{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T17:09:55Z","timestamp":1778605795483,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,9,15]],"date-time":"2016-09-15T00:00:00Z","timestamp":1473897600000},"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":[[2016,9,15]]},"DOI":"10.1145\/2988450.2988456","type":"proceedings-article","created":{"date-parts":[[2016,10,4]],"date-time":"2016-10-04T12:32:49Z","timestamp":1475584369000},"page":"11-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":163,"title":["Hybrid Recommender System based on Autoencoders"],"prefix":"10.1145","author":[{"given":"Florian","family":"Strub","sequence":"first","affiliation":[{"name":"Univ. Lille, CNRS, Centrale Lille, Inria, Lille, France"}]},{"given":"Romaric","family":"Gaudel","sequence":"additional","affiliation":[{"name":"Univ. Lille, CNRS, Centrale Lille, Inria, Lille, France"}]},{"given":"J\u00e9r\u00e9mie","family":"Mary","sequence":"additional","affiliation":[{"name":"Univ. Lille, CNRS, Centrale Lille, Inria, Lille, France"}]}],"member":"320","published-online":{"date-parts":[[2016,9,15]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proc. of UAI'10","author":"Adams R. P.","year":"2010","unstructured":"R. P. Adams and G. E. D. I. Murray . Incorporating side information in probabilistic matrix factorization with gaussian processes . In Proc. of UAI'10 , 2010 . R. P. Adams and G. E. D. I. Murray. Incorporating side information in probabilistic matrix factorization with gaussian processes. In Proc. of UAI'10, 2010."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural networks for pattern recognition. Oxford univ","author":"Bishop C. M.","year":"1995","unstructured":"C. M. Bishop . Neural networks for pattern recognition. Oxford univ . press, 1995 . C. M. Bishop. Neural networks for pattern recognition. Oxford univ. press, 1995."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767718"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/2503308.2503357"},{"key":"e_1_3_2_1_5_1","volume-title":"Neural network matrix factorization. arXiv preprint arXiv:1511.06443","author":"Dziugaite G.","year":"2015","unstructured":"G. Dziugaite and D. Roy . Neural network matrix factorization. arXiv preprint arXiv:1511.06443 , 2015 . G. Dziugaite and D. Roy. Neural network matrix factorization. arXiv preprint arXiv:1511.06443, 2015."},{"key":"e_1_3_2_1_6_1","first-page":"249","volume-title":"Proc. of AISTATS'10","author":"Glorot X.","year":"2010","unstructured":"X. Glorot and Y. Bengio . Understanding the difficulty of training deep feedforward neural networks . In Proc. of AISTATS'10 , pages 249 -- 256 , 2010 . X. Glorot and Y. Bengio. Understanding the difficulty of training deep feedforward neural networks. In Proc. of AISTATS'10, pages 249--256, 2010."},{"key":"e_1_3_2_1_7_1","first-page":"315","volume-title":"Proc. of AISTATS'11","author":"Glorot X.","year":"2011","unstructured":"X. Glorot , A. Bordes , and Y. Bengio . Deep sparse rectifier neural networks . In Proc. of AISTATS'11 , pages 315 -- 323 , 2011 . X. Glorot, A. Bordes, and Y. Bengio. Deep sparse rectifier neural networks. In Proc. of AISTATS'11, pages 315--323, 2011."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2843948"},{"key":"e_1_3_2_1_9_1","volume-title":"Proc. of AISTATS'14","author":"Kim Y.-D.","year":"2014","unstructured":"Y.-D. Kim and S. Choi . Scalable variational bayesian matrix factorization with side information . In Proc. of AISTATS'14 , Reykjavik, Iceland , 2014 . Y.-D. Kim and S. Choi. Scalable variational bayesian matrix factorization with side information. In Proc. of AISTATS'14, Reykjavik, Iceland, 2014."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690370209"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5120\/15279-4033"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/3-540-49430-8_2","volume-title":"Neural networks: Tricks of the trade","author":"LeCun Y.","year":"1998","unstructured":"Y. LeCun , L. Bottou , G. Orr , and K. Muller . Efficient backprop . In Neural networks: Tricks of the trade , pages 9 -- 48 . Springer , 1998 . Y. LeCun, L. Bottou, G. Orr, and K. Muller. Efficient backprop. In Neural networks: Tricks of the trade, pages 9--48. Springer, 1998."},{"key":"e_1_3_2_1_15_1","first-page":"801","volume-title":"Advances in neural information processing systems","author":"Lee H.","year":"2006","unstructured":"H. Lee , A. Battle , R. Raina , and A. Ng . Efficient sparse coding algorithms . In Advances in neural information processing systems , pages 801 -- 808 , 2006 . H. Lee, A. Battle, R. Raina, and A. Ng. Efficient sparse coding algorithms. In Advances in neural information processing systems, pages 801--808, 2006."},{"key":"e_1_3_2_1_16_1","first-page":"82","volume-title":"Proc. of ICML'13","author":"Lee J.","year":"2013","unstructured":"J. Lee , S. Kim , G. Lebanon , and Y. Singerm . Local low-rank matrix approximation . In Proc. of ICML'13 , pages 82 -- 90 , 2013 . J. Lee, S. Kim, G. Lebanon, and Y. Singerm. Local low-rank matrix approximation. In Proc. of ICML'13, pages 82--90, 2013."},{"key":"e_1_3_2_1_17_1","volume-title":"A comparative study of collaborative filtering algorithms. arXiv preprint arXiv:1205.3193","author":"Lee J.","year":"2012","unstructured":"J. Lee , M. Sun , and G. Lebanon . A comparative study of collaborative filtering algorithms. arXiv preprint arXiv:1205.3193 , 2012 . J. Lee, M. Sun, and G. Lebanon. A comparative study of collaborative filtering algorithms. arXiv preprint arXiv:1205.3193, 2012."},{"key":"e_1_3_2_1_18_1","volume-title":"Proc. of ICML'16","author":"Li D.","year":"2016","unstructured":"D. Li , C. Chen , Q. Lv , J. Yan , L. Shang , and S. Chu . Low-rank matrix approximation with stability . In Proc. of ICML'16 , 2016 . D. Li, C. Chen, Q. Lv, J. Yan, L. Shang, and S. Chu. Low-rank matrix approximation with stability. In Proc. of ICML'16, 2016."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806527"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3_3"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935877"},{"issue":"2","key":"e_1_3_2_1_22_1","first-page":"604","volume":"27","author":"Miranda V.","year":"2012","unstructured":"V. Miranda , J. Krstulovic , H. Keko , C. Moreira , and J. Pereira . Reconstructing Missing Data in State Estimation With Autoencoders. IEEE Transactions on Power Systems , 27 ( 2 ): 604 -- 611 , 2012 . V. Miranda, J. Krstulovic, H. Keko, C. Moreira, and J. Pereira. Reconstructing Missing Data in State Estimation With Autoencoders. IEEE Transactions on Power Systems, 27(2):604--611, 2012.","journal-title":"Reconstructing Missing Data in State Estimation With Autoencoders. IEEE Transactions on Power Systems"},{"key":"e_1_3_2_1_23_1","first-page":"1257","volume-title":"NIPS'07","author":"Mnih A.","year":"2007","unstructured":"A. Mnih and R. Salakhutdinov . Probabilistic matrix factorization . In NIPS'07 , pages 1257 -- 1264 , 2007 . A. Mnih and R. Salakhutdinov. Probabilistic matrix factorization. In NIPS'07, pages 1257--1264, 2007."},{"key":"e_1_3_2_1_24_1","volume-title":"Proc. of AAAI'10","author":"Porteous I.","year":"2010","unstructured":"I. Porteous and M. W. A. U. Asuncion . Bayesian matrix factorization with side information and dirichlet process mixtures . In Proc. of AAAI'10 , 2010 . I. Porteous and M. W. A. U. Asuncion. Bayesian matrix factorization with side information and dirichlet process mixtures. In Proc. of AAAI'10, 2010."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390267"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273596"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742726"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_1_30_1","volume-title":"Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs. In NIPS Workshop on Machine Learning for eCommerce","author":"Strub F.","year":"2015","unstructured":"F. Strub and J. Mary . Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs. In NIPS Workshop on Machine Learning for eCommerce , Montreal, Canada , 2015 . F. Strub and J. Mary. Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs. In NIPS Workshop on Machine Learning for eCommerce, Montreal, Canada, 2015."},{"key":"e_1_3_2_1_31_1","first-page":"373","volume-title":"A. International Conference On Informatics in Control and Robotics, editors, ICINCO and CAP","author":"Teytaud O.","year":"2007","unstructured":"O. Teytaud , S. Gelly , and J. Mary . Active learning in regression, with application to stochastic dynamic programming . In A. International Conference On Informatics in Control and Robotics, editors, ICINCO and CAP , pages 373 -- 386 , 2007 . O. Teytaud, S. Gelly, and J. Mary. Active learning in regression, with application to stochastic dynamic programming. In A. International Conference On Informatics in Control and Robotics, editors, ICINCO and CAP, pages 373--386, 2007."},{"key":"e_1_3_2_1_32_1","first-page":"128","volume-title":"Training Neural Networks with Deficient Data. Advances in Neural Information Processing Systems 6","author":"Tresp V.","year":"1994","unstructured":"V. Tresp , S. Ahmad , and R. Neuneier . Training Neural Networks with Deficient Data. Advances in Neural Information Processing Systems 6 , pages 128 -- 135 , 1994 . V. Tresp, S. Ahmad, and R. Neuneier. Training Neural Networks with Deficient Data. Advances in Neural Information Processing Systems 6, pages 128--135, 1994."},{"key":"e_1_3_2_1_33_1","first-page":"548","volume-title":"Proc. of UAI'09","author":"Truyen T. T.","year":"2009","unstructured":"T. T. Truyen , D. Phung , and S. Venkatesh . Ordinal boltzmann machines for collaborative filtering . In Proc. of UAI'09 , pages 548 -- 556 . AUAI Press , 2009 . T. T. Truyen, D. Phung, and S. Venkatesh. Ordinal boltzmann machines for collaborative filtering. In Proc. of UAI'09, pages 548--556. AUAI Press, 2009."},{"key":"e_1_3_2_1_34_1","first-page":"2643","volume-title":"Proc. of NIPS'13","author":"Van den Oord A.","year":"2013","unstructured":"A. Van den Oord , S. Dieleman , and B. Schrauwen . Deep content-based music recommendation . In Proc. of NIPS'13 , pages 2643 -- 2651 , 2013 . A. Van den Oord, S. Dieleman, and B. Schrauwen. Deep content-based music recommendation. In Proc. of NIPS'13, pages 2643--2651, 2013."},{"issue":"3","key":"e_1_3_2_1_35_1","first-page":"3371","article-title":"Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion","volume":"11","author":"Vincent P.","year":"2010","unstructured":"P. Vincent , H. Larochelle , I. Lajoie , Y. Bengio , and P. Manzagol . Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion . Jour. of Mach. Learn. Res. , 11 ( 3 ): 3371 -- 3408 , 2010 . P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P. Manzagol. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. Jour. of Mach. Learn. Res., 11(3):3371--3408, 2010.","journal-title":"Jour. of Mach. Learn. Res."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783273"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654940"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835837"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68880-8_32"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.22"}],"event":{"name":"DLRS 2016: Workshop on Deep Learning for Recommender Systems","location":"Boston MA USA","acronym":"DLRS 2016","sponsor":["IBMR IBM Research"]},"container-title":["Proceedings of the 1st Workshop on Deep Learning for Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2988450.2988456","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2988450.2988456","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:50:37Z","timestamp":1750218637000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2988450.2988456"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,15]]},"references-count":40,"alternative-id":["10.1145\/2988450.2988456","10.1145\/2988450"],"URL":"https:\/\/doi.org\/10.1145\/2988450.2988456","relation":{},"subject":[],"published":{"date-parts":[[2016,9,15]]},"assertion":[{"value":"2016-09-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}