{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T23:13:44Z","timestamp":1756682024310,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"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":[[2019,7,25]]},"DOI":"10.1145\/3292500.3330973","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"1104-1113","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Modeling Dwell Time Engagement on Visual Multimedia"],"prefix":"10.1145","author":[{"given":"Hemank","family":"Lamba","sequence":"first","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA, USA"}]},{"given":"Neil","family":"Shah","sequence":"additional","affiliation":[{"name":"Snap Inc., Los Angeles, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"volume-title":"Log-logistic regression models for survival data. Applied Statistics","year":"1983","author":"Bennett Steve","key":"e_1_3_2_1_1_1"},{"unstructured":"YouTube Offical Blog. 2017. You know what's cool? A billion hours. https:\/\/goo.gl\/zPNNT7 . (2017). YouTube Offical Blog. 2017. You know what's cool? A billion hours. https:\/\/goo.gl\/zPNNT7 . (2017).","key":"e_1_3_2_1_2_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_3_1","DOI":"10.1145\/2911451.2911504"},{"doi-asserted-by":"crossref","unstructured":"Eric Bouy\u00e9 Valdo Durrleman Ashkan Nikeghbali Ga\u00ebl Riboulet and Thierry Roncalli. 2000. Copulas for finance-a reading guide and some applications. (2000). Eric Bouy\u00e9 Valdo Durrleman Ashkan Nikeghbali Ga\u00ebl Riboulet and Thierry Roncalli. 2000. Copulas for finance-a reading guide and some applications. (2000).","key":"e_1_3_2_1_4_1","DOI":"10.2139\/ssrn.1032533"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1145\/2700290"},{"volume-title":"Pair-copula constructions of multivariate copulas. Copula theory and its applications","author":"Czado Claudia","key":"e_1_3_2_1_6_1"},{"volume-title":"Discriminating between the log-normal and log-logistic distributions. Commun. Stat. Theory Methods","year":"2009","author":"Dey Arabin Kumar","key":"e_1_3_2_1_7_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1145\/2783258.2783294"},{"key":"e_1_3_2_1_9_1","volume-title":"Water Resources","volume":"40","author":"Favre A. C.","year":"2004"},{"doi-asserted-by":"crossref","unstructured":"Arthur Gretton Karsten M Borgwardt Malte Rasch Bernhard Sch\u00f6lkopf and Alex J Smola. 2007. A kernel method for the two-sample-problem. In NIPS. 513--520. Arthur Gretton Karsten M Borgwardt Malte Rasch Bernhard Sch\u00f6lkopf and Alex J Smola. 2007. A kernel method for the two-sample-problem. In NIPS. 513--520.","key":"e_1_3_2_1_10_1","DOI":"10.7551\/mitpress\/7503.003.0069"},{"key":"e_1_3_2_1_11_1","volume-title":"Eng.","volume":"123","author":"Haas Charles N","year":"1997"},{"volume-title":"Time series analysis","author":"Hamilton James Douglas","key":"e_1_3_2_1_12_1"},{"doi-asserted-by":"crossref","unstructured":"D. Juan N. Shah M. Tang Z. Qian D. Marculescu and C. Faloutsos. 2017. M3A: Model MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. In DSAA. 341--350. D. Juan N. Shah M. Tang Z. Qian D. Marculescu and C. Faloutsos. 2017. M3A: Model MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. In DSAA. 341--350.","key":"e_1_3_2_1_13_1","DOI":"10.1109\/DSAA.2017.2"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1145\/2556195.2556220"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1137\/S1052623496303470"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1145\/1835449.1835513"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1145\/2872427.2882980"},{"key":"e_1_3_2_1_18_1","volume-title":"Empirical Economics","volume":"41","author":"Jos\u00e9","year":"2011"},{"unstructured":"Thomas Nagler. 2018. VineCopula. https:\/\/cran.r-project.org\/web\/packages\/VineCopula\/VineCopula.pdf . (2018). Thomas Nagler. 2018. VineCopula. https:\/\/cran.r-project.org\/web\/packages\/VineCopula\/VineCopula.pdf . (2018).","key":"e_1_3_2_1_19_1"},{"volume-title":"An introduction to copulas","author":"Nelsen R. B.","doi-asserted-by":"crossref","key":"e_1_3_2_1_20_1","DOI":"10.1007\/978-1-4757-3076-0"},{"key":"e_1_3_2_1_21_1","volume-title":"IBC","volume":"19","author":"Ridout Martin","year":"1998"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.1145\/3038912.3052617"},{"unstructured":"TIME. 2016a. Here'??s How Much Time Snapchat Users Spend on the App. http:\/\/time.com\/4272935\/snapchat-users-usage-time-app-advertising\/. (2016). TIME. 2016a. Here'??s How Much Time Snapchat Users Spend on the App. http:\/\/time.com\/4272935\/snapchat-users-usage-time-app-advertising\/. (2016).","key":"e_1_3_2_1_23_1"},{"unstructured":"TIME. 2016b. Instagram Just Hit the 500 Million User Mark. http:\/\/time.com\/money\/4376329\/instagram-users\/. (2016). TIME. 2016b. Instagram Just Hit the 500 Million User Mark. http:\/\/time.com\/money\/4376329\/instagram-users\/. (2016).","key":"e_1_3_2_1_24_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1007\/978-3-642-15939-8_23"},{"unstructured":"Songhua Xu Hao Jiang and Francis Chi-Moon Lau. 2011. Mining user dwell time for personalized web search re-ranking. In IJCAI. AAAI. Songhua Xu Hao Jiang and Francis Chi-Moon Lau. 2011. Mining user dwell time for personalized web search re-ranking. In IJCAI. AAAI.","key":"e_1_3_2_1_26_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.1145\/2645710.2645724"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1145\/2487575.2487663"}],"event":{"sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"acronym":"KDD '19","name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA"},"container-title":["Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330973","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330973","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:04Z","timestamp":1750206364000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330973"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":28,"alternative-id":["10.1145\/3292500.3330973","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330973","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}