{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T02:50:45Z","timestamp":1785466245896,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T00:00:00Z","timestamp":1631491200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,13]]},"DOI":"10.1145\/3460231.3474228","type":"proceedings-article","created":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T21:45:02Z","timestamp":1631569502000},"page":"422-431","source":"Crossref","is-referenced-by-count":9,"title":["Shared Neural Item Representations for Completely Cold Start Problem"],"prefix":"10.1145","author":[{"given":"Ramin","family":"Raziperchikolaei","sequence":"first","affiliation":[{"name":"Rakuten, Inc., United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guannan","family":"Liang","sequence":"additional","affiliation":[{"name":"Rakuten, Inc., United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young-joo","family":"Chung","sequence":"additional","affiliation":[{"name":"Rakuten, Inc., United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,9,13]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Proceedings of the 13th ACM Conference on Recommender Systems (RecSys). https:\/\/doi.org\/10","author":"Barkan Oren","year":"2019","unstructured":"Oren Barkan , Noam Koenigstein , Eylon Yogev , and Ori Katz . 2019 . CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations . In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys). https:\/\/doi.org\/10 .1145\/3298689.3347038 Oren Barkan, Noam Koenigstein, Eylon Yogev, and Ori Katz. 2019. CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys). https:\/\/doi.org\/10.1145\/3298689.3347038"},{"key":"e_1_3_2_2_2_1","volume-title":"Proceedings of the 7th IEEE International Conference Data Mining (ICDM).","author":"M.","unstructured":"Robert\u00a0 M. Bell and Yehuda Koren. 2007. Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights . In Proceedings of the 7th IEEE International Conference Data Mining (ICDM). Robert\u00a0M. Bell and Yehuda Koren. 2007. Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights. In Proceedings of the 7th IEEE International Conference Data Mining (ICDM)."},{"key":"e_1_3_2_2_3_1","unstructured":"David\u00a0M. Blei Andrew\u00a0Y. Ng and Michael\u00a0I. Jordan. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research (JMLR)(2003).  David\u00a0M. Blei Andrew\u00a0Y. Ng and Michael\u00a0I. Jordan. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research (JMLR)(2003)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080797"},{"key":"e_1_3_2_2_5_1","volume-title":"Proceedings of the 29th International Conference on Machine Learning (ICML).","author":"Chen Minmin","year":"2012","unstructured":"Minmin Chen , Zhixiang Xu , Kilian\u00a0 Q. Weinberger , and Fei Sha . 2012 . Marginalized denoising autoencoders for domain adaptation . In Proceedings of the 29th International Conference on Machine Learning (ICML). Minmin Chen, Zhixiang Xu, Kilian\u00a0Q. Weinberger, and Fei Sha. 2012. Marginalized denoising autoencoders for domain adaptation. In Proceedings of the 29th International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_2_6_1","volume-title":"Proceedings of the 31st AAAI Conference on Artificial Intelligence.","author":"Dong Xin","year":"2017","unstructured":"Xin Dong , Lei Yu , Zhonghuo Wu , Yuxia Sun , Lingfeng Yuan , and Fangxi Zhang . 2017 . A hybrid collaborative filtering model with deep structure for recommender systems . In Proceedings of the 31st AAAI Conference on Artificial Intelligence. Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, and Fangxi Zhang. 2017. A hybrid collaborative filtering model with deep structure for recommender systems. In Proceedings of the 31st AAAI Conference on Artificial Intelligence."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.330161"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305498"},{"key":"e_1_3_2_2_9_1","volume-title":"Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI).","author":"Gopalan Prem","year":"2015","unstructured":"Prem Gopalan , Jake\u00a0 M. Hofman , and David\u00a0 M. Blei . 2015 . Scalable recommendation with hierarchical Poisson factorization . In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI). Prem Gopalan, Jake\u00a0M. Hofman, and David\u00a0M. Blei. 2015. Scalable recommendation with hierarchical Poisson factorization. In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI)."},{"key":"e_1_3_2_2_10_1","volume-title":"Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI).","author":"He Xiangnan","year":"2018","unstructured":"Xiangnan He , Xiaoyu Du , Xiang Wang , Feng Tian , Jinhui Tang , and Tat-Seng Chua . 2018 . Outer Product-Based Neural Collaborative Filtering . In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI). Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, and Tat-Seng Chua. 2018. Outer Product-Based Neural Collaborative Filtering. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI)."},{"key":"e_1_3_2_2_11_1","volume-title":"NAIS: Neural Attentive Item Similarity Model for Recommendation","author":"He Xiangnan","year":"2018","unstructured":"Xiangnan He , Zhankui He , Jingkuan Song , Zhenguang Liu , Yu-Gang Jiang , and Tat-Seng Chua . 2018 . NAIS: Neural Attentive Item Similarity Model for Recommendation . IEEE Transactions on Knowledge and Data Engineering ( 2018), 2354\u20132366. Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, and Tat-Seng Chua. 2018. NAIS: Neural Attentive Item Similarity Model for Recommendation. IEEE Transactions on Knowledge and Data Engineering (2018), 2354\u20132366."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Thomas Hofmann. 2004. Latent Semantic Models for Collaborative Filtering. ACM Transactions on Information Systems(2004) 89\u2013115.  Thomas Hofmann. 2004. Latent Semantic Models for Collaborative Filtering. ACM Transactions on Information Systems(2004) 89\u2013115.","DOI":"10.1145\/963770.963774"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330859"},{"key":"e_1_3_2_2_17_1","volume-title":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM). https:\/\/doi.org\/10","author":"Li Sheng","year":"2015","unstructured":"Sheng Li , Jaya Kawale , and Yun Fu . 2015 . Deep Collaborative Filtering via Marginalized Denoising Auto-encoder . In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM). https:\/\/doi.org\/10 .1145\/2806416.2806527 Sheng Li, Jaya Kawale, and Yun Fu. 2015. Deep Collaborative Filtering via Marginalized Denoising Auto-encoder. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM). https:\/\/doi.org\/10.1145\/2806416.2806527"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00153"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463051"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","unstructured":"Francesco Ricci Lior Rokach Bracha Shapira and Paul\u00a0B. Kantor (Eds.). 2011. Recommender Systems Handbook. Springer US. https:\/\/doi.org\/10.1007\/978-0-387-85820-3  Francesco Ricci Lior Rokach Bracha Shapira and Paul\u00a0B. Kantor (Eds.). 2011. Recommender Systems Handbook. Springer US. https:\/\/doi.org\/10.1007\/978-0-387-85820-3","DOI":"10.1007\/978-0-387-85820-3"},{"key":"e_1_3_2_2_21_1","volume-title":"Proceedings of the 28th International Conference on Machine Learning (ICML).","author":"Rifai Salah","year":"2011","unstructured":"Salah Rifai , Pascal Vincent , Xavier Muller , Xavier Glorot , and Yoshua Bengio . 2011 . Contractive auto-encoders: explicit invariance during feature extraction . In Proceedings of the 28th International Conference on Machine Learning (ICML). Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, and Yoshua Bengio. 2011. Contractive auto-encoders: explicit invariance during feature extraction. In Proceedings of the 28th International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/2981562.2981720"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271710"},{"key":"e_1_3_2_2_24_1","volume-title":"Web-Scale Multimedia Analysis: Does Content Matter?IEEE Multimedia","author":"Slaney Malcolm","year":"2011","unstructured":"Malcolm Slaney . 2011. Web-Scale Multimedia Analysis: Does Content Matter?IEEE Multimedia ( 2011 ), 12\u201315. Malcolm Slaney. 2011. Web-Scale Multimedia Analysis: Does Content Matter?IEEE Multimedia (2011), 12\u201315."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988456"},{"key":"e_1_3_2_2_26_1","volume-title":"Proceedings of the 2nd ACM Conference on Recommender Systems (RecSys). https:\/\/doi.org\/10","author":"Tak\u00e1cs G\u00e1bor","year":"2008","unstructured":"G\u00e1bor Tak\u00e1cs , Istv\u00e1n Pil\u00e1szy , Botty\u00e1n N\u00e9meth , and Domonkos Tikk . 2008 . Matrix factorization and neighbor based algorithms for the netflix prize problem . In Proceedings of the 2nd ACM Conference on Recommender Systems (RecSys). https:\/\/doi.org\/10 .1145\/1454008.1454049 G\u00e1bor Tak\u00e1cs, Istv\u00e1n Pil\u00e1szy, Botty\u00e1n N\u00e9meth, and Domonkos Tikk. 2008. Matrix factorization and neighbor based algorithms for the netflix prize problem. In Proceedings of the 2nd ACM Conference on Recommender Systems (RecSys). https:\/\/doi.org\/10.1145\/1454008.1454049"},{"key":"e_1_3_2_2_27_1","volume-title":"Proceedings of the 26th International Conference on Neural Information Processing Systems (NIPS).","author":"van\u00a0den Oord A\u00e4ron","year":"2013","unstructured":"A\u00e4ron van\u00a0den Oord , Sander Dieleman , and Benjamin Schrauwen . 2013 . Deep content-based music recommendation . In Proceedings of the 26th International Conference on Neural Information Processing Systems (NIPS). A\u00e4ron van\u00a0den Oord, Sander Dieleman, and Benjamin Schrauwen. 2013. Deep content-based music recommendation. In Proceedings of the 26th International Conference on Neural Information Processing Systems (NIPS)."},{"key":"e_1_3_2_2_28_1","unstructured":"Pascal Vincent Hugo Larochelle Isabelle Lajoie Yoshua Bengio and Pierre antoine Manzagol. 2010. Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. Journal of Machine Learning Research (JMLR)(2010).  Pascal Vincent Hugo Larochelle Isabelle Lajoie Yoshua Bengio and Pierre antoine Manzagol. 2010. Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. Journal of Machine Learning Research (JMLR)(2010)."},{"key":"e_1_3_2_2_29_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS).","author":"Volkovs Maksims","year":"2017","unstructured":"Maksims Volkovs , Guangwei Yu , and Tomi Poutanen . 2017 . DropoutNet: Addressing Cold Start in Recommender Systems . In Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS). Maksims Volkovs, Guangwei Yu, and Tomi Poutanen. 2017. DropoutNet: Addressing Cold Start in Recommender Systems. In Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS)."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020480"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783273"},{"key":"e_1_3_2_2_32_1","volume-title":"Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI). https:\/\/doi.org\/10","author":"Xue Hong-Jian","year":"2017","unstructured":"Hong-Jian Xue , Xinyu Dai , Jianbing Zhang , Shujian Huang , and Jiajun Chen . 2017 . Deep Matrix Factorization Models for Recommender Systems . In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI). https:\/\/doi.org\/10 .24963\/ijcai.2017\/447 Hong-Jian Xue, Xinyu Dai, Jianbing Zhang, Shujian Huang, and Jiajun Chen. 2017. Deep Matrix Factorization Models for Recommender Systems. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI). https:\/\/doi.org\/10.24963\/ijcai.2017\/447"},{"key":"e_1_3_2_2_33_1","volume-title":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). https:\/\/doi.org\/10","author":"Zhang Shuai","year":"2017","unstructured":"Shuai Zhang , Lina Yao , and Xiwei Xu . 2017 . AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders . In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). https:\/\/doi.org\/10 .1145\/3077136.3080689 Shuai Zhang, Lina Yao, and Xiwei Xu. 2017. AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). https:\/\/doi.org\/10.1145\/3077136.3080689"},{"key":"e_1_3_2_2_34_1","volume-title":"Proceedings of the 26th ACM International on Conference on Information and Knowledge Management (CIKM). https:\/\/doi.org\/10","author":"Zhang Yongfeng","year":"2017","unstructured":"Yongfeng Zhang , Qingyao Ai , Xu Chen , and W.\u00a0 Bruce Croft . 2017 . Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources . In Proceedings of the 26th ACM International on Conference on Information and Knowledge Management (CIKM). https:\/\/doi.org\/10 .1145\/3132847.3132892 Yongfeng Zhang, Qingyao Ai, Xu Chen, and W.\u00a0Bruce Croft. 2017. Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. In Proceedings of the 26th ACM International on Conference on Information and Knowledge Management (CIKM). https:\/\/doi.org\/10.1145\/3132847.3132892"}],"event":{"name":"RecSys '21: Fifteenth ACM Conference on Recommender Systems","location":"Amsterdam Netherlands","acronym":"RecSys '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGecom Special Interest Group on Economics and Computation"]},"container-title":["Fifteenth ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460231.3474228","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3460231.3474228","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:17Z","timestamp":1750191137000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460231.3474228"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,13]]},"references-count":34,"alternative-id":["10.1145\/3460231.3474228","10.1145\/3460231"],"URL":"https:\/\/doi.org\/10.1145\/3460231.3474228","relation":{},"subject":[],"published":{"date-parts":[[2021,9,13]]}}}