{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T13:29:07Z","timestamp":1783690147767,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":37,"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\/3292500.3330786","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"1771-1779","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["A Deep Generative Approach to Search Extrapolation and Recommendation"],"prefix":"10.1145","author":[{"given":"Fred X.","family":"Han","sequence":"first","affiliation":[{"name":"University of Alberta, Edmonton, AB, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Di","family":"Niu","sequence":"additional","affiliation":[{"name":"University of Alberta, Edmonton, AB, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haolan","family":"Chen","sequence":"additional","affiliation":[{"name":"Tencent, ShenZhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunfeng","family":"Lai","sequence":"additional","affiliation":[{"name":"Tencent, ShenZhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yancheng","family":"He","sequence":"additional","affiliation":[{"name":"Tencent, ShenZhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Xu","sequence":"additional","affiliation":[{"name":"Tencent, ShenZhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Hector Garcia Molina, and Chi Chao Chang","author":"Antonellis Ioannis","year":"2008"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.14778\/1453856.1453903"},{"key":"e_1_3_2_1_3_1","volume-title":"Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473","author":"Bahdanau Dzmitry","year":"2014"},{"key":"e_1_3_2_1_4_1","volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","author":"Chung Junyoung","year":"2014"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/511446.511489"},{"key":"e_1_3_2_1_6_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1099554.1099726"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/2390948.2391022"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2530275"},{"key":"e_1_3_2_1_10_1","volume-title":"Incorporating copying mechanism in sequence-to-sequence learning. arXiv preprint arXiv:1603.06393","author":"Gu Jiatao","year":"2016"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313746"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983835"},{"key":"e_1_3_2_1_13_1","volume-title":"On using very large target vocabulary for neural machine translation. arXiv preprint arXiv:1412.2007","author":"Jean S\u00e9bastien","year":"2014"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775126"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1135777.1135835"},{"key":"e_1_3_2_1_16_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014"},{"key":"e_1_3_2_1_17_1","volume-title":"Vocabulary selection strategies for neural machine translation. arXiv preprint arXiv:1610.00072","author":"L'Hostis Gurvan","year":"2016"},{"key":"e_1_3_2_1_18_1","volume-title":"Rouge: A package for automatic evaluation of summaries. Text Summarization Branches Out","author":"Lin Chin-Yew","year":"2004"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313737"},{"key":"e_1_3_2_1_20_1","volume-title":"Toward abstractive summarization using semantic representations. arXiv preprint arXiv:1805.10399","author":"Liu Fei","year":"2018"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271727"},{"key":"e_1_3_2_1_22_1","volume-title":"Effective approaches to attention-based neural machine translation. arXiv preprint arXiv:1508.04025","author":"Luong Minh-Thang","year":"2015"},{"key":"e_1_3_2_1_23_1","volume-title":"Vocabulary manipulation for neural machine translation. arXiv preprint arXiv:1605.03209","author":"Mi Haitao","year":"2016"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"e_1_3_2_1_25_1","unstructured":"Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in PyTorch. In NIPS-W.  Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in PyTorch. In NIPS-W."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00010"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.5555\/1599081.1599174"},{"key":"e_1_3_2_1_29_1","volume-title":"Neural responding machine for short-text conversation. arXiv preprint arXiv:1503.02364","author":"Shang Lifeng","year":"2015"},{"key":"e_1_3_2_1_30_1","volume-title":"In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","volume":"2","author":"Song Yan","year":"2018"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_1_32_1","unstructured":"Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to sequence learning with neural networks. In Advances in neural information processing systems. 3104--3112.   Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to sequence learning with neural networks. In Advances in neural information processing systems. 3104--3112."},{"key":"e_1_3_2_1_33_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems. 5998--6008.   Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems. 5998--6008."},{"key":"e_1_3_2_1_34_1","volume-title":"A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data. arXiv preprint arXiv:1801.01725","author":"Wang Jingang","year":"2018"},{"key":"e_1_3_2_1_35_1","volume-title":"Thirty-Second AAAI Conference on Artificial Intelligence.","author":"Wu Yu","year":"2018"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130348.3130364"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098148"},{"key":"e_1_3_2_1_38_1","volume-title":"Neural Question Generation from Text: A Preliminary Study. arXiv preprint arXiv:1704.01792","author":"Zhou Qingyu","year":"2017"}],"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\/3292500.3330786","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330786","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:57:51Z","timestamp":1750208271000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330786"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":37,"alternative-id":["10.1145\/3292500.3330786","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330786","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"}}]}}