{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T02:49:43Z","timestamp":1783738183775,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"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":[[2021,4,19]]},"DOI":"10.1145\/3442381.3450129","type":"proceedings-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T19:24:51Z","timestamp":1622748291000},"page":"2890-2899","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":28,"title":["Learning a Product Relevance Model from Click-Through Data in E-Commerce"],"prefix":"10.1145","author":[{"given":"Shaowei","family":"Yao","sequence":"first","affiliation":[{"name":"Peking University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiwei","family":"Tan","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xi","family":"Chen","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keping","family":"Yang","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Xiao","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongbo","family":"Deng","sequence":"additional","affiliation":[{"name":"Alibaba Group, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojun","family":"Wan","sequence":"additional","affiliation":[{"name":"Peking University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371780"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159659"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143874"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080832"},{"key":"e_1_3_2_1_5_1","first-page":"19","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","volume":"1","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Volume 1 (Long and Short Papers). Association for Computational Linguistics, Minneapolis, Minnesota, 4171\u20134186. https:\/\/doi.org\/10. 18653\/v1\/N 19 - 1423 Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, Minneapolis, Minnesota, 4171\u20134186. https:\/\/doi.org\/10.18653\/v1\/N19-1423"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983769"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the 27th International Conference on Neural Information Processing Systems -","volume":"2","author":"Hu Baotian","year":"2014","unstructured":"Baotian Hu , Zhengdong Lu , Hang Li , and Qingcai Chen . 2014 . Convolutional Neural Network Architectures for Matching Natural Language Sentences . In Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2 (Montreal, Canada) (NIPS\u201914). MIT Press, Cambridge, MA, USA , 2042\u20132050. Baotian Hu, Zhengdong Lu, Hang Li, and Qingcai Chen. 2014. Convolutional Neural Network Architectures for Matching Natural Language Sentences. In Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2 (Montreal, Canada) (NIPS\u201914). MIT Press, Cambridge, MA, USA, 2042\u20132050."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326937.3341259"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018699"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Bhaskar Mitra and Nick Craswell. 2017. Neural models for information retrieval. arXiv preprint arXiv:1705.01509(2017).  Bhaskar Mitra and Nick Craswell. 2017. Neural models for information retrieval. arXiv preprint arXiv:1705.01509(2017).","DOI":"10.1145\/3018661.3022755"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330759"},{"key":"e_1_3_2_1_13_1","unstructured":"Rodrigo Nogueira and Kyunghyun Cho. 2019. Passage Re-ranking with BERT. arXiv preprint arXiv:1901.04085(2019).  Rodrigo Nogueira and Kyunghyun Cho. 2019. Passage Re-ranking with BERT. arXiv preprint arXiv:1901.04085(2019)."},{"key":"e_1_3_2_1_14_1","unstructured":"Rodrigo Nogueira Wei Yang Kyunghyun Cho and Jimmy Lin. 2019. Multi-Stage Document Ranking with BERT. arXiv preprint arXiv:1910.14424(2019).  Rodrigo Nogueira Wei Yang Kyunghyun Cho and Jimmy Lin. 2019. Multi-Stage Document Ranking with BERT. arXiv preprint arXiv:1910.14424(2019)."},{"key":"e_1_3_2_1_15_1","unstructured":"Hamid Palangi Li Deng Yelong Shen Jianfeng Gao Xiaodong He Jianshu Chen Xinying Song and R Ward. 2014. Semantic modelling with long-short-term memory for information retrieval. arXiv preprint arXiv:1412.6629(2014).  Hamid Palangi Li Deng Yelong Shen Jianfeng Gao Xiaodong He Jianshu Chen Xinying Song and R Ward. 2014. Semantic modelling with long-short-term memory for information retrieval. arXiv preprint arXiv:1412.6629(2014)."},{"key":"e_1_3_2_1_16_1","first-page":"4","article-title":"Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval","volume":"24","author":"Palangi Hamid","year":"2016","unstructured":"Hamid Palangi , Li Deng , Yelong Shen , Jianfeng Gao , Xiaodong He , Jianshu Chen , Xinying Song , and Rabab Ward . 2016 . Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval . IEEE\/ACM Trans. Audio, Speech and Lang. Proc. 24 , 4 (April 2016), 694\u2013707. https:\/\/doi.org\/10.1109\/TASLP.2016.2520371 Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, and Rabab Ward. 2016. Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE\/ACM Trans. Audio, Speech and Lang. Proc. 24, 4 (April 2016), 694\u2013707. https:\/\/doi.org\/10.1109\/TASLP.2016.2520371","journal-title":"IEEE\/ACM Trans. Audio, Speech and Lang. Proc."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/3016100.3016292"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132914"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1244"},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","author":"Reimers Nils","year":"1865","unstructured":"Nils Reimers and Iryna Gurevych . 2019. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks . In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics , Hong Kong , China, 3982\u20133992. https:\/\/doi.org\/10. 1865 3\/v1\/D19-1410 Nils Reimers and Iryna Gurevych. 2019. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, Hong Kong, China, 3982\u20133992. https:\/\/doi.org\/10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_1_21_1","volume-title":"Overview of the Third Text REtrieval Conference (TREC-3). Gaithersburg, MD: NIST, 109\u2013126","author":"Robertson Stephen","unstructured":"Stephen Robertson , S. Walker , S. Jones , M.\u00a0 M. Hancock-Beaulieu , and M. Gatford . 1995. Okapi at TREC-3 . In Overview of the Third Text REtrieval Conference (TREC-3). Gaithersburg, MD: NIST, 109\u2013126 . Stephen Robertson, S. Walker, S. Jones, M.\u00a0M. Hancock-Beaulieu, and M. Gatford. 1995. Okapi at TREC-3. In Overview of the Third Text REtrieval Conference (TREC-3). Gaithersburg, MD: NIST, 109\u2013126."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661935"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence","author":"Wan Shengxian","year":"2016","unstructured":"Shengxian Wan , Yanyan Lan , Jun Xu , Jiafeng Guo , Liang Pang , and Xueqi Cheng . 2016 . Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN . In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence ( New York, New York, USA) (IJCAI\u201916). AAAI Press, 2922\u20132928. Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, and Xueqi Cheng. 2016. Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (New York, New York, USA) (IJCAI\u201916). AAAI Press, 2922\u20132928."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291039"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080809"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291380"},{"key":"e_1_3_2_1_27_1","unstructured":"Hongchun Zhang Tianyi Wang Xiaonan Meng and Yi Hu. 2019. Improving Semantic Matching via Multi-Task Learning in E-Commerce. In eCOM@SIGIR.  Hongchun Zhang Tianyi Wang Xiaonan Meng and Yi Hu. 2019. Improving Semantic Matching via Multi-Task Learning in E-Commerce. In eCOM@SIGIR."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"}],"event":{"name":"WWW '21: The Web Conference 2021","location":"Ljubljana Slovenia","acronym":"WWW '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the Web Conference 2021"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3450129","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442381.3450129","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:28Z","timestamp":1750195468000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3450129"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":28,"alternative-id":["10.1145\/3442381.3450129","10.1145\/3442381"],"URL":"https:\/\/doi.org\/10.1145\/3442381.3450129","relation":{},"subject":[],"published":{"date-parts":[[2021,4,19]]},"assertion":[{"value":"2021-06-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}