{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:26:24Z","timestamp":1750220784958,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Science Foundation","award":["SCH-1838615","IIS-1553568"],"award-info":[{"award-number":["SCH-1838615","IIS-1553568"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403051","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:17:27Z","timestamp":1597965447000},"page":"85-94","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Directional Multivariate Ranking"],"prefix":"10.1145","author":[{"given":"Nan","family":"Wang","sequence":"first","affiliation":[{"name":"University of Virginia, Charlottesville, VA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongning","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Virginia, Charlottesville, VA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2005.05.012"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Kayhan Batmanghelich Ardavan Saeedi Karthik Narasimhan and Sam Gershman. 2016. Nonparametric Spherical Topic Modeling with Word Embeddings.  Kayhan Batmanghelich Ardavan Saeedi Karthik Narasimhan and Sam Gershman. 2016. Nonparametric Spherical Topic Modeling with Word Embeddings.","DOI":"10.18653\/v1\/P16-2087"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098170"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623758"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"e_1_3_2_1_7_1","volume-title":"Item Response Theory for Psychologists. Quality of Life Research","author":"Fayers Peter","year":"2004","unstructured":"Peter Fayers . 2004. Item Response Theory for Psychologists. Quality of Life Research ( 2004 ). Peter Fayers. 2004. Item Response Theory for Psychologists. Quality of Life Research (2004)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1953.0064"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/0047-259X(79)90056-3"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018699"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2124295.2124350"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291022"},{"volume-title":"Proceedings of the 20th WWW (WWW'11)","author":"Lu Yue","key":"e_1_3_2_1_14_1","unstructured":"Yue Lu , Malu Castellanos , Umeshwar Dayal , and ChengXiang Zhai . [n.d.]. Automatic Construction of a Context-aware Sentiment Lexicon: An Optimization Approach . In Proceedings of the 20th WWW (WWW'11) . Yue Lu, Malu Castellanos, Umeshwar Dayal, and ChengXiang Zhai. [n.d.]. Automatic Construction of a Context-aware Sentiment Lexicon: An Optimization Approach. In Proceedings of the 20th WWW (WWW'11)."},{"key":"e_1_3_2_1_15_1","volume-title":"Arora","author":"Timothy Marler R.","year":"2010","unstructured":"R. Timothy Marler and Jasbir S . Arora . 2010 . The weighted sum method for multi-objective optimization: new insights. Structural and Multidisciplinary Optimization ( 2010). R. Timothy Marler and Jasbir S. Arora. 2010. The weighted sum method for multi-objective optimization: new insights. Structural and Multidisciplinary Optimization (2010)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507163"},{"key":"e_1_3_2_1_17_1","volume-title":"Learning Attitudes and Attributes from Multi-Aspect Reviews. CoRR","author":"McAuley Julian J.","year":"2012","unstructured":"Julian J. McAuley , Jure Leskovec , and Dan Jurafsky . 2012. Learning Attitudes and Attributes from Multi-Aspect Reviews. CoRR , Vol. abs\/ 1210 .3926 ( 2012 ). Julian J. McAuley, Jure Leskovec, and Dan Jurafsky. 2012. Learning Attitudes and Attributes from Multi-Aspect Reviews. CoRR, Vol. abs\/1210.3926 (2012)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.04.044"},{"key":"e_1_3_2_1_19_1","unstructured":"Kevin Murphy. 2007. Conjugate Bayesian analysis of the Gaussian distribution. (2007).  Kevin Murphy. 2007. Conjugate Bayesian analysis of the Gaussian distribution. (2007)."},{"key":"e_1_3_2_1_20_1","volume-title":"The Multivariate Generalised von Mises: Inference and applications. (02","author":"Navarro Alexandre","year":"2016","unstructured":"Alexandre Navarro , Jes Frellsen , and Richard Turner . 2016. The Multivariate Generalised von Mises: Inference and applications. (02 2016 ). Alexandre Navarro, Jes Frellsen, and Richard Turner. 2016. The Multivariate Generalised von Mises: Inference and applications. (02 2016)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.2307\/1913610"},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the 24th IJCAI (IJCAI'15)","author":"Rai Piyush","year":"2015","unstructured":"Piyush Rai , Changwei Hu , Matthew Harding , and Lawrence Carin . 2015 . Scalable Probabilistic Tensor Factorization for Binary and Count Data . In Proceedings of the 24th IJCAI (IJCAI'15) . Piyush Rai, Changwei Hu, Matthew Harding, and Lawrence Carin. 2015. Scalable Probabilistic Tensor Factorization for Binary and Count Data. In Proceedings of the 24th IJCAI (IJCAI'15)."},{"volume-title":"Proceedings of the 10th WSDM (WSDM '17)","author":"Ren Zhaochun","key":"e_1_3_2_1_23_1","unstructured":"Zhaochun Ren , Shangsong Liang , Piji Li , Shuaiqiang Wang , and Maarten de Rijke . [n.d.]. Social Collaborative Viewpoint Regression with Explainable Recommendations . In Proceedings of the 10th WSDM (WSDM '17) . Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, and Maarten de Rijke. [n.d.]. Social Collaborative Viewpoint Regression with Explainable Recommendations. In Proceedings of the 10th WSDM (WSDM '17)."},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the 25th UAI (UAI '09)","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle , Christoph Freudenthaler , Zeno Gantner , and Lars Schmidt-Thieme . 2009 . BPR: Bayesian Personalized Ranking from Implicit Feedback . In Proceedings of the 25th UAI (UAI '09) . Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian Personalized Ranking from Implicit Feedback. In Proceedings of the 25th UAI (UAI '09)."},{"key":"e_1_3_2_1_25_1","volume-title":"An Overview of Multi-Task Learning in Deep Neural Networks. CoRR","author":"Ruder Sebastian","year":"2017","unstructured":"Sebastian Ruder . 2017. An Overview of Multi-Task Learning in Deep Neural Networks. CoRR , Vol. abs\/ 1706 .05098 ( 2017 ). Sebastian Ruder. 2017. An Overview of Multi-Task Learning in Deep Neural Networks. CoRR, Vol. abs\/1706.05098 (2017)."},{"key":"e_1_3_2_1_26_1","unstructured":"Nachiketa Sahoo Ramayya Krishnan George Duncan and Jamie Callan. 2008. On Multi-component Rating and Collaborative Filtering for Recommender Systems: The Case of Yahoo ! Movies. Info. Sys. Research.  Nachiketa Sahoo Ramayya Krishnan George Duncan and Jamie Callan. 2008. On Multi-component Rating and Collaborative Filtering for Recommender Systems: The Case of Yahoo ! Movies. Info. Sys. Research."},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the 20th International Conference on NeurIPS (NIPS'07)","author":"Salakhutdinov Ruslan","year":"2007","unstructured":"Ruslan Salakhutdinov and Andriy Mnih . 2007 . Probabilistic Matrix Factorization . In Proceedings of the 20th International Conference on NeurIPS (NIPS'07) . Ruslan Salakhutdinov and Andriy Mnih. 2007. Probabilistic Matrix Factorization. In Proceedings of the 20th International Conference on NeurIPS (NIPS'07)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240412"},{"key":"e_1_3_2_1_29_1","volume-title":"Ordinary Differential Equations and Laplace Transforms","author":"Tang Kwong Tin","year":"2007","unstructured":"Kwong Tin Tang . 2007. Mathematical Methods for Engineers and Scientists 2 : Vector Analysis , Ordinary Differential Equations and Laplace Transforms . Springer Berlin ( 2007 ). Kwong Tin Tang. 2007. Mathematical Methods for Engineers and Scientists 2 : Vector Analysis, Ordinary Differential Equations and Laplace Transforms. Springer Berlin (2007)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331244"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835903"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020505"},{"key":"e_1_3_2_1_33_1","volume-title":"BPMR: Bayesian Probabilistic Multivariate Ranking. arxiv: cs.IR\/1909.08737","author":"Wang Nan","year":"2019","unstructured":"Nan Wang and Hongning Wang . 2019 . BPMR: Bayesian Probabilistic Multivariate Ranking. arxiv: cs.IR\/1909.08737 Nan Wang and Hongning Wang. 2019. BPMR: Bayesian Probabilistic Multivariate Ranking. arxiv: cs.IR\/1909.08737"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210010"},{"volume-title":"Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. In 2010 SIAM International Conference on Data Mining.","author":"Xiong Liang","key":"e_1_3_2_1_35_1","unstructured":"Liang Xiong , Xi Chen , Tzu-Kuo Huang , Jeff Schneider , and Jaime G. Carbonell . [n.d.] . Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. In 2010 SIAM International Conference on Data Mining. Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneider, and Jaime G. Carbonell. [n.d.]. Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. In 2010 SIAM International Conference on Data Mining."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609579"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025171.3025215"}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Virtual Event CA USA","acronym":"KDD '20"},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403051","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403051","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403051","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:37Z","timestamp":1750200097000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403051"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":36,"alternative-id":["10.1145\/3394486.3403051","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403051","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}