{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:13:37Z","timestamp":1760710417519,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811580604"},{"type":"electronic","value":"9789811580611"}],"license":[{"start":{"date-parts":[[2020,12,11]],"date-time":"2020-12-11T00:00:00Z","timestamp":1607644800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,12,11]],"date-time":"2020-12-11T00:00:00Z","timestamp":1607644800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-15-8061-1_5","type":"book-chapter","created":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T20:08:45Z","timestamp":1607630925000},"page":"55-64","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["User Preference Multi-criteria Recommendations Using Neural Collaborative Filtering Methods"],"prefix":"10.1007","author":[{"given":"Kaira","family":"Nithin Goud","sequence":"first","affiliation":[]},{"given":"Y. V.","family":"Ramanjaneyulu","sequence":"additional","affiliation":[]},{"given":"Korra","family":"Sathya Babu","sequence":"additional","affiliation":[]},{"given":"Bidyut Kr.","family":"Patra","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,12,11]]},"reference":[{"issue":"3","key":"5_CR1","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/MIS.2007.58","volume":"22","author":"Gediminas Adomavicius","year":"2007","unstructured":"Adomavicius Gediminas, Kwon YoungOk (2007) New recommendation techniques for multicriteria rating systems. IEEE Intell Syst 22(3):48\u201355","journal-title":"IEEE Intell Syst"},{"issue":"1","key":"5_CR2","first-page":"2","volume":"5","author":"Fidel Cacheda","year":"2011","unstructured":"Cacheda Fidel, Carneiro V\u00edctor, Fern\u00e1ndez Diego, Formoso Vreixo (2011) Comparison of collaborative filtering algorithms: limitations of current techniques and proposals for scalable, high-performance recommender systems. ACM Trans Web (TWEB) 5(1):2","journal-title":"ACM Trans Web (TWEB)"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Cao S, Yang N, Liu Z (2017) Online news recommender based on stacked auto-encoder. In: 2017 IEEE\/ACIS 16th International Conference on Computer and Information Science (ICIS). IEEE, pp 721\u2013726","DOI":"10.1109\/ICIS.2017.7960088"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Elkahky AM, Song Y, He X (2015) A multi-view deep learning approach for cross domain user modeling in recommendation systems. In: Proceedings of the 24th international conference on world wide web. International World Wide Web Conferences Steering Committee, pp 278\u2013288","DOI":"10.1145\/2736277.2741667"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"He X, Liao L, Zhang H, Nie L, Hu X, Chua T-S (2017) Neural collaborative filtering. In: Proceedings of the 26th international conference on world wide web. International World Wide Web Conferences Steering Committee, pp 173\u2013182","DOI":"10.1145\/3038912.3052569"},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Herlocker JL, Konstan JA, Terveen LG, Riedl JT (2004) Evaluating collaborative filtering recommender systems. ACM Trans Inf Syst (TOIS) 22(1):5\u201353","DOI":"10.1145\/963770.963772"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Jannach D, Karakaya Z, Gedikli F (2012) Accuracy improvements for multi-criteria recommender systems. In: Proceedings of the 13th ACM conference on electronic commerce. ACM, pp 674\u2013689","DOI":"10.1145\/2229012.2229065"},{"key":"5_CR8","unstructured":"Kingma DP, Adam JB (2014) A method for stochastic optimization. arXiv:1412.6980"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Koren Y (2008) Factorization meets the neighborhood: a multifaceted collaborative filtering model. In: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 426\u2013434","DOI":"10.1145\/1401890.1401944"},{"key":"5_CR10","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"8","author":"Yehuda Koren","year":"2009","unstructured":"Koren Yehuda, Bell Robert, Volinsky Chris (2009) Matrix factorization techniques for recommender systems. Computer 8:30\u201337","journal-title":"Computer"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Liu L, Mehandjiev N, Xu D-L (2011) Multi-criteria service recommendation based on user criteria preferences. In: Proceedings of the fifth ACM conference on Recommender systems. ACM, pp 77\u201384","DOI":"10.1145\/2043932.2043950"},{"issue":"1","key":"5_CR12","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1287\/isre.1100.0336","volume":"23","author":"Nachiketa Sahoo","year":"2012","unstructured":"Sahoo Nachiketa, Krishnan Ramayya, Duncan George, Callan Jamie (2012) Research note\u2013the halo effect in multicomponent ratings and its implications for recommender systems: The case of yahoo! movies. Inf Syst Res 23(1):231\u2013246","journal-title":"Inf Syst Res"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Sarwar BM, Karypis G, Konstan JA, Riedl J et al (2001) Item-based collaborative ltering recommendation algorithms. Www 1:285\u2013295","DOI":"10.1145\/371920.372071"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Sreepada RS, Patra BK, Hernando A (2017) Multi-criteria recommendations through preference learning. In Proceedings of the fourth ACM IKDD conferences on data sciences. ACM, p 1","DOI":"10.1145\/3041823.3041824"},{"key":"5_CR15","unstructured":"Steffen R (2010) Factorization machines. In: IEEE 10th International Conference on Data Mining (ICDM), pp 995\u20131000"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Strub F, Gaudel R, Mary J (2016) Hybrid recommender system based on autoencoders. In: Proceedings of the 1st workshop on deep learning for recommender systems. ACM, pp 11\u201316","DOI":"10.1145\/2988450.2988456"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Wang H, Lu Y, Zhai CX (2011) Latent aspect rating analysis without aspect keyword supervision. In: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 618\u2013626","DOI":"10.1145\/2020408.2020505"},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Wu Y, DuBois C, Zheng AX, Ester M (2016) Collaborative denoising auto-encoders for top-n recommender systems. In: Proceedings of the ninth ACM international conference on web search and data mining. ACM, pp 153\u2013162","DOI":"10.1145\/2835776.2835837"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Zheng Y (2017) Criteria chains: a novel multi-criteria recommendation approach. In: Proceedings of the 22nd international conference on intelligent user interfaces. ACM, pp 29\u201333","DOI":"10.1145\/3025171.3025215"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Zheng Y (2019) Utility-based multi-criteria recommender systems. In: Proceedings of the 34th ACM\/SIGAPP symposium on applied computing. ACM, pp 2529\u20132531","DOI":"10.1145\/3297280.3297641"}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the Sixth International Conference on Mathematics and Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-8061-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T20:10:29Z","timestamp":1607631029000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-8061-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,11]]},"ISBN":["9789811580604","9789811580611"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-8061-1_5","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,12,11]]},"assertion":[{"value":"11 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}