{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T13:09:45Z","timestamp":1778332185163,"version":"3.51.4"},"publisher-location":"Singapore","reference-count":9,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819203772","type":"print"},{"value":"9789819203789","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-92-0378-9_41","type":"book-chapter","created":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T12:17:59Z","timestamp":1778329079000},"page":"632-641","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Beyond the\u00a0Trigger: Learning Collaborative Context for\u00a0Generalizable Trigger-Induced Recommendation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-6417-1428","authenticated-orcid":false,"given":"Chen","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8638-7534","authenticated-orcid":false,"given":"Zixin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5389-6476","authenticated-orcid":false,"given":"Lv","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2425-0357","authenticated-orcid":false,"given":"Tong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,10]]},"reference":[{"key":"41_CR1","doi-asserted-by":"crossref","unstructured":"Cao, Y., et al.: GIFT: graph-guided feature transfer for cold-start video click-through rate prediction. In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 2964\u20132973 (2022)","DOI":"10.1145\/3511808.3557120"},{"key":"41_CR2","doi-asserted-by":"crossref","unstructured":"Cheng, H.T., et\u00a0al.: Wide & deep learning for recommender systems. In: Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, pp. 7\u201310 (2016)","DOI":"10.1145\/2988450.2988454"},{"key":"41_CR3","doi-asserted-by":"crossref","unstructured":"Feng, Y., et al.: Deep session interest network for click-through rate prediction. arXiv preprint arXiv:1905.06482 (2019)","DOI":"10.24963\/ijcai.2019\/319"},{"key":"41_CR4","unstructured":"Oord, A.v.d., Li, Y., Vinyals, O.: Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 (2018)"},{"key":"41_CR5","unstructured":"Pi, Q., et al.: Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction. CoRR abs\/2006.05639 (2020). https:\/\/arxiv.org\/abs\/2006.05639"},{"key":"41_CR6","doi-asserted-by":"crossref","unstructured":"Shen, Q., et al.: Deep interest highlight network for click-through rate prediction in trigger-induced recommendation. In: Proceedings of the ACM Web Conference 2022, pp. 422\u2013430 (2022)","DOI":"10.1145\/3485447.3511970"},{"key":"41_CR7","doi-asserted-by":"crossref","unstructured":"Xia, Y., Cao, Y., Hu, S., Liu, T., Lu, L.: Deep intention-aware network for click-through rate prediction. In: Companion Proceedings of the ACM Web Conference 2023, pp. 533\u2013537 (2023)","DOI":"10.1145\/3543873.3584661"},{"key":"41_CR8","doi-asserted-by":"crossref","unstructured":"Zhou, G., et al.: Deep interest evolution network for click-through rate prediction. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 5941\u20135948 (2019)","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"41_CR9","doi-asserted-by":"publisher","unstructured":"Zhou, G., et al.: Deep interest network for click-through rate prediction. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, July 2018 (2018). https:\/\/doi.org\/10.1145\/3219819.3219823","DOI":"10.1145\/3219819.3219823"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-0378-9_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T12:18:01Z","timestamp":1778329081000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-0378-9_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819203772","9789819203789"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-0378-9_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"10 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jeju","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 April 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 April 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2026.github.io\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}