{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:10:08Z","timestamp":1750205408740,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"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":[[2019,5,13]]},"DOI":"10.1145\/3308558.3313496","type":"proceedings-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T12:17:59Z","timestamp":1557749879000},"page":"1006-1016","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Persona-Aware Tips Generation?"],"prefix":"10.1145","author":[{"given":"Piji","family":"Li","sequence":"first","affiliation":[{"name":"Tencent AI Lab, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihao","family":"Wang","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lidong","family":"Bing","sequence":"additional","affiliation":[{"name":"Alibaba, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wai","family":"Lam","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In ICLR.  Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In ICLR."},{"key":"e_1_3_2_1_2_1","first-page":"993","article-title":"Latent dirichlet allocation","author":"Blei David M","year":"2003","unstructured":"David M Blei , Andrew Y Ng , and Michael I Jordan . 2003 . Latent dirichlet allocation . JMLR 3 , Jan (2003), 993 - 1022 . David M Blei, Andrew Y Ng, and Michael I Jordan. 2003. Latent dirichlet allocation. JMLR 3, Jan (2003), 993-1022.","journal-title":"JMLR 3"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Deng Cai Yan Wang Victoria Bi Zhaopeng Tu Xiaojiang Liu Wai Lam and Shuming Shi. 2018. Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. arXiv preprint arXiv:1809.05296(2018).  Deng Cai Yan Wang Victoria Bi Zhaopeng Tu Xiaojiang Liu Wai Lam and Shuming Shi. 2018. Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. arXiv preprint arXiv:1809.05296(2018).","DOI":"10.18653\/v1\/N19-1124"},{"key":"e_1_3_2_1_4_1","unstructured":"Dallas Card Chenhao Tan and Noah A Smith. 2017. A Neural Framework for Generalized Topic Models. arXiv preprint arXiv:1705.09296(2017).  Dallas Card Chenhao Tan and Noah A Smith. 2017. A Neural Framework for Generalized Topic Models. arXiv preprint arXiv:1705.09296(2017)."},{"key":"e_1_3_2_1_5_1","volume-title":"Dzmitry Bahdanau, Fethi Bougares Holger Schwenk, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho , Bart van Merri\u00ebnboer Caglar Gulcehre , Dzmitry Bahdanau, Fethi Bougares Holger Schwenk, and Yoshua Bengio. 2014 . Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. EMNLP ( 2014), 1724-1734. Kyunghyun Cho, Bart van Merri\u00ebnboer Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares Holger Schwenk, and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. EMNLP (2014), 1724-1734."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1059"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/1622487.1622501"},{"key":"e_1_3_2_1_8_1","first-page":"2672","article-title":"Generative adversarial nets","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 NIPS. 2672 - 2680 . Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. In NIPS. 2672-2680.","journal-title":"NIPS."},{"key":"e_1_3_2_1_9_1","first-page":"6716","article-title":"Z-Forcing","author":"Alias Parth Goyal Anirudh Goyal","year":"2017","unstructured":"Anirudh Goyal Alias Parth Goyal , Alessandro Sordoni , Marc-Alexandre C&ocir;te\u00b4, Nan Ke , and Yoshua Bengio . 2017 . Z-Forcing : Training Stochastic Recurrent Networks. In NIPS. 6716 - 6726 . Anirudh Goyal Alias Parth Goyal, Alessandro Sordoni, Marc-Alexandre C&ocir;te\u00b4, Nan Ke, and Yoshua Bengio. 2017. Z-Forcing: Training Stochastic Recurrent Networks. In NIPS. 6716-6726.","journal-title":"Training Stochastic Recurrent Networks. In NIPS."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_11_1","first-page":"1587","article-title":"Toward controlled generation of text","author":"Hu Zhiting","year":"2017","unstructured":"Zhiting Hu , Zichao Yang , Xiaodan Liang , Ruslan Salakhutdinov , and Eric P Xing . 2017 . Toward controlled generation of text . In ICML. 1587 - 1596 . Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P Xing. 2017. Toward controlled generation of text. In ICML. 1587-1596.","journal-title":"ICML."},{"key":"e_1_3_2_1_12_1","unstructured":"Diederik P Kingma and Max Welling. 2014. Auto-encoding variational bayes. In ICLR.  Diederik P Kingma and Max Welling. 2014. Auto-encoding variational bayes. In ICLR."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30194-3_13"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_15_1","first-page":"1558","article-title":"Autoencoding beyond pixels using a learned similarity metric","author":"Lindbo Larsen Anders Boesen","year":"2016","unstructured":"Anders Boesen Lindbo Larsen , S\u00f8ren Kaae S\u00f8nderby , Hugo Larochelle , and Ole Winther . 2016 . Autoencoding beyond pixels using a learned similarity metric . In ICML. 1558 - 1566 . Anders Boesen Lindbo Larsen, S\u00f8ren Kaae S\u00f8nderby, Hugo Larochelle, and Ole Winther. 2016. Autoencoding beyond pixels using a learned similarity metric. In ICML. 1558-1566.","journal-title":"ICML."},{"key":"e_1_3_2_1_16_1","first-page":"556","article-title":"Algorithms for non-negative matrix factorization","author":"Lee Daniel D","year":"2001","unstructured":"Daniel D Lee and H Sebastian Seung . 2001 . Algorithms for non-negative matrix factorization . In NIPS. 556 - 562 . Daniel D Lee and H Sebastian Seung. 2001. Algorithms for non-negative matrix factorization. In NIPS. 556-562.","journal-title":"NIPS."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1094"},{"key":"e_1_3_2_1_18_1","unstructured":"Piji Li Lidong Bing and Wai Lam. 2018. Actor-critic based training framework for abstractive summarization. arXiv preprint arXiv:1803.11070(2018).  Piji Li Lidong Bing and Wai Lam. 2018. Actor-critic based training framework for abstractive summarization. arXiv preprint arXiv:1803.11070(2018)."},{"key":"e_1_3_2_1_19_1","first-page":"2091","article-title":"Deep Recurrent Generative Decoder for Abstractive Text Summarization","author":"Li Piji","year":"2017","unstructured":"Piji Li , Wai Lam , Lidong Bing , and Zihao Wang . 2017 . Deep Recurrent Generative Decoder for Abstractive Text Summarization . In EMNLP. 2091 - 2100 . Piji Li, Wai Lam, Lidong Bing, and Zihao Wang. 2017. Deep Recurrent Generative Decoder for Abstractive Text Summarization. In EMNLP. 2091-2100.","journal-title":"EMNLP."},{"key":"e_1_3_2_1_20_1","first-page":"3497","article-title":"Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization","author":"Li Piji","year":"2017","unstructured":"Piji Li , Zihao Wang , Wai Lam , Zhaochun Ren , and Lidong Bing . 2017 . Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization . In AAAI. 3497 - 3503 . Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, and Lidong Bing. 2017. Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. In AAAI. 3497-3503.","journal-title":"AAAI."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080822"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098077"},{"key":"e_1_3_2_1_23_1","first-page":"3855","article-title":"QuaSE: Sequence Editing under Quantifiable Guidance","author":"Liao Yi","year":"2018","unstructured":"Yi Liao , Lidong Bing , Piji Li , Shuming Shi , Wai Lam , and Tong Zhang . 2018 . QuaSE: Sequence Editing under Quantifiable Guidance . In EMNLP. 3855 - 3864 . Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, and Tong Zhang. 2018. QuaSE: Sequence Editing under Quantifiable Guidance. In EMNLP. 3855-3864.","journal-title":"EMNLP."},{"key":"e_1_3_2_1_24_1","volume-title":"ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out-ACL Workshop. 74-81","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin . 2004 . ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out-ACL Workshop. 74-81 . Chin-Yew Lin. 2004. ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out-ACL Workshop. 74-81."},{"key":"e_1_3_2_1_25_1","first-page":"627","article-title":"Modeling user rating profiles for collaborative filtering","author":"Marlin Benjamin M","year":"2003","unstructured":"Benjamin M Marlin . 2003 . Modeling user rating profiles for collaborative filtering . In NIPS. 627 - 634 . Benjamin M Marlin. 2003. Modeling user rating profiles for collaborative filtering. In NIPS. 627-634.","journal-title":"NIPS."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507163"},{"key":"e_1_3_2_1_27_1","first-page":"2391","article-title":"Adversarial Variational Bayes","author":"Mescheder Lars","year":"2017","unstructured":"Lars Mescheder , Sebastian Nowozin , and Andreas Geiger . 2017 . Adversarial Variational Bayes : Unifying Variational Autoencoders and Generative Adversarial Networks. In ICML. 2391 - 2400 . Lars Mescheder, Sebastian Nowozin, and Andreas Geiger. 2017. Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks. In ICML. 2391-2400.","journal-title":"Unifying Variational Autoencoders and Generative Adversarial Networks. In ICML."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1028"},{"key":"e_1_3_2_1_29_1","first-page":"783","volume-title":"IJCNLP","volume":"1","author":"Ni Jianmo","year":"2017","unstructured":"Jianmo Ni , Zachary C Lipton , Sharad Vikram , and Julian McAuley . 2017 . Estimating Reactions and Recommending Products with Generative Models of Reviews . In IJCNLP , Vol. 1 . 783 - 791 . Jianmo Ni, Zachary C Lipton, Sharad Vikram, and Julian McAuley. 2017. Estimating Reactions and Recommending Products with Generative Models of Reviews. In IJCNLP, Vol. 1. 783-791."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018686"},{"key":"e_1_3_2_1_31_1","first-page":"379","article-title":"A Neural Attention Model for Abstractive Sentence Summarization","author":"Rush Alexander M","year":"2015","unstructured":"Alexander M Rush , Sumit Chopra , and Jason Weston . 2015 . A Neural Attention Model for Abstractive Sentence Summarization . In EMNLP. 379 - 389 . Alexander M Rush, Sumit Chopra, and Jason Weston. 2015. A Neural Attention Model for Abstractive Sentence Summarization. In EMNLP. 379-389.","journal-title":"EMNLP."},{"key":"e_1_3_2_1_32_1","first-page":"1","article-title":"Probabilistic Matrix Factorization","author":"Salakhutdinov Ruslan","year":"2007","unstructured":"Ruslan Salakhutdinov and Andriy Mnih . 2007 . Probabilistic Matrix Factorization .. In NIPS. 1 - 8 . Ruslan Salakhutdinov and Andriy Mnih. 2007. Probabilistic Matrix Factorization.. In NIPS. 1-8.","journal-title":"NIPS."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1152"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864764"},{"key":"e_1_3_2_1_35_1","unstructured":"Jian Tang Yifan Yang Sam Carton Ming Zhang and Qiaozhu Mei. 2016. Context-aware Natural Language Generation with Recurrent Neural Networks. arXiv preprint arXiv:1611.09900(2016).  Jian Tang Yifan Yang Sam Carton Ming Zhang and Qiaozhu Mei. 2016. Context-aware Natural Language Generation with Recurrent Neural Networks. arXiv preprint arXiv:1611.09900(2016)."},{"key":"e_1_3_2_1_36_1","first-page":"2692","article-title":"Pointer networks","author":"Vinyals Oriol","year":"2015","unstructured":"Oriol Vinyals , Meire Fortunato , and Navdeep Jaitly . 2015 . Pointer networks . In NIPS. 2692 - 2700 . Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015. Pointer networks. In NIPS. 2692-2700.","journal-title":"NIPS."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020480"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"e_1_3_2_1_39_1","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"Xu Kelvin","year":"2015","unstructured":"Kelvin Xu , Jimmy Ba , Ryan Kiros , Kyunghyun Cho , Aaron Courville , Ruslan Salakhudinov , Rich Zemel , and Yoshua Bengio . 2015 . Show, attend and tell: Neural image caption generation with visual attention . In ICML. 2048 - 2057 . Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015. Show, attend and tell: Neural image caption generation with visual attention. In ICML. 2048-2057.","journal-title":"ICML."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133990"},{"key":"e_1_3_2_1_41_1","first-page":"2852","article-title":"SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient","author":"Yu Lantao","year":"2017","unstructured":"Lantao Yu , Weinan Zhang , Jun Wang , and Yong Yu . 2017 . SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient .. In AAAI. 2852 - 2858 . Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. 2017. SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.. In AAAI. 2852-2858.","journal-title":"AAAI."},{"key":"e_1_3_2_1_42_1","unstructured":"Matthew D Zeiler. 2012. ADADELTA: an adaptive learning rate method. arXiv preprint arXiv:1212.5701(2012).  Matthew D Zeiler. 2012. ADADELTA: an adaptive learning rate method. arXiv preprint arXiv:1212.5701(2012)."},{"key":"e_1_3_2_1_43_1","first-page":"654","article-title":"Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders","author":"Zhao Tiancheng","year":"2017","unstructured":"Tiancheng Zhao , Ran Zhao , and Maxine Eskenazi . 2017 . Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders . In ACL. 654 - 664 . Tiancheng Zhao, Ran Zhao, and Maxine Eskenazi. 2017. Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders. In ACL. 654-664.","journal-title":"ACL."}],"event":{"name":"WWW '19: The Web Conference","sponsor":["IW3C2 International World Wide Web Conference Committee"],"location":"San Francisco CA USA","acronym":"WWW '19"},"container-title":["The World Wide Web Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313496","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3308558.3313496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:19Z","timestamp":1750204399000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313496"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,13]]},"references-count":43,"alternative-id":["10.1145\/3308558.3313496","10.1145\/3308558"],"URL":"https:\/\/doi.org\/10.1145\/3308558.3313496","relation":{},"subject":[],"published":{"date-parts":[[2019,5,13]]},"assertion":[{"value":"2019-05-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}