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Inf. Syst."],"published-print":{"date-parts":[[2025,7,31]]},"abstract":"<jats:p>Cross-domain sequential recommendation (CDSR) utilizes data from multiple domains to recommend the user\u2019s next interaction based on his latest interaction sequence. Currently, many cross-domain sequential recommendation algorithms have been proven to achieve good recommendation performance. However, these algorithms overlook the influence of users\u2019 long-term behavioral patterns and general interests when extracting their current preferences. In this article, we propose a Hierarchical Gating Network for Cross-Domain Sequential Recommendation (HGNCDSR). Specifically, we simultaneously train single-domain and cross-domain interaction sequences, utilizing a hierarchical gating network to capture user interest representations in single-domain and cross-domain, respectively. A feature gating and an instance gating are applied respectively to extract user interests at item feature level and instance level. While learning current preferences from behavior sequences, user representations that reflect behavioral patterns and general interests are simultaneously learned and strengthened. Additionally, we employ the item\u2013item product to model the relationships between candidate items and those in the interaction sequence. Both current interests and item relevance are considered simultaneously, integrating single-domain and cross-domain user preferences to predict the user\u2019s next interaction. We design extensive experiments to show that HGNCDSR has better recommendation performance than other state-of-the-art models.<\/jats:p>","DOI":"10.1145\/3715321","type":"journal-article","created":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T14:11:26Z","timestamp":1741011086000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Hierarchical Gating Network for Cross-Domain Sequential Recommendation"],"prefix":"10.1145","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5326-7209","authenticated-orcid":false,"given":"Shuliang","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2124-7374","authenticated-orcid":false,"given":"Jiabao","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2861-9831","authenticated-orcid":false,"given":"Yi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7933-9813","authenticated-orcid":false,"given":"Chen","family":"Ma","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4515-2151","authenticated-orcid":false,"given":"Xin","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8426-8837","authenticated-orcid":false,"given":"Yansen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2309-1721","authenticated-orcid":false,"given":"Ziqiang","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4520-7174","authenticated-orcid":false,"given":"Sijie","family":"Ruan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,21]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/s11257-012-9131-2","article-title":"Cross-system user modeling and personalization on the social web","volume":"23","author":"Abel Fabian","year":"2013","unstructured":"Fabian Abel, Eelco Herder, Geert-Jan Houben, Nicola Henze, and Daniel Krause. 2013. 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