{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:27:32Z","timestamp":1763202452273,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"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":[[2020,10,19]]},"DOI":"10.1145\/3340531.3412728","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T06:18:51Z","timestamp":1603088331000},"page":"2669-2676","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":53,"title":["MiNet"],"prefix":"10.1145","author":[{"given":"Wentao","family":"Ouyang","sequence":"first","affiliation":[{"name":"Alibaba Group, Beijing, China"}]},{"given":"Xiuwu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}]},{"given":"Lei","family":"Zhao","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}]},{"given":"Jinmei","family":"Luo","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}]},{"given":"Heng","family":"Zou","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}]},{"given":"Zhaojie","family":"Liu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}]},{"given":"Yanlong","family":"Du","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_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_2_2_1","unstructured":"Mathieu Blondel Akinori Fujino Naonori Ueda and Masakazu Ishihata. 2016. Higher-order factorization machines. In NIPS. 3351--3359. Mathieu Blondel Akinori Fujino Naonori Ueda and Masakazu Ishihata. 2016. Higher-order factorization machines. In NIPS. 3351--3359."},{"key":"e_1_3_2_2_3_1","first-page":"61","article-title":"Simple and scalable response prediction for display advertising","volume":"5","author":"Chapelle Olivier","year":"2015","unstructured":"Olivier Chapelle , Eren Manavoglu , and Romer Rosales . 2015 . Simple and scalable response prediction for display advertising . ACM TIST , Vol. 5 , 4 (2015), 61 . Olivier Chapelle, Eren Manavoglu, and Romer Rosales. 2015. Simple and scalable response prediction for display advertising. ACM TIST, Vol. 5, 4 (2015), 61.","journal-title":"ACM TIST"},{"key":"e_1_3_2_2_4_1","volume-title":"et almbox","author":"Cheng Heng-Tze","year":"2016","unstructured":"Heng-Tze Cheng , Levent Koc , Jeremiah Harmsen , Tal Shaked , Tushar Chandra , Hrishi Aradhye , Glen Anderson , Greg Corrado , Wei Chai , Mustafa Ispir , et almbox . 2016 . Wide & deep learning for recommender systems. In DLRS. ACM , 7--10. Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, et almbox. 2016. Wide & deep learning for recommender systems. In DLRS. ACM, 7--10."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In RecSys. ACM 191--198. Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In RecSys. ACM 191--198.","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_2_6_1","volume-title":"JMLR","volume":"12","author":"Duchi John","year":"2011","unstructured":"John Duchi , Elad Hazan , and Yoram Singer . 2011 . Adaptive subgradient methods for online learning and stochastic optimization . JMLR , Vol. 12 , Jul (2011), 2121--2159. John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. JMLR, Vol. 12, Jul (2011), 2121--2159."},{"key":"e_1_3_2_2_7_1","unstructured":"Ali Mamdouh Elkahky Yang Song and Xiaodong He. 2015. A multi-view deep learning approach for cross domain user modeling in recommendation systems. In WWW. IW3C2 278--288. Ali Mamdouh Elkahky Yang Song and Xiaodong He. 2015. A multi-view deep learning approach for cross domain user modeling in recommendation systems. In WWW. IW3C2 278--288."},{"key":"e_1_3_2_2_8_1","unstructured":"Chen Gao Xiangning Chen Fuli Feng Kai Zhao Xiangnan He Yong Li and Depeng Jin. 2019. Cross-domain Recommendation Without Sharing User-relevant Data. In WWW. IW3C2 491--502. Chen Gao Xiangning Chen Fuli Feng Kai Zhao Xiangnan He Yong Li and Depeng Jin. 2019. Cross-domain Recommendation Without Sharing User-relevant Data. In WWW. IW3C2 491--502."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. Deepfm: a factorization-machine based neural network for ctr prediction. In IJCAI. 1725--1731. Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. Deepfm: a factorization-machine based neural network for ctr prediction. In IJCAI. 1725--1731.","DOI":"10.24963\/ijcai.2017\/239"},{"key":"e_1_3_2_2_10_1","unstructured":"Xiangnan He and Tat-Seng Chua. 2017. Neural factorization machines for sparse predictive analytics. In SIGIR. ACM 355--364. Xiangnan He and Tat-Seng Chua. 2017. Neural factorization machines for sparse predictive analytics. In SIGIR. ACM 355--364."},{"key":"e_1_3_2_2_11_1","volume-title":"et almbox","author":"He Xinran","year":"2014","unstructured":"Xinran He , Junfeng Pan , Ou Jin , Tianbing Xu , Bo Liu , Tao Xu , Yanxin Shi , Antoine Atallah , Ralf Herbrich , Stuart Bowers , et almbox . 2014 . Practical lessons from predicting clicks on ads at facebook. In ADKDD. ACM , 1--9. Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, et almbox. 2014. Practical lessons from predicting clicks on ads at facebook. In ADKDD. ACM, 1--9."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271684"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Po-Sen Huang Xiaodong He Jianfeng Gao Li Deng Alex Acero and Larry Heck. 2013. Learning deep structured semantic models for web search using clickthrough data. In CIKM. ACM 2333--2338. Po-Sen Huang Xiaodong He Jianfeng Gao Li Deng Alex Acero and Larry Heck. 2013. Learning deep structured semantic models for web search using clickthrough data. In CIKM. ACM 2333--2338.","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Yuchin Juan Yong Zhuang Wei-Sheng Chin and Chih-Jen Lin. 2016. Field-aware factorization machines for CTR prediction. In RecSys. ACM 43--50. Yuchin Juan Yong Zhuang Wei-Sheng Chin and Chih-Jen Lin. 2016. Field-aware factorization machines for CTR prediction. In RecSys. ACM 43--50.","DOI":"10.1145\/2959100.2959134"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Jianxun Lian Fuzheng Zhang Xing Xie and Guangzhong Sun. 2017. CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems. In WWW Companion. IW3C2 817--818. Jianxun Lian Fuzheng Zhang Xing Xie and Guangzhong Sun. 2017. CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems. In WWW Companion. IW3C2 817--818.","DOI":"10.1145\/3041021.3054207"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"crossref","unstructured":"Tong Man Huawei Shen Xiaolong Jin and Xueqi Cheng. 2017. Cross-Domain Recommendation: An Embedding and Mapping Approach. In IJCAI. 2464--2470. Tong Man Huawei Shen Xiaolong Jin and Xueqi Cheng. 2017. Cross-Domain Recommendation: An Embedding and Mapping Approach. In IJCAI. 2464--2470.","DOI":"10.24963\/ijcai.2017\/343"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Julian McAuley Christopher Targett Qinfeng Shi and Anton Van Den Hengel. 2015. Image-based recommendations on styles and substitutes. In SIGIR. 43--52. Julian McAuley Christopher Targett Qinfeng Shi and Anton Van Den Hengel. 2015. Image-based recommendations on styles and substitutes. In SIGIR. 43--52.","DOI":"10.1145\/2766462.2767755"},{"key":"e_1_3_2_2_18_1","volume-title":"et almbox","author":"McMahan H Brendan","year":"2013","unstructured":"H Brendan McMahan , Gary Holt , David Sculley , Michael Young , Dietmar Ebner , Julian Grady , Lan Nie , Todd Phillips , Eugene Davydov , Daniel Golovin , et almbox . 2013 . Ad click prediction: a view from the trenches. In KDD. ACM , 1222--1230. H Brendan McMahan, Gary Holt, David Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, et almbox. 2013. Ad click prediction: a view from the trenches. In KDD. ACM, 1222--1230."},{"key":"e_1_3_2_2_19_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In NIPS. 3111--3119. Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In NIPS. 3111--3119."},{"key":"e_1_3_2_2_20_1","unstructured":"Vinod Nair and Geoffrey E Hinton. 2010. Rectified linear units improve restricted boltzmann machines. In ICML. 807--814. Vinod Nair and Geoffrey E Hinton. 2010. Rectified linear units improve restricted boltzmann machines. In ICML. 807--814."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"crossref","unstructured":"Wentao Ouyang Xiuwu Zhang Li Li Heng Zou Xin Xing Zhaojie Liu and Yanlong Du. 2019 a. Deep spatio-temporal neural networks for click-through rate prediction. In KDD. 2078--2086. Wentao Ouyang Xiuwu Zhang Li Li Heng Zou Xin Xing Zhaojie Liu and Yanlong Du. 2019 a. Deep spatio-temporal neural networks for click-through rate prediction. In KDD. 2078--2086.","DOI":"10.1145\/3292500.3330655"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Wentao Ouyang Xiuwu Zhang Shukui Ren Chao Qi Zhaojie Liu and Yanlong Du. 2019 b. Representation Learning-Assisted Click-Through Rate Prediction. In IJCAI. 4561--4567. Wentao Ouyang Xiuwu Zhang Shukui Ren Chao Qi Zhaojie Liu and Yanlong Du. 2019 b. Representation Learning-Assisted Click-Through Rate Prediction. In IJCAI. 4561--4567.","DOI":"10.24963\/ijcai.2019\/634"},{"key":"e_1_3_2_2_23_1","volume-title":"Wenliang Zhao, Shengjun Pan, Yu Sun, and Quan Lu.","author":"Pan Junwei","year":"2018","unstructured":"Junwei Pan , Jian Xu , Alfonso Lobos Ruiz , Wenliang Zhao, Shengjun Pan, Yu Sun, and Quan Lu. 2018 . Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. In WWW. IW 3C2, 1349--1357. Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, and Quan Lu. 2018. Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. In WWW. IW3C2, 1349--1357."},{"volume-title":"Product-based neural networks for user response prediction","author":"Qu Yanru","key":"e_1_3_2_2_24_1","unstructured":"Yanru Qu , Han Cai , Kan Ren , Weinan Zhang , Yong Yu , Ying Wen , and Jun Wang . 2016. Product-based neural networks for user response prediction . In ICDM. IEEE , 1149--1154. Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, and Jun Wang. 2016. Product-based neural networks for user response prediction. In ICDM. IEEE, 1149--1154."},{"volume-title":"Factorization machines","author":"Rendle Steffen","key":"e_1_3_2_2_25_1","unstructured":"Steffen Rendle . 2010. Factorization machines . In ICDM. IEEE , 995--1000. Steffen Rendle. 2010. Factorization machines. In ICDM. IEEE, 995--1000."},{"key":"e_1_3_2_2_26_1","unstructured":"Matthew Richardson Ewa Dominowska and Robert Ragno. 2007. Predicting clicks: estimating the click-through rate for new ads. In WWW. IW3C2 521--530. Matthew Richardson Ewa Dominowska and Robert Ragno. 2007. Predicting clicks: estimating the click-through rate for new ads. In WWW. IW3C2 521--530."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"crossref","unstructured":"Ying Shan T Ryan Hoens Jian Jiao Haijing Wang Dong Yu and JC Mao. 2016. Deep crossing: Web-scale modeling without manually crafted combinatorial features. In KDD. ACM 255--262. Ying Shan T Ryan Hoens Jian Jiao Haijing Wang Dong Yu and JC Mao. 2016. Deep crossing: Web-scale modeling without manually crafted combinatorial features. In KDD. ACM 255--262.","DOI":"10.1145\/2939672.2939704"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Ajit P Singh and Geoffrey J Gordon. 2008. Relational learning via collective matrix factorization. In KDD. ACM 650--658. Ajit P Singh and Geoffrey J Gordon. 2008. Relational learning via collective matrix factorization. In KDD. ACM 650--658.","DOI":"10.21236\/ADA486804"},{"key":"e_1_3_2_2_29_1","unstructured":"Aaron Van den Oord Sander Dieleman and Benjamin Schrauwen. 2013. Deep content-based music recommendation. In NIPS. 2643--2651. Aaron Van den Oord Sander Dieleman and Benjamin Schrauwen. 2013. Deep content-based music recommendation. In NIPS. 2643--2651."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Ruoxi Wang Bin Fu Gang Fu and Mingliang Wang. 2017. Deep & cross network for ad click predictions. In ADKDD. ACM 12. Ruoxi Wang Bin Fu Gang Fu and Mingliang Wang. 2017. Deep & cross network for ad click predictions. In ADKDD. ACM 12.","DOI":"10.1145\/3124749.3124754"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Chenyan Xiong Taifeng Wang Wenkui Ding Yidong Shen and Tie-Yan Liu. 2012. Relational click prediction for sponsored search. In WSDM. ACM 493--502. Chenyan Xiong Taifeng Wang Wenkui Ding Yidong Shen and Tie-Yan Liu. 2012. Relational click prediction for sponsored search. In WSDM. ACM 493--502.","DOI":"10.1145\/2124295.2124355"},{"key":"e_1_3_2_2_32_1","unstructured":"Ling Yan Wu-Jun Li Gui-Rong Xue and Dingyi Han. 2014. Coupled group lasso for web-scale ctr prediction in display advertising. In ICML. 802--810. Ling Yan Wu-Jun Li Gui-Rong Xue and Dingyi Han. 2014. Coupled group lasso for web-scale ctr prediction in display advertising. In ICML. 802--810."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","unstructured":"Dawei Yin Shike Mei Bin Cao Jian-Tao Sun and Brian D Davison. 2014. Exploiting contextual factors for click modeling in sponsored search. In WSDM. ACM 113--122. Dawei Yin Shike Mei Bin Cao Jian-Tao Sun and Brian D Davison. 2014. Exploiting contextual factors for click modeling in sponsored search. In WSDM. ACM 113--122.","DOI":"10.1145\/2556195.2556237"},{"key":"e_1_3_2_2_34_1","volume-title":"Defu Lian, Xing Xie, and Wei-Ying Ma.","author":"Zhang Fuzheng","year":"2016","unstructured":"Fuzheng Zhang , Nicholas Jing Yuan , Defu Lian, Xing Xie, and Wei-Ying Ma. 2016 b. Collaborative knowledge base embedding for recommender systems. In KDD. ACM , 353--362. Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, and Wei-Ying Ma. 2016b. Collaborative knowledge base embedding for recommender systems. In KDD. ACM, 353--362."},{"volume-title":"Deep learning over multi-field categorical data","author":"Zhang Weinan","key":"e_1_3_2_2_35_1","unstructured":"Weinan Zhang , Tianming Du , and Jun Wang . 2016a. Deep learning over multi-field categorical data . In ECIR. Springer , 45--57. Weinan Zhang, Tianming Du, and Jun Wang. 2016a. Deep learning over multi-field categorical data. In ECIR. Springer, 45--57."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"crossref","unstructured":"Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018. Deep interest network for click-through rate prediction. In KDD. ACM 1059--1068. Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018. Deep interest network for click-through rate prediction. In KDD. ACM 1059--1068.","DOI":"10.1145\/3219819.3219823"}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Ireland","acronym":"CIKM '20"},"container-title":["Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412728","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3412728","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:55Z","timestamp":1750197775000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412728"}},"subtitle":["Mixed Interest Network for Cross-Domain Click-Through Rate Prediction"],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":37,"alternative-id":["10.1145\/3340531.3412728","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3412728","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}