{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T22:00:39Z","timestamp":1775253639661,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":32,"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"}],"funder":[{"name":"Zhejiang Lab","award":["2019KE0AB01"],"award-info":[{"award-number":["2019KE0AB01"]}]},{"name":"Zhejiang Provincial Natural Science Foundation","award":["LR19F020003"],"award-info":[{"award-number":["LR19F020003"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557120","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:29:57Z","timestamp":1665883797000},"page":"2964-2973","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction"],"prefix":"10.1145","author":[{"given":"Yi","family":"Cao","sequence":"first","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Sihao","family":"Hu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"given":"Yu","family":"Gong","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Zhao","family":"Li","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"given":"Yazheng","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"given":"Qingwen","family":"Liu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Shouling","family":"Ji","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]}],"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\/2988450.2988454"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330673"},{"key":"e_1_3_2_1_4_1","volume-title":"ICML. PMLR","author":"Ganin Y.","year":"2015","unstructured":"Y. Ganin and V. Lempitsky . Unsupervised domain adaptation by backpropagation . In ICML. PMLR , 2015 . Y. Ganin and V. Lempitsky. Unsupervised domain adaptation by backpropagation. In ICML. PMLR, 2015."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.129"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCAA.2017.8229786"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219885"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00289"},{"key":"e_1_3_2_1_9_1","volume-title":"Sequence-based target coin prediction for cryptocurrency pump-and-dump. arXiv preprint arXiv:2204.12929","author":"Hu S.","year":"2022","unstructured":"S. Hu , Z. Zhang , S. Lu , B. He , and Z. Li . Sequence-based target coin prediction for cryptocurrency pump-and-dump. arXiv preprint arXiv:2204.12929 , 2022 . S. Hu, Z. Zhang, S. Lu, B. He, and Z. Li. Sequence-based target coin prediction for cryptocurrency pump-and-dump. arXiv preprint arXiv:2204.12929, 2022."},{"key":"e_1_3_2_1_10_1","volume":"200","author":"Kim B. M.","unstructured":"B. M. Kim , Q. Li , C. S. Park , A new approach for combining content-based and collaborative filters. Journal of Intelligent Information Systems , 200 6. B. M. Kim, Q. Li, C. S. Park, et al. A new approach for combining content-based and collaborative filters. Journal of Intelligent Information Systems, 2006.","journal-title":"Journal of Intelligent Information Systems"},{"key":"e_1_3_2_1_11_1","volume-title":"Computer","author":"Koren Y.","year":"2009","unstructured":"Y. Koren , R. Bell , and C. Volinsky . tion techniques for recommender systems . Computer , 2009 . Y. Koren, R. Bell, and C. Volinsky. tion techniques for recommender systems. Computer, 2009."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357814"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00149"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401252"},{"key":"e_1_3_2_1_15_1","volume-title":"AAAI","author":"Pan S. J.","year":"2008","unstructured":"S. J. Pan , J. T. Kwok , Q. Yang , Transfer learning via dimensionality reduction . In AAAI , 2008 . S. J. Pan, J. T. Kwok, Q. Yang, et al. Transfer learning via dimensionality reduction. In AAAI, 2008."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330666"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271710"},{"key":"e_1_3_2_1_18_1","volume-title":"A survey of collaborative filtering techniques. Advances in artificial intelligence","author":"Su X.","year":"2009","unstructured":"X. Su and T. M. Khoshgoftaar . A survey of collaborative filtering techniques. Advances in artificial intelligence , 2009 . X. Su and T. M. Khoshgoftaar. A survey of collaborative filtering techniques. Advances in artificial intelligence, 2009."},{"key":"e_1_3_2_1_19_1","volume-title":"Lxmert: Learning cross-modality encoder representations from transformers. arXiv:1908.07490","author":"Tan H.","year":"2019","unstructured":"H. Tan and M. Bansal . Lxmert: Learning cross-modality encoder representations from transformers. arXiv:1908.07490 , 2019 . H. Tan and M. Bansal. Lxmert: Learning cross-modality encoder representations from transformers. arXiv:1908.07490, 2019."},{"key":"e_1_3_2_1_20_1","volume-title":"International Journal of Computer Applications","author":"Thorat P. B.","year":"2015","unstructured":"P. B. Thorat , R. Goudar , and S. Barve . Survey on collaborative filtering, content-based filtering and hybrid recommendation system . International Journal of Computer Applications , 2015 . P. B. Thorat, R. Goudar, and S. Barve. Survey on collaborative filtering, content-based filtering and hybrid recommendation system. International Journal of Computer Applications, 2015."},{"key":"e_1_3_2_1_21_1","volume-title":"Deep domain confusion: Maximizing for domain invariance. CoRR, abs\/1412.3474","author":"Tzeng E.","year":"2014","unstructured":"E. Tzeng , J. Hoffman , N. Zhang , K. Saenko , and T. Darrell . Deep domain confusion: Maximizing for domain invariance. CoRR, abs\/1412.3474 , 2014 . E. Tzeng, J. Hoffman, N. Zhang, K. Saenko, and T. Darrell. Deep domain confusion: Maximizing for domain invariance. CoRR, abs\/1412.3474, 2014."},{"key":"e_1_3_2_1_22_1","volume-title":"MLnet\/ECML2000 workshop","author":"Van Meteren R.","year":"2000","unstructured":"R. Van Meteren and M. Van Someren . Using content-based filtering for recommendation . In MLnet\/ECML2000 workshop , 2000 . R. Van Meteren and M. Van Someren. Using content-based filtering for recommendation. In MLnet\/ECML2000 workshop, 2000."},{"key":"e_1_3_2_1_23_1","volume-title":"Attention is all you need. arXiv:1706.03762","author":"Vaswani A.","year":"2017","unstructured":"A. Vaswani , N. Shazeer , N. Parmar , J. Uszkoreit , Attention is all you need. arXiv:1706.03762 , 2017 . A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, et al. Attention is all you need. arXiv:1706.03762, 2017."},{"key":"e_1_3_2_1_24_1","volume-title":"NIPS","author":"Volkovs M.","year":"2017","unstructured":"M. Volkovs , G. W. Yu , and T. Poutanen . Dropoutnet: Addressing cold start in decommender systems . In NIPS , 2017 . M. Volkovs, G. W. Yu, and T. Poutanen. Dropoutnet: Addressing cold start in decommender systems. In NIPS, 2017."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219869"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00282"},{"key":"e_1_3_2_1_27_1","volume-title":"Large scale product graph construction for recommendation in e-commerce. arXiv:2010.05525","author":"Yang X.","year":"2020","unstructured":"X. Yang , Y. Zhu , Y. Zhang , X. Wang , Large scale product graph construction for recommendation in e-commerce. arXiv:2010.05525 , 2020 . X. Yang, Y. Zhu, Y. Zhang, X. Wang, et al. Large scale product graph construction for recommendation in e-commerce. arXiv:2010.05525, 2020."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411954"},{"key":"e_1_3_2_1_31_1","volume-title":"TKDE","author":"Zhu Y.","year":"2019","unstructured":"Y. Zhu , J. Lin , S. He , B. Wang , Addressing the item cold-start problem by attribute-driven active learning . TKDE , 2019 . Y. Zhu, J. Lin, S. He, B. Wang, et al. Addressing the item cold-start problem by attribute-driven active learning. TKDE, 2019."},{"key":"e_1_3_2_1_32_1","volume":"201","author":"Zhuang F.","unstructured":"F. Zhuang , P. Luo , H. Xiong , Q. He , Exploiting associations between word clusters and document classes for cross-domain text categorization. Statistical Analysis and Data Mining: The ASA Data Science Journal , 201 1. F. Zhuang, P. Luo, H. Xiong, Q. He, et al. Exploiting associations between word clusters and document classes for cross-domain text categorization. Statistical Analysis and Data Mining: The ASA Data Science Journal, 2011.","journal-title":"Statistical Analysis and Data Mining: The ASA Data Science Journal"}],"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\/3511808.3557120","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557120","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\/3511808.3557120"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":32,"alternative-id":["10.1145\/3511808.3557120","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557120","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"}}]}}