{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T22:55:22Z","timestamp":1769640922444,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,27]],"date-time":"2017-08-27T00:00:00Z","timestamp":1503792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"National Science Foundation Graduate Research Fellowship","award":["DGE-1144245"],"award-info":[{"award-number":["DGE-1144245"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,27]]},"DOI":"10.1145\/3109859.3109911","type":"proceedings-article","created":{"date-parts":[[2017,8,24]],"date-time":"2017-08-24T11:58:11Z","timestamp":1503575891000},"page":"201-209","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Folding"],"prefix":"10.1145","author":[{"given":"Doris","family":"Xin","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Urbana, IL, USA"}]},{"given":"Nicolas","family":"Mayoraz","sequence":"additional","affiliation":[{"name":"Google Research, Mountain View, CA, USA"}]},{"given":"Hubert","family":"Pham","sequence":"additional","affiliation":[{"name":"Google Research, Mountain View, CA, USA"}]},{"given":"Karthik","family":"Lakshmanan","sequence":"additional","affiliation":[{"name":"Google Research, Mountain View, CA, USA"}]},{"given":"John R.","family":"Anderson","sequence":"additional","affiliation":[{"name":"Google Research, Mountain View, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2017,8,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2559952"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741678"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864721"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864761"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972801.18"},{"key":"e_1_3_2_1_6_1","volume-title":"A survey of accuracy evaluation metrics of recommendation tasks. Journal of Machine Learning Research","author":"Gunawardana Asela","year":"2009","unstructured":"Asela Gunawardana and Guy Shani . 2009. A survey of accuracy evaluation metrics of recommendation tasks. Journal of Machine Learning Research ( 2009 ). Asela Gunawardana and Guy Shani. 2009. A survey of accuracy evaluation metrics of recommendation tasks. Journal of Machine Learning Research (2009)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"e_1_3_2_1_8_1","unstructured":"Elad Hazan Roi Livni and Yishay Mansour. 2015. Classification with Low Rank and Missing Data. In ICML.   Elad Hazan Roi Livni and Yishay Mansour. 2015. Classification with Low Rank and Missing Data. In ICML."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/358916.358995"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/963770.963772"},{"key":"e_1_3_2_1_11_1","unstructured":"Jos\u00e9 Miguel Hern\u00e1ndez-Lobato Neil Houlsby and Zoubin Ghahramani. 2014. Probabilistic Matrix Factorization with Non-random Missing Data. In ICML.   Jos\u00e9 Miguel Hern\u00e1ndez-Lobato Neil Houlsby and Zoubin Ghahramani. 2014. Probabilistic Matrix Factorization with Non-random Missing Data. In ICML."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"e_1_3_2_1_13_1","volume-title":"On Using Very Large Target Vocabulary for Neural Machine Translation","author":"Jean S\u00e9bastien","year":"2015","unstructured":"S\u00e9bastien Jean , Kyunghyun Cho , Roland Memisevic , and Yoshua Bengio . 2015. On Using Very Large Target Vocabulary for Neural Machine Translation . Association for Computational Linguistics ( 2015 ). S\u00e9bastien Jean, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio. 2015. On Using Very Large Target Vocabulary for Neural Machine Translation. Association for Computational Linguistics (2015)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835487"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-011-9118-4"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-011-9112-x"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883090"},{"key":"e_1_3_2_1_19_1","volume-title":"Rubin","author":"Little Roderick J. A.","year":"2014","unstructured":"Roderick J. A. Little and Donald B . Rubin . 2014 . Statistical analysis with missing data. John Wiley & Sons . Roderick J. A. Little and Donald B. Rubin. 2014. Statistical analysis with missing data. John Wiley & Sons."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1639714.1639717"},{"key":"e_1_3_2_1_21_1","volume-title":"Uncertainty in Artificial Intelligence (UAI)","author":"Marlin Benjamin M.","unstructured":"Benjamin M. Marlin , Richard S. Zemel , Sam Roweis , and Malcolm Slaney . 2007. Collaborative Filtering and the Missing at Random Assumption . In Uncertainty in Artificial Intelligence (UAI) . AUAI Press . Benjamin M. Marlin, Richard S. Zemel, Sam Roweis, and Malcolm Slaney. 2007. Collaborative Filtering and the Missing at Random Assumption. In Uncertainty in Artificial Intelligence (UAI). AUAI Press."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1125451.1125660"},{"key":"e_1_3_2_1_23_1","unstructured":"Andriy Mnih and Koray Kavukcuoglu. 2013. Learning word embeddings efficiently with noise-contrastive estimation. In NIPS.   Andriy Mnih and Koray Kavukcuoglu. 2013. Learning word embeddings efficiently with noise-contrastive estimation. In NIPS."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557094"},{"key":"e_1_3_2_1_25_1","volume-title":"One-Class Collaborative Filtering","author":"Pan Rong","unstructured":"Rong Pan , Yunhong Zhou , Bin Cao , Nathan N. Liu , Rajan Lukose , Martin Scholz , and Qiang Yang . 2008. One-Class Collaborative Filtering . In ICDM. IEEE Computer Society . Rong Pan, Yunhong Zhou, Bin Cao, Nathan N. Liu, Rajan Lukose, Martin Scholz, and Qiang Yang. 2008. One-Class Collaborative Filtering. In ICDM. IEEE Computer Society."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2365952.2365982"},{"key":"e_1_3_2_1_27_1","volume-title":"Recommendations as treatments: Debiasing learning and evaluation. arXiv preprint arXiv:1602.05352","author":"Schnabel Tobias","year":"2016","unstructured":"Tobias Schnabel , Adith Swaminathan , Ashudeep Singh , Navin Chandak , and Thorsten Joachims . 2016. Recommendations as treatments: Debiasing learning and evaluation. arXiv preprint arXiv:1602.05352 ( 2016 ). Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, and Thorsten Joachims. 2016. Recommendations as treatments: Debiasing learning and evaluation. arXiv preprint arXiv:1602.05352 (2016)."},{"key":"e_1_3_2_1_28_1","volume-title":"Recommender systems handbook","author":"Shani Guy","unstructured":"Guy Shani and Asela Gunawardana . 2011. Evaluating recommendation systems . In Recommender systems handbook . Springer , 257--297. Guy Shani and Asela Gunawardana. 2011. Evaluating recommendation systems. In Recommender systems handbook. Springer, 257--297."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835895"},{"key":"e_1_3_2_1_30_1","unstructured":"Hsiang-Fu Yu Mikhail Bilenko and Chih-Jen Lin. 2017. Selection of Negative Samples for One-class Matrix Factorization. In SDM. SIAM.  Hsiang-Fu Yu Mikhail Bilenko and Chih-Jen Lin. 2017. Selection of Negative Samples for One-class Matrix Factorization. In SDM. SIAM."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Yin Zheng Bangsheng Tang Wenkui Ding and Hanning Zhou. 2016. A Neural Autoregressive Approach to Collaborative Filtering. In ICML.   Yin Zheng Bangsheng Tang Wenkui Ding and Hanning Zhou. 2016. A Neural Autoregressive Approach to Collaborative Filtering. In ICML.","DOI":"10.1145\/2988450.2988453"}],"event":{"name":"RecSys '17: Eleventh ACM Conference on Recommender Systems","location":"Como Italy","acronym":"RecSys '17","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGecom Special Interest Group on Economics and Computation"]},"container-title":["Proceedings of the Eleventh ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3109859.3109911","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3109859.3109911","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:37:30Z","timestamp":1750217850000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3109859.3109911"}},"subtitle":["Why Good Models Sometimes Make Spurious Recommendations"],"short-title":[],"issued":{"date-parts":[[2017,8,27]]},"references-count":31,"alternative-id":["10.1145\/3109859.3109911","10.1145\/3109859"],"URL":"https:\/\/doi.org\/10.1145\/3109859.3109911","relation":{},"subject":[],"published":{"date-parts":[[2017,8,27]]},"assertion":[{"value":"2017-08-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}