{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T02:49:45Z","timestamp":1783738185245,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/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":[[2021,7,11]]},"DOI":"10.1145\/3404835.3462926","type":"proceedings-article","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T02:41:54Z","timestamp":1626057714000},"page":"223-232","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":33,"title":["AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search"],"prefix":"10.1145","author":[{"given":"Chaozhuo","family":"Li","sequence":"first","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bochen","family":"Pang","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuming","family":"Liu","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Sun","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Liu","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xing","family":"Xie","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianqi","family":"Yang","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanling","family":"Cui","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangjie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,7,11]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219897"},{"key":"e_1_3_2_2_2_1","first-page":"993","article-title":"Latent Dirichlet Allocation","volume":"3","author":"Blei David M","year":"2012","unstructured":"David M Blei, Andrew Y Ng, Michael I Jordan, and John Lafferty. 2012. Latent Dirichlet Allocation. Journal of Machine Learning Research, Vol. 3 (2012), 993--1022.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_3_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_4_1","volume-title":"Efanna: An extremely fast approximate nearest neighbor search algorithm based on knn graph. arXiv preprint arXiv:1609.07228","author":"Fu Cong","year":"2016","unstructured":"Cong Fu and Deng Cai. 2016. Efanna: An extremely fast approximate nearest neighbor search algorithm based on knn graph. arXiv preprint arXiv:1609.07228 (2016)."},{"key":"e_1_3_2_2_5_1","unstructured":"Jianfeng Gao Xiaodong He and Li Deng. 2015. Deep learning for web search and natural language processing. (2015)."},{"key":"e_1_3_2_2_6_1","volume-title":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) .","author":"Gao Jianfeng","year":"2017","unstructured":"Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He, and Li Deng. 2017. Modeling Interestingness with Deep Neural Networks. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) ."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2010007"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219885"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983769"},{"key":"e_1_3_2_2_10_1","unstructured":"Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In Advances in neural information processing systems. 1024--1034."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_12_1","volume-title":"Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531","author":"Hinton Geoffrey","year":"2015","unstructured":"Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)."},{"key":"e_1_3_2_2_13_1","volume-title":"Approximation capabilities of multilayer feedforward networks. Neural networks","author":"Hornik Kurt","year":"1991","unstructured":"Kurt Hornik. 1991. Approximation capabilities of multilayer feedforward networks. Neural networks, Vol. 4, 2 (1991), 251--257."},{"key":"e_1_3_2_2_14_1","unstructured":"Baotian Hu Zhengdong Lu Hang Li and Qingcai Chen. 2015. Convolutional Neural Network Architectures for Matching Natural Language Sentences. (2015)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403305"},{"key":"e_1_3_2_2_16_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301996"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55753-3_11"},{"key":"e_1_3_2_2_19_1","volume-title":"Detecting context dependent messages in a conversational environment. arXiv preprint arXiv:1611.00483","author":"Li Chaozhuo","year":"2016","unstructured":"Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, and Ming Zhou. 2016. Detecting context dependent messages in a conversational environment. arXiv preprint arXiv:1611.00483 (2016)."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313466"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00085"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054192"},{"key":"e_1_3_2_2_23_1","volume-title":"TwinBERT: Distilling knowledge to twin-structured BERT models for efficient retrieval. arXiv preprint arXiv:2002.06275","author":"Lu Wenhao","year":"2020","unstructured":"Wenhao Lu, Jian Jiao, and Ruofei Zhang. 2020. TwinBERT: Distilling knowledge to twin-structured BERT models for efficient retrieval. arXiv preprint arXiv:2002.06275 (2020)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052579"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2008.11.006"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661935"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"crossref","unstructured":"Yelong Shen Xiaodong He Jianfeng Gao Li Deng and Gr\u00e9goire Mesnil. 2014b. A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval. (2014) 101--110.","DOI":"10.1145\/2661829.2661935"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2567948.2577348"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2567948.2577348"},{"key":"e_1_3_2_2_30_1","volume-title":"Computer Science","volume":"5","author":"Tai Kai Sheng","year":"2015","unstructured":"Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. Computer Science, Vol. 5, 1 (2015),: 36."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/1507404.1507419"},{"key":"e_1_3_2_2_32_1","volume-title":"Attention is all you need. arXiv preprint arXiv:1706.03762","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. arXiv preprint arXiv:1706.03762 (2017)."},{"key":"e_1_3_2_2_33_1","volume-title":"Graph attention networks. arXiv preprint arXiv:1710.10903","author":"Petar Velivc","year":"2017","unstructured":"Petar Velivc kovi\u0107, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)."},{"key":"e_1_3_2_2_34_1","unstructured":"Shengxian Wan Yanyan Lan Jiafeng Guo Jun Xu Liang Pang and Xueqi Cheng. 2015. A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. (2015)."},{"key":"e_1_3_2_2_35_1","unstructured":"Yonghui Wu Mike Schuster Zhifeng Chen Quoc V Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey et al. 2016. Google's neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144 (2016)."},{"key":"e_1_3_2_2_36_1","unstructured":"Liu Yang Qingyao Ai Jiafeng Guo and W. Bruce Croft. 2018. aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. (2018)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357833"},{"key":"e_1_3_2_2_38_1","volume-title":"ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Computer Science","author":"Yin Wenpeng","year":"2015","unstructured":"Wenpeng Yin, Hinrich Sch\u00fctze, Bing Xiang, and Bowen Zhou. 2015. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Computer Science (2015)."},{"key":"e_1_3_2_2_39_1","volume-title":"TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. arXiv preprint arXiv:2101.06323","author":"Zhu Jason","year":"2021","unstructured":"Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Liangjie Zhang, Tianqi Yan, Ruofei Zhang, and Huasha Zhao. 2021. TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. arXiv preprint arXiv:2101.06323 (2021)."}],"event":{"name":"SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Virtual Event Canada","acronym":"SIGIR '21","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/3404835.3462926","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/dl.acm.org\/doi\/pdf\/10.1145\/3404835.3462926","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:20Z","timestamp":1750191500000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/3404835.3462926"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":39,"alternative-id":["10.1145\/3404835.3462926","10.1145\/3404835"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1145\/3404835.3462926","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]},"assertion":[{"value":"2021-07-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}