{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:10:26Z","timestamp":1742911826318,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031160745"},{"type":"electronic","value":"9783031160752"}],"license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-16075-2_53","type":"book-chapter","created":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T10:02:42Z","timestamp":1661940162000},"page":"724-733","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Brand Recommendations for\u00a0Cold-Start Problems Using Brand Embeddings"],"prefix":"10.1007","author":[{"given":"David","family":"Azcona","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alan F.","family":"Smeaton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,1]]},"reference":[{"key":"53_CR1","unstructured":"Erin Boyle. Understanding latent style (2018)"},{"key":"53_CR2","unstructured":"Bracher, C., Heinz, S., Vollgraf, R.: Fashion DNA: merging content and sales data for recommendation and article mapping. arXiv preprint arXiv:1609.02489 (2016)"},{"key":"53_CR3","unstructured":"Shiebler, L.B.D., Green, C., Tayal, A.: Embeddings@twitter (2018)"},{"key":"53_CR4","unstructured":"Dogani, K., Tomassetti, M., Vargas, S., Chamberlain, B.P., De Cnudde, S.: Learning embeddings for product size recommendations. In: eCOM@ SIGIR (2019)"},{"key":"53_CR5","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: Proceedings of the thirteenth international conference on artificial intelligence and statistics, pp. 249\u2013256, JMLR Workshop and Conference Proceedings (2010)"},{"key":"53_CR6","unstructured":"Kula, M.: Metadata embeddings for user and item cold-start recommendations. arXiv preprint arXiv:1507.08439 (2015)"},{"key":"53_CR7","doi-asserted-by":"crossref","unstructured":"Sheikh, A.-S.: A deep learning system for predicting size and fit in fashion e-commerce. In: Proceedings of the 13th ACM conference on recommender systems, pp. 110\u2013118 (2019)","DOI":"10.1145\/3298689.3347006"},{"key":"53_CR8","unstructured":"Grace Tenorio.: Building a recommender system using embeddings (2019)"},{"key":"53_CR9","unstructured":"Truong, S.: Collaborative embeddings for lipstick recommendations. A sephora sea machine learning case study (2018)"},{"key":"53_CR10","unstructured":"Wang, Y., Wang, L., Li, Y., He, D., Chen, W., Liu, T.-Y.: A theoretical analysis of NDGC ranking measures. In: Proceedings of the 26th annual conference on learning theory (COLT 2013), vol. 8, p. 6, Citeseer (2013)"},{"key":"53_CR11","unstructured":"Zhao, X., Louca, R., Hu, D., Hong, L.: Learning item-interaction embeddings for user recommendations. arXiv preprint arXiv:1812.04407 (2018)"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16075-2_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T10:05:48Z","timestamp":1661940348000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16075-2_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,1]]},"ISBN":["9783031160745","9783031160752"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16075-2_53","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022,9,1]]},"assertion":[{"value":"1 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IntelliSys","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Proceedings of SAI Intelligent Systems Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intellisys2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/saiconference.com\/IntelliSys","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}