{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:38:50Z","timestamp":1773513530716,"version":"3.50.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031560620","type":"print"},{"value":"9783031560637","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-56063-7_19","type":"book-chapter","created":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T08:44:01Z","timestamp":1711097041000},"page":"278-286","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Adaptive Framework of\u00a0Geographical Group-Specific Network on\u00a0O2O Recommendation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2484-5345","authenticated-orcid":false,"given":"Luo","family":"Ji","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0890-5904","authenticated-orcid":false,"given":"Jiayu","family":"Mao","sequence":"additional","affiliation":[]},{"given":"Hailong","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Qian","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3033-2984","authenticated-orcid":false,"given":"Yunfei","family":"Chu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0580-9728","authenticated-orcid":false,"given":"Hongxia","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,23]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Bian, W., et al.: Can: Feature co-action for click-through rate prediction. In: Proceedings of the 15th ACM International Conference on Web Search and Data Mining. WSDM 2022 (2022)","DOI":"10.1145\/3488560.3498435"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Chen, M., Beutel, A., Covington, P., Jain, S., Belletti, F., Chi, E.H.: Top-k off-policy correction for a reinforce recommender system. In: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, pp. 456\u2013464. WSDM 2019 (2019)","DOI":"10.1145\/3289600.3290999"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. In: Proceedings of the Royal Statistical Society, pp. 1\u201338 (1976)","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Gong, Y., et al.: Edgerec: recommendation system on edge in mobile Taobao. In: Proceedings of the 2020 ACM on Conference on Information and Knowledge Management. CIKM 2020 (2020)","DOI":"10.1145\/3340531.3412700"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Guo, H., Tang, R., Ye, Y., et al.: DeepFM: a factorization-machine based neural network for CTR prediction. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, pp. 1725\u20131731 (2017)","DOI":"10.24963\/ijcai.2017\/239"},{"key":"19_CR6","unstructured":"Hu, Z.: Initializing the EM Algorithm for Data Clustering and Sub-population Detection. Ph.D. thesis, The Ohio State University, Ohio, USA, December 2015"},{"key":"19_CR7","unstructured":"Li, J., Zhou, P., et al.: Prototypical contrastive learning of unsupervised representations. In: Proceedings of the 9th International Conference on Learning Representation. ICLR 2021 (2021)"},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"Lin, S., et al.: Spatiotemporal-enhanced network for click-through rate prediction in location-based services. In: Proceedings of the 2022 ACM on Conference on Information and Knowledge Management. CIKM 2022 (2022)","DOI":"10.1145\/3511808.3557095"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Sheng, X.R., et al.: One model to serve all: Star topology adaptive recommender for multi-domain CTR prediction. In: Proceedings of the 30th ACM International CIKM (2021)","DOI":"10.1145\/3459637.3481941"},{"issue":"2","key":"19_CR10","first-page":"229","volume":"17","author":"RS Sutton","year":"1999","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement learning: an introduction. Robotica 17(2), 229\u2013235 (1999)","journal-title":"Robotica"},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Wang, S., Hu, L., Wang, Y., Longbing, C., Sheng, Q.Z., Orgun, M.: Sequential recommender systems: challenges, progress and prospects. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence IJCAI 2019 (2019)","DOI":"10.24963\/ijcai.2019\/883"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Zhou, G., et al.: Deep interest network for click-through rate prediction. In: The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. KDD 2018 (2018)","DOI":"10.1145\/3219819.3219823"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Zhou, G., Zhu, X., et al.: Deep interest network for click-through rate prediction. In: Proceedings of the 24th ACM SIGKDD, pp. 1059\u20131068 (2018)","DOI":"10.1145\/3219819.3219823"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-56063-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T08:50:38Z","timestamp":1711097438000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-56063-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031560620","9783031560637"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-56063-7_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"23 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Glasgow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 March 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 March 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ecir2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"578","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"110","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"69","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31 (Tracks: Workshop, Tutorial, Industry, Doctoral Consortium)","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}