{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T13:18:30Z","timestamp":1782825510019,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"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":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557129","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:29:57Z","timestamp":1665883797000},"page":"2883-2892","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Improving Text-based Similar Product Recommendation for Dynamic Product Advertising at Yahoo"],"prefix":"10.1145","author":[{"given":"Xiao","family":"Bai","sequence":"first","affiliation":[{"name":"Yahoo Research, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Duan","sequence":"additional","affiliation":[{"name":"Yahoo, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Tang","sequence":"additional","affiliation":[{"name":"Yahoo, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaurav","family":"Batra","sequence":"additional","affiliation":[{"name":"Yahoo, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ritesh","family":"Agrawal","sequence":"additional","affiliation":[{"name":"Yahoo, San Jose, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/375551.375608"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507221"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.111"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983840"},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the 37th International Conference on Machine Learning (ICML'20)","author":"Bao Hangbo","year":"2020","unstructured":"Hangbo Bao , Li Dong , Furu Wei , Wenhui Wang , Nan Yang , Xiaodong Liu , Yu Wang , Songhao Piao , Jianfeng Gao , Ming Zhou , and Hsiao-Wuen Hon . 2020 . UNILMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training . In Proceedings of the 37th International Conference on Machine Learning (ICML'20) . 642--652. Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon. 2020. UNILMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. In Proceedings of the 37th International Conference on Machine Learning (ICML'20). 642--652."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219891"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-industry.20"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1208"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1439"},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19)","author":"Chen Wang","unstructured":"Wang Chen , Yifan Gao , Jiani Zhang , Irwin King , and Michael R. Lyu . 2019. Title-Guided Encoding for Keyphrase Generation . In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19) . 6268--6275. Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, and Michael R. Lyu. 2019. Title-Guided Encoding for Keyphrase Generation. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19). 6268--6275."},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4171--4186","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. 4171--4186 . 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. 4171--4186."},{"key":"e_1_3_2_1_12_1","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Dong Li","year":"2019","unstructured":"Li Dong , Nan Yang , Wenhui Wang , Furu Wei , Xiaodong Liu , Yu Wang , Jianfeng Gao , Ming Zhou , and Hsiao-Wuen Hon . 2019 . Unified Language Model Pre-training for Natural Language Understanding and Generation . In Advances in Neural Information Processing Systems , Vol. 32 . Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon. 2019. Unified Language Model Pre-training for Natural Language Understanding and Generation. In Advances in Neural Information Processing Systems, Vol. 32."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401430"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1147234.1147241"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Anjan Goswami Chengxiang Zhai and Prasant Mohapatra. 2018. Learning to Rank and Discover for E-Commerce Search. In Machine Learning and Data Mining in Pattern Recognition. 331--346.  Anjan Goswami Chengxiang Zhai and Prasant Mohapatra. 2018. Learning to Rank and Discover for E-Commerce Search. In Machine Learning and Data Mining in Pattern Recognition. 331--346.","DOI":"10.1007\/978-3-319-96133-0_25"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403305"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_1_18_1","volume-title":"Bidirectional LSTM-CRF Models for Sequence Tagging. arxiv","author":"Huang Zhiheng","year":"1907","unstructured":"Zhiheng Huang , Wei Xu , and Kai Yu. 2015. Bidirectional LSTM-CRF Models for Sequence Tagging. arxiv : 1907 .11692 Zhiheng Huang, Wei Xu, and Kai Yu. 2015. Bidirectional LSTM-CRF Models for Sequence Tagging. arxiv: 1907.11692"},{"key":"e_1_3_2_1_19_1","volume-title":"Khandker Mushfiqul Islam, and Chidambaram Crushev","author":"Jafari Omid","year":"2021","unstructured":"Omid Jafari , Preeti Maurya , Parth Nagarkar , Khandker Mushfiqul Islam, and Chidambaram Crushev . 2021 . A Survey on Locality Sensitive Hashing Algorithms and their Applications. CoRR , Vol. abs\/ 2102 .08942 (2021). Omid Jafari, Preeti Maurya, Parth Nagarkar, Khandker Mushfiqul Islam, and Chidambaram Crushev. 2021. A Survey on Locality Sensitive Hashing Algorithms and their Applications. CoRR, Vol. abs\/2102.08942 (2021)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2921572"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1090\/conm\/026\/737400"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080838"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the 3rd International Conference on Learning Representations (ICLR'15)","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma and Jimmy Ba . 2015 . Adam: A method for stochastic optimization . In Proceedings of the 3rd International Conference on Learning Representations (ICLR'15) . Diederik P Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. In Proceedings of the 3rd International Conference on Learning Representations (ICLR'15)."},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the Eighteenth International Conference on Machine Learning (ICML '01)","author":"Lafferty John D.","unstructured":"John D. Lafferty , Andrew McCallum , and Fernando C. N. Pereira . 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data . In Proceedings of the Eighteenth International Conference on Machine Learning (ICML '01) . 282--289. John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML '01). 282--289."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v26i1.8122"},{"key":"e_1_3_2_1_26_1","unstructured":"Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer and Veselin Stoyanov. 2019. RoBERTa: A Robustly Optimized BERT Pretraining Approach. arxiv: cs.CL\/1907.11692  Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer and Veselin Stoyanov. 2019. RoBERTa: A Robustly Optimized BERT Pretraining Approach. arxiv: cs.CL\/1907.11692"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380232"},{"key":"e_1_3_2_1_28_1","volume-title":"Gandomi","author":"\u0141ukasik Szymon","year":"2021","unstructured":"Szymon \u0141ukasik , Andrzej Micha\u0142owski , Piotr A. Kowalski , and Amir H . Gandomi . 2021 . Text-Based Product Matching with\u00a0Incomplete and Inconsistent Items Descriptions. In Computational Science -- ICCS 2021. 92--103. Szymon \u0141ukasik, Andrzej Micha\u0142owski, Piotr A. Kowalski, and Amir H. Gandomi. 2021. Text-Based Product Matching with\u00a0Incomplete and Inconsistent Items Descriptions. In Computational Science -- ICCS 2021. 92--103."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308560.3316603"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1054"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.63"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_1_33_1","volume-title":"5th Workshop on Energy Efficient Machine Learning and Cognitive Computing @ NeurIPS","author":"Sanh Victor","year":"2019","unstructured":"Victor Sanh , Lysandre Debut , Julien Chaumond , and Thomas Wolf . 2019 . DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter . In 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing @ NeurIPS 2019. Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. In 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing @ NeurIPS 2019."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661935"},{"key":"e_1_3_2_1_36_1","volume-title":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM '16)","author":"Gysel Christophe Van","year":"2016","unstructured":"Christophe Van Gysel , Maarten de Rijke , and Evangelos Kanoulas . 2016 . Learning Latent Vector Spaces for Product Search . In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM '16) . 165--174. Christophe Van Gysel, Maarten de Rijke, and Evangelos Kanoulas. 2016. Learning Latent Vector Spaces for Product Search. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM '16). 165--174."},{"key":"e_1_3_2_1_37_1","volume-title":"\u0141 ukasz Kaiser, and Illia Polosukhin","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141 ukasz Kaiser, and Illia Polosukhin . 2017 . Attention is All you Need. In Advances in Neural Information Processing Systems 30. 5998--6008. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141 ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30. 5998--6008."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043995"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133163"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1514"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.710"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219820"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219839"},{"key":"e_1_3_2_1_44_1","volume-title":"KDD 2020 Workshop on Industrial Recommendation.","author":"Zuo Zhen","year":"2020","unstructured":"Zhen Zuo , Lixi Wang , Michinari Momma , Wenbo Wang , Yikai Ni , Jianfeng Lin , and Yi Sun . 2020 . A flexible large-scale similar product identification system in e-commerce . In KDD 2020 Workshop on Industrial Recommendation. Zhen Zuo, Lixi Wang, Michinari Momma, Wenbo Wang, Yikai Ni, Jianfeng Lin, and Yi Sun. 2020. A flexible large-scale similar product identification system in e-commerce. In KDD 2020 Workshop on Industrial Recommendation."}],"event":{"name":"CIKM '22: The 31st ACM International Conference on Information and Knowledge Management","location":"Atlanta GA USA","acronym":"CIKM '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 31st ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557129","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557129","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:56Z","timestamp":1750188656000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557129"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":44,"alternative-id":["10.1145\/3511808.3557129","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557129","relation":{},"subject":[],"published":{"date-parts":[[2022,10,17]]},"assertion":[{"value":"2022-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}