{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:19:02Z","timestamp":1775283542168,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":40,"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\/3292500.3330889","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"1055-1063","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Log2Intent"],"prefix":"10.1145","author":[{"given":"Zhiqiang","family":"Tao","sequence":"first","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}]},{"given":"Sheng","family":"Li","sequence":"additional","affiliation":[{"name":"University of Georgia, Athens, GA, USA"}]},{"given":"Zhaowen","family":"Wang","sequence":"additional","affiliation":[{"name":"Adobe Research, San Jose, CA, USA"}]},{"given":"Chen","family":"Fang","sequence":"additional","affiliation":[{"name":"ByteDance AI Lab, San Jose, CA, USA"}]},{"given":"Longqi","family":"Yang","sequence":"additional","affiliation":[{"name":"Cornell University, New York, NY, USA"}]},{"given":"Handong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Adobe Research, San Jose, CA, USA"}]},{"given":"Yun","family":"Fu","sequence":"additional","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2642918.2647395"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788614"},{"key":"e_1_3_2_1_3_1","volume-title":"Hinton","author":"Ba Lei Jimmy","year":"2016","unstructured":"Lei Jimmy Ba , Ryan Kiros , and Geoffrey E . Hinton . 2016 . Layer Normalization. CoRR , Vol. abs\/ 1607 .06450 (2016). Lei Jimmy Ba, Ryan Kiros, and Geoffrey E. Hinton. 2016. Layer Normalization. CoRR , Vol. abs\/1607.06450 (2016)."},{"key":"e_1_3_2_1_4_1","volume-title":"Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473","author":"Bahdanau Dzmitry","year":"2014","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)."},{"key":"e_1_3_2_1_5_1","volume-title":"The Netflix Prize. In In KDD Cup and Workshop in conjunction with KDD .","author":"Bennett James","year":"2007","unstructured":"James Bennett , Stan Lanning , and Netflix Netflix . 2007 . The Netflix Prize. In In KDD Cup and Workshop in conjunction with KDD . James Bennett, Stan Lanning, and Netflix Netflix. 2007. The Netflix Prize. In In KDD Cup and Workshop in conjunction with KDD ."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159668"},{"key":"e_1_3_2_1_7_1","volume-title":"Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho , Bart van Merri\u00eb nboer, c Ca?lar G\u00fc lc cehre , Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 . Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation. In EMNLP. 1724--1734. Kyunghyun Cho, Bart van Merri\u00eb nboer, c Ca?lar G\u00fc lc cehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation. In EMNLP. 1724--1734."},{"key":"e_1_3_2_1_8_1","volume-title":"NeurIPS 2014 Workshop on Deep Learning","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , Caglar Gulcehre , Kyunghyun Cho , and Yoshua Bengio . 2014 . Empirical evaluation of gated recurrent neural networks on sequence modeling . In NeurIPS 2014 Workshop on Deep Learning , December 2014 . Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. In NeurIPS 2014 Workshop on Deep Learning, December 2014 ."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209991"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2047196.2047220"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220120"},{"key":"e_1_3_2_1_12_1","volume-title":"Abdel rahman Mohamed, and Geoffrey E. Hinton","author":"Graves Alex","year":"2013","unstructured":"Alex Graves , Abdel rahman Mohamed, and Geoffrey E. Hinton . 2013 . Speech Recognition with Deep Recurrent Neural Networks. CoRR , Vol. abs\/ 1303 .5778 (2013). Alex Graves, Abdel rahman Mohamed, and Geoffrey E. Hinton. 2013. Speech Recognition with Deep Recurrent Neural Networks. CoRR , Vol. abs\/1303.5778 (2013)."},{"key":"e_1_3_2_1_13_1","volume-title":"Mustafa Suleyman, and Phil Blunsom.","author":"Grefenstette Edward","year":"2015","unstructured":"Edward Grefenstette , Karl Moritz Hermann , Mustafa Suleyman, and Phil Blunsom. 2015 . Learning to Transduce with Unbounded Memory. In NeurIPS. 1828--1836. Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, and Phil Blunsom. 2015. Learning to Transduce with Unbounded Memory. In NeurIPS. 1828--1836."},{"key":"e_1_3_2_1_14_1","volume-title":"Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939","author":"Hidasi Bal\u00e1zs","year":"2015","unstructured":"Bal\u00e1zs Hidasi , Alexandros Karatzoglou , Linas Baltrunas , and Domonkos Tikk . 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 ( 2015 ). Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507174"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"e_1_3_2_1_18_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba . 2014 . Adam : A Method for Stochastic Optimization. CoRR , Vol. abs\/ 1412 .6980 (2014). Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRR , Vol. abs\/1412.6980 (2014)."},{"key":"e_1_3_2_1_19_1","unstructured":"Ryan Kiros Yukun Zhu Ruslan R Salakhutdinov Richard Zemel Raquel Urtasun Antonio Torralba and Sanja Fidler. 2015. Skip-Thought Vectors. In NeurIPS. 3294--3302.   Ryan Kiros Yukun Zhu Ruslan R Salakhutdinov Richard Zemel Raquel Urtasun Antonio Torralba and Sanja Fidler. 2015. Skip-Thought Vectors. In NeurIPS. 3294--3302."},{"key":"e_1_3_2_1_20_1","volume-title":"Le and Tomas Mikolov","author":"Quoc","year":"2014","unstructured":"Quoc V. Le and Tomas Mikolov . 2014 . Distributed Representations of Sentences and Documents. In ICML . Quoc V. Le and Tomas Mikolov. 2014. Distributed Representations of Sentences and Documents. In ICML ."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1970378.1970380"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01589116"},{"key":"e_1_3_2_1_23_1","volume-title":"Manning","author":"Luong Thang","year":"2015","unstructured":"Thang Luong , Hieu Pham , and Christopher D . Manning . 2015 . Effective Approaches to Attention-based Neural Machine Translation. In EMNLP . 1412--1421. Thang Luong, Hieu Pham, and Christopher D. Manning. 2015. Effective Approaches to Attention-based Neural Machine Translation. In EMNLP . 1412--1421."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1622176.1622214"},{"key":"e_1_3_2_1_25_1","volume-title":"Efficient Estimation of Word Representations in Vector Space. CoRR","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov , Kai Chen , Greg Corrado , and Jeffrey Dean . 2013. Efficient Estimation of Word Representations in Vector Space. CoRR , Vol. abs\/ 1301 .3781 ( 2013 ). Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. CoRR , Vol. abs\/1301.3781 (2013)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Alexander H. Miller Adam Fisch Jesse Dodge Amir-Hossein Karimi Antoine Bordes and Jason Weston. 2016. Key-Value Memory Networks for Directly Reading Documents. In EMNLP . 1400--1409.  Alexander H. Miller Adam Fisch Jesse Dodge Amir-Hossein Karimi Antoine Bordes and Jason Weston. 2016. Key-Value Memory Networks for Directly Reading Documents. In EMNLP . 1400--1409.","DOI":"10.18653\/v1\/D16-1147"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219828"},{"key":"e_1_3_2_1_28_1","first-page":"1532","article-title":"Glove: Global Vectors for Word Representation","volume":"14","author":"Pennington Jeffrey","year":"2014","unstructured":"Jeffrey Pennington , Richard Socher , and Christopher D Manning . 2014 . Glove: Global Vectors for Word Representation . In EMNLP , Vol. 14. 1532 -- 1543 . Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global Vectors for Word Representation. In EMNLP, Vol. 14. 1532--1543.","journal-title":"EMNLP"},{"key":"e_1_3_2_1_29_1","volume-title":"Jason Weston, and Rob Fergus.","author":"Sukhbaatar Sainbayar","year":"2015","unstructured":"Sainbayar Sukhbaatar , arthur szlam , Jason Weston, and Rob Fergus. 2015 . End-To-End Memory Networks. In NeurIPS. 2440--2448. Sainbayar Sukhbaatar, arthur szlam, Jason Weston, and Rob Fergus. 2015. End-To-End Memory Networks. In NeurIPS. 2440--2448."},{"key":"e_1_3_2_1_30_1","volume-title":"Le","author":"Sutskever Ilya","year":"2014","unstructured":"Ilya Sutskever , Oriol Vinyals , and Quoc V . Le . 2014 . Sequence to Sequence Learning with Neural Networks. In NeurIPS . 3104--3112. Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014. Sequence to Sequence Learning with Neural Networks. In NeurIPS . 3104--3112."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Ke M. Tran Arianna Bisazza and Christof Monz. 2016. Recurrent Memory Networks for Language Modeling. In NAACL HLT. 321--331.  Ke M. Tran Arianna Bisazza and Christof Monz. 2016. Recurrent Memory Networks for Language Modeling. In NAACL HLT. 321--331.","DOI":"10.18653\/v1\/N16-1036"},{"key":"e_1_3_2_1_32_1","unstructured":"Aaron van den Oord Sander Dieleman and Benjamin Schrauwen. 2013. Deep content-based music recommendation. In NeurIPS. 2643--2651.   Aaron van den Oord Sander Dieleman and Benjamin Schrauwen. 2013. Deep content-based music recommendation. In NeurIPS. 2643--2651."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220004"},{"key":"e_1_3_2_1_34_1","volume-title":"Memory Networks. CoRR","author":"Weston Jason","year":"2014","unstructured":"Jason Weston , Sumit Chopra , and Antoine Bordes . 2014. Memory Networks. CoRR , Vol. abs\/ 1410 .3916 ( 2014 ). Jason Weston, Sumit Chopra, and Antoine Bordes. 2014. Memory Networks. CoRR , Vol. abs\/1410.3916 (2014)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018689"},{"key":"e_1_3_2_1_36_1","unstructured":"Caiming Xiong Stephen Merity and Richard Socher. 2016. Dynamic Memory Networks for Visual and Textual Question Answering. In ICML . 2397--2406.   Caiming Xiong Stephen Merity and Richard Socher. 2016. Dynamic Memory Networks for Visual and Textual Question Answering. In ICML . 2397--2406."},{"key":"e_1_3_2_1_37_1","volume-title":"Creative Procedural-Knowledge Extraction From Web Design Tutorials. CoRR","author":"Yang Longqi","year":"2019","unstructured":"Longqi Yang , Chen Fang , Hailin Jin , Walter Chang , and Deborah Estrin . 2019. Creative Procedural-Knowledge Extraction From Web Design Tutorials. CoRR , Vol. abs\/ 1904 .08587 ( 2019 ). Longqi Yang, Chen Fang, Hailin Jin, Walter Chang, and Deborah Estrin. 2019. Creative Procedural-Knowledge Extraction From Web Design Tutorials. CoRR , Vol. abs\/1904.08587 (2019)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054183"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2882995"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Chang Zhou Jinze Bai Junshuai Song Xiaofei Liu Zhengchao Zhao Xiusi Chen and Jun Gao. 2018. ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. In AAAI .  Chang Zhou Jinze Bai Junshuai Song Xiaofei Liu Zhengchao Zhao Xiusi Chen and Jun Gao. 2018. ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. In AAAI .","DOI":"10.1609\/aaai.v32i1.11618"}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA","acronym":"KDD '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"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\/3292500.3330889","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330889","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:03Z","timestamp":1750206363000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330889"}},"subtitle":["Towards Interpretable User Modeling via Recurrent Semantics Memory Unit"],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":40,"alternative-id":["10.1145\/3292500.3330889","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330889","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"}}]}}