{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T05:21:44Z","timestamp":1755926504750,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"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\/3340531.3417462","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:05Z","timestamp":1603085465000},"page":"3301-3304","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["User Taste-Aware Image Search"],"prefix":"10.1145","author":[{"given":"Jiyun","family":"Luo","sequence":"first","affiliation":[{"name":"Pinterest Inc., San Francisco, CA, USA"}]},{"given":"Pak Ming","family":"Cheung","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, CA, USA"}]},{"given":"Wenyu","family":"Huo","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, CA, USA"}]},{"given":"Ying","family":"Huang","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, CA, USA"}]},{"given":"Rajat","family":"Raina","sequence":"additional","affiliation":[{"name":"Pinterest Inc., San Francisco, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"volume-title":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM '19)","author":"Ai Qingyao","key":"e_1_3_2_2_1_1","unstructured":"Qingyao Ai , Daniel N. Hill , S. V. N. Vishwanathan , and W. Bruce Croft . 2019. A Zero Attention Model for Personalized Product Search . In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM '19) . Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, and W. Bruce Croft. 2019. A Zero Attention Model for Personalized Product Search. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM '19)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"crossref","unstructured":"Noura Bouhlel Ghada Feki and Chokri Ben Amar. 2020. Visual Re-Ranking via Adaptive Collaborative Hypergraph Learning for Image Retrieval. In Advances in Information Retrieval.  Noura Bouhlel Ghada Feki and Chokri Ben Amar. 2020. Visual Re-Ranking via Adaptive Collaborative Hypergraph Learning for Image Retrieval. In Advances in Information Retrieval.","DOI":"10.1007\/978-3-030-45439-5_34"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210036"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331254"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Thibault Formal St\u00e9phane Clinchant Jean-Michel Renders Sooyeol Lee and Geun Hee Cho. 2020. Learning to Rank Images with Cross-Modal Graph Convolutions. In Advances in Information Retrieval.  Thibault Formal St\u00e9phane Clinchant Jean-Michel Renders Sooyeol Lee and Geun Hee Cho. 2020. Learning to Rank Images with Cross-Modal Graph Convolutions. In Advances in Information Retrieval.","DOI":"10.1007\/978-3-030-45439-5_39"},{"key":"e_1_3_2_2_6_1","volume-title":"Stochastic gradient boosting. Computational statistics & data analysis","author":"Friedman Jerome H","year":"2002","unstructured":"Jerome H Friedman . 2002. Stochastic gradient boosting. Computational statistics & data analysis , Vol. 38 , 4 ( 2002 ), 367--378. Jerome H Friedman. 2002. Stochastic gradient boosting. Computational statistics & data analysis, Vol. 38, 4 (2002), 367--378."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219885"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1016"},{"key":"e_1_3_2_2_9_1","volume-title":"Comparative Deep Learning of Hybrid Representations for Image Recommendations. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Lei Chenyi","year":"2016","unstructured":"Chenyi Lei , Dong Liu , Weiping Li , Zheng-Jun Zha , and Houqiang Li . 2016 . Comparative Deep Learning of Hybrid Representations for Image Recommendations. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Chenyi Lei, Dong Liu, Weiping Li, Zheng-Jun Zha, and Houqiang Li. 2016. Comparative Deep Learning of Hybrid Representations for Image Recommendations. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159728"},{"key":"e_1_3_2_2_11_1","unstructured":"Mohammad Norouzi David J Fleet and Russ R Salakhutdinov. 2012. Hamming distance metric learning. In Advances in neural information processing systems. 1061--1069.  Mohammad Norouzi David J Fleet and Russ R Salakhutdinov. 2012. Hamming distance metric learning. In Advances in neural information processing systems. 1061--1069."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403280"},{"volume-title":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14)","author":"Reinecke Katharina","key":"e_1_3_2_2_13_1","unstructured":"Katharina Reinecke and Krzysztof Z. Gajos . 2014. Quantifying Visual Preferences around the World . In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14) . Katharina Reinecke and Krzysztof Z. Gajos. 2014. Quantifying Visual Preferences around the World. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14)."},{"key":"e_1_3_2_2_14_1","volume-title":"A deep learning-based hybrid model for recommendation generation and ranking. NEURAL COMPUTING & APPLICATIONS","author":"Sivaramakrishnan N","year":"2020","unstructured":"N Sivaramakrishnan , V Subramaniyaswamy , Amelec Viloria , V Vijayakumar , and N Senthilselvan . 2020. A deep learning-based hybrid model for recommendation generation and ranking. NEURAL COMPUTING & APPLICATIONS ( 2020 ). N Sivaramakrishnan, V Subramaniyaswamy, Amelec Viloria, V Vijayakumar, and N Senthilselvan. 2020. A deep learning-based hybrid model for recommendation generation and ranking. NEURAL COMPUTING & APPLICATIONS (2020)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"}],"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 & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3417462","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3417462","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:42Z","timestamp":1750197762000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3417462"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":15,"alternative-id":["10.1145\/3340531.3417462","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3417462","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"}}]}}