{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T07:17:14Z","timestamp":1758266234872,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T00:00:00Z","timestamp":1587340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,4,20]]},"DOI":"10.1145\/3366423.3380233","type":"proceedings-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T08:11:44Z","timestamp":1588579904000},"page":"1615-1624","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data"],"prefix":"10.1145","author":[{"given":"Dongmin","family":"Park","sequence":"first","affiliation":[{"name":"Korea Advanced Institute of Science and Technology"}]},{"given":"Hwanjun","family":"Song","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology"}]},{"given":"Minseok","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology"}]},{"given":"Jae-Gil","family":"Lee","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology"}]}],"member":"320","published-online":{"date-parts":[[2020,4,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the 13th AAAI Conference on Artificial Intelligence. AAAI, 1145\u20131152","author":"Cao Shaosheng","year":"2016","unstructured":"Shaosheng Cao , Wei Lu , and Qiongkai Xu . 2016 . Deep Neural Networks for Learning Graph Representations . In Proceedings of the 13th AAAI Conference on Artificial Intelligence. AAAI, 1145\u20131152 . Shaosheng Cao, Wei Lu, and Qiongkai Xu. 2016. Deep Neural Networks for Learning Graph Representations. In Proceedings of the 13th AAAI Conference on Artificial Intelligence. AAAI, 1145\u20131152."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1137\/070710111"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/3304222.3304235"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330866"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the 27th International Conference on Neural Information Processing Systems. NeurIPS Foundation, 2672\u20132680","author":"Goodfellow Ian","year":"2014","unstructured":"Ian Goodfellow , Jean Pouget-Abadie , Mehdi Mirza , Bing Xu , David Warde-Farley , Sherjil Ozair , Aaron Courville , and Yoshua Bengio . 2014 . Generative Adversarial Nets . In Proceedings of the 27th International Conference on Neural Information Processing Systems. NeurIPS Foundation, 2672\u20132680 . Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative Adversarial Nets. In Proceedings of the 27th International Conference on Neural Information Processing Systems. NeurIPS Foundation, 2672\u20132680."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_8_1","unstructured":"William\u00a0L Hamilton Rex Ying and Jure Leskovec. 2017. Representation Learning on Graphs: Methods and Applications. ArXiv preprint arXiv:1709.05584(2017).  William\u00a0L Hamilton Rex Ying and Jure Leskovec. 2017. Representation Learning on Graphs: Methods and Applications. ArXiv preprint arXiv:1709.05584(2017)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_10_1","unstructured":"Diederik\u00a0P Kingma and Max Welling. 2013. Auto-encoding Variational Bayes. ArXiv preprint arXiv:1312.6114(2013).  Diederik\u00a0P Kingma and Max Welling. 2013. Auto-encoding Variational Bayes. ArXiv preprint arXiv:1312.6114(2013)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren Robert Bell and Chris Volinsky. 2009. Matrix Factorization Techniques for Recommender Systems. Computer8(2009) 30\u201337.  Yehuda Koren Robert Bell and Chris Volinsky. 2009. Matrix Factorization Techniques for Recommender Systems. Computer8(2009) 30\u201337.","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_1_14_1","first-page":"2579","article-title":"Visualizing Data Using t-SNE","author":"van\u00a0der Maaten Laurens","year":"2008","unstructured":"Laurens van\u00a0der Maaten and Geoffrey Hinton . 2008 . Visualizing Data Using t-SNE . Journal of Machine Learning Research 9 , Nov (2008), 2579 \u2013 2605 . Laurens van\u00a0der Maaten and Geoffrey Hinton. 2008. Visualizing Data Using t-SNE. Journal of Machine Learning Research 9, Nov (2008), 2579\u20132605.","journal-title":"Journal of Machine Learning Research 9"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 26th International Conference on Neural Information Processing Systems. NeurIPS Foundation, 3111\u20133119","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov , Ilya Sutskever , Kai Chen , Greg\u00a0 S Corrado , and Jeff Dean . 2013 . Distributed Representations of Words and Phrases and Their Compositionality . In Proceedings of the 26th International Conference on Neural Information Processing Systems. NeurIPS Foundation, 3111\u20133119 . Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg\u00a0S Corrado, and Jeff Dean. 2013. Distributed Representations of Words and Phrases and Their Compositionality. In Proceedings of the 26th International Conference on Neural Information Processing Systems. NeurIPS Foundation, 3111\u20133119."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 20th International Conference on Neural Information Processing Systems. NeurIPS Foundation, 1257\u20131264","author":"Mnih Andriy","year":"2008","unstructured":"Andriy Mnih and Ruslan\u00a0 R Salakhutdinov . 2008 . Probabilistic Matrix Factorization . In Proceedings of the 20th International Conference on Neural Information Processing Systems. NeurIPS Foundation, 1257\u20131264 . Andriy Mnih and Ruslan\u00a0R Salakhutdinov. 2008. Probabilistic Matrix Factorization. In Proceedings of the 20th International Conference on Neural Information Processing Systems. NeurIPS Foundation, 1257\u20131264."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-011-0155-z"},{"volume-title":"Modeling and Analysis of Compositional Data (1 ed.)","author":"Pawlowsky-Glahn Vera","key":"e_1_3_2_1_18_1","unstructured":"Vera Pawlowsky-Glahn , Juan\u00a0Jos\u00e9 Egozcue , and Raimon Tolosana\u00a0Delgado . 2015. Modeling and Analysis of Compositional Data (1 ed.) . Wiley . Vera Pawlowsky-Glahn, Juan\u00a0Jos\u00e9 Egozcue, and Raimon Tolosana\u00a0Delgado. 2015. Modeling and Analysis of Compositional Data (1 ed.). Wiley."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742726"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098098"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.882073"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835837"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767711"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3285029"},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the Web Conference","author":"Zhu Ziwei","year":"2019","unstructured":"Ziwei Zhu , Jianling Wang , and James Caverlee . 2019 . Improving Top-K Recommendation via Joint Collaborative Autoencoders . In Proceedings of the Web Conference 2019. IW3C2, 3483\u20133489. Ziwei Zhu, Jianling Wang, and James Caverlee. 2019. Improving Top-K Recommendation via Joint Collaborative Autoencoders. In Proceedings of the Web Conference 2019. IW3C2, 3483\u20133489."}],"event":{"name":"WWW '20: The Web Conference 2020","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Taipei Taiwan","acronym":"WWW '20"},"container-title":["Proceedings of The Web Conference 2020"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3366423.3380233","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3366423.3380233","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:33:01Z","timestamp":1750199581000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3366423.3380233"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,20]]},"references-count":30,"alternative-id":["10.1145\/3366423.3380233","10.1145\/3366423"],"URL":"https:\/\/doi.org\/10.1145\/3366423.3380233","relation":{},"subject":[],"published":{"date-parts":[[2020,4,20]]},"assertion":[{"value":"2020-04-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}