A Novel Approach for Product Prediction Using Artificial Neural Networks. In: Mandal J, Sinha D (eds) Social transformation\u2014digital way. CSI 2018. Communications in computer and information science, vol 836. Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-13-1343-1_56"},{"issue":"2","key":"437_CR26","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1109\/TMM.2012.2229970","volume":"15","author":"M Tkalcic","year":"2012","unstructured":"Tkalcic M, Odic A, Kosir A, Tasic J (2012) Affective labeling in a content-based recommender system for images. IEEE Trans Multimed 15(2):391\u2013400","journal-title":"IEEE Trans Multimed"},{"key":"437_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7637-6_21","volume-title":"Recommender systems handbook","author":"M Tkalcic","year":"2015","unstructured":"Tkalcic M, Chen L (2015) Personality and recommender systems. In: Ricci F, Rokach L, Shapira B (eds) Recommender systems handbook. Springer, Boston. https:\/\/doi.org\/10.1007\/978-1-4899-7637-6_21"},{"key":"437_CR28","doi-asserted-by":"crossref","unstructured":"Zhang Z, Lyons M, Schuster M, Akamatsu S (1998) Comparison between geometry-based and gabor-wavelets-based facial expression recognition using multi-layer perceptron. In: Proceedings third IEEE international conference on automatic face and gesture recognition, pp. 454\u2013459","DOI":"10.1109\/AFGR.1998.670990"},{"issue":"34\u201347","key":"437_CR29","first-page":"4","volume":"4","author":"P Viola","year":"2001","unstructured":"Viola P, Jones M (2001) Robust real-time object detection. Int J Comput Vis 4(34\u201347):4","journal-title":"Int J Comput Vis"},{"issue":"2","key":"437_CR30","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P Viola","year":"2004","unstructured":"Viola P, Jones MJ (2004) Robust real-time face detection. Int J Comput Vis 57(2):137\u2013154","journal-title":"Int J Comput Vis"},{"key":"437_CR31","doi-asserted-by":"publisher","first-page":"100372","DOI":"10.1016\/j.imu.2020.100372","volume":"20","author":"A Hassouneh","year":"2020","unstructured":"Hassouneh A, Mutawa AM, Murugappan M (2020) Development of a real-time emotion recognition system using facial expressions and EEG based on machine learning and deep neural network methods. Inform Med Unlocked 20:100372","journal-title":"Inform Med Unlocked"},{"issue":"2","key":"437_CR32","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1080\/17439884.2020.1686014","volume":"45","author":"M Andrejevic","year":"2020","unstructured":"Andrejevic M, Selwyn N (2020) Facial recognition technology in schools: critical questions and concerns. Learn Media Technol 45(2):115\u2013128","journal-title":"Learn Media Technol"},{"key":"437_CR33","unstructured":"https:\/\/www.kaggle.com\/c\/challenges-in-representation-learning-facial-expression-recognition-challenge\/data"},{"key":"437_CR34","doi-asserted-by":"publisher","unstructured":"Kumar GR, Kumar RK, Sanyal G (2017) Facial emotion analysis using deep convolution neural network. In: 2017 IEEE international conference on signal processing and communication (ICSPC), doi: https:\/\/doi.org\/10.1109\/CSPC.2017.8305872","DOI":"10.1109\/CSPC.2017.8305872"},{"key":"437_CR35","unstructured":"Agarap AF (2018) Deep learning using rectified linear units (relu). arXiv preprint arXiv:1803.08375"},{"issue":"7","key":"437_CR36","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1109\/LSP.2018.2822810","volume":"25","author":"F Wang","year":"2018","unstructured":"Wang F, Cheng J, Liu W, Liu H (2018) Additive margin softmax for face verification. IEEE Signal Process Lett 25(7):926\u2013930","journal-title":"IEEE Signal Process Lett"}],"container-title":["Innovations in Systems and Software Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11334-022-00437-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11334-022-00437-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11334-022-00437-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T10:36:12Z","timestamp":1733394972000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11334-022-00437-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,17]]},"references-count":36,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["437"],"URL":"https:\/\/doi.org\/10.1007\/s11334-022-00437-7","relation":{},"ISSN":["1614-5046","1614-5054"],"issn-type":[{"value":"1614-5046","type":"print"},{"value":"1614-5054","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,17]]},"assertion":[{"value":"31 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 February 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}