{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T11:06:11Z","timestamp":1770289571154,"version":"3.49.0"},"reference-count":47,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","funder":[{"name":"Scientific and Technological Innovation 2030\u2014Major Project of New Generation Artificial Intelligence","award":["2020AAA0109300"],"award-info":[{"award-number":["2020AAA0109300"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2025,1,15]]},"abstract":"<jats:p> Session-based recommendation systems (SRS) can predict the next action of anonymous users based on their historical behavior sequence, while some features directly influence whether an interaction occurs, which leads to inaccurate recommendation results that can\u2019t reflect the user\u2019s real preferences. This causes confounding effects in SRS, which causes the recommendation system to misunderstand user preferences and recommend unsatisfied items to users. To address this problem, we propose a session-based recommendation framework via counterfactual inference and attention networks (SRS-CIAN). This framework introduces external attention mechanisms into session recommendation tasks and combines causal graphs for modeling while capturing information on items within the session. We use counterfactual inference to refactor counterfactual scenarios for handling the confounding effects. Through extensive empirical experiments on real-world datasets, we demonstrate that our approach surpasses several strong baselines for confounding effects. <\/jats:p>","DOI":"10.1142\/s0218126625500343","type":"journal-article","created":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T03:45:57Z","timestamp":1723347957000},"source":"Crossref","is-referenced-by-count":2,"title":["Session-based Recommendation Framework via Counterfactual Inference and Attention Network"],"prefix":"10.1142","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-4886-3198","authenticated-orcid":false,"given":"Zhenhao","family":"Wang","sequence":"first","affiliation":[{"name":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201600, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5476-620X","authenticated-orcid":false,"given":"Bo","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201600, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,9,16]]},"reference":[{"key":"S0218126625500343BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3049262"},{"key":"S0218126625500343BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3202628"},{"key":"S0218126625500343BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119530"},{"key":"S0218126625500343BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3079574"},{"key":"S0218126625500343BIB005","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449788"},{"key":"S0218126625500343BIB007","first-page":"1670","volume-title":"Int. Conf. Machine Learning","author":"Schnabel T.","year":"2016"},{"key":"S0218126625500343BIB008","volume-title":"Causal Inference in Statistics: A Primer","author":"Pearl J.","year":"2016"},{"key":"S0218126625500343BIB009","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482244"},{"key":"S0218126625500343BIB010","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462875"},{"key":"S0218126625500343BIB011","doi-asserted-by":"publisher","DOI":"10.1145\/3606035"},{"key":"S0218126625500343BIB012","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380032"},{"key":"S0218126625500343BIB013","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467376"},{"key":"S0218126625500343BIB014","doi-asserted-by":"publisher","DOI":"10.1145\/3501714.3501736"},{"key":"S0218126625500343BIB015","first-page":"39","volume-title":"Proc. Workshop Causality: Objectives and Assessment","author":"Pearl J.","year":"2010"},{"key":"S0218126625500343BIB016","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/82.4.669"},{"key":"S0218126625500343BIB017","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482071"},{"key":"S0218126625500343BIB018","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00971"},{"key":"S0218126625500343BIB019","first-page":"9109","volume-title":"Int. Conf. Machine Learning","author":"Srivastava M.","year":"2020"},{"key":"S0218126625500343BIB020","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"S0218126625500343BIB021","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498375"},{"key":"S0218126625500343BIB022","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351034"},{"key":"S0218126625500343BIB023","first-page":"6638","volume-title":"Int. Conf. Machine Learning","author":"Wang X.","year":"2019"},{"key":"S0218126625500343BIB024","doi-asserted-by":"publisher","DOI":"10.1145\/3556536"},{"key":"S0218126625500343BIB025","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-017-0762-9"},{"key":"S0218126625500343BIB026","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043955"},{"key":"S0218126625500343BIB027","first-page":"285","volume-title":"Proc. 10th Int. Conf. World Wide Web","author":"Sarwar B.","year":"2021"},{"key":"S0218126625500343BIB028","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"S0218126625500343BIB029","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/70.1.41"},{"key":"S0218126625500343BIB030","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331210"},{"key":"S0218126625500343BIB031","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109896"},{"key":"S0218126625500343BIB032","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358010"},{"key":"S0218126625500343BIB033","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-00129-1_32"},{"key":"S0218126625500343BIB034","doi-asserted-by":"publisher","DOI":"10.1145\/3582435"},{"key":"S0218126625500343BIB035","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219950"},{"key":"S0218126625500343BIB037","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3409391"},{"key":"S0218126625500343BIB038","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-020-09277-1"},{"key":"S0218126625500343BIB039","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/547"},{"key":"S0218126625500343BIB040","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401319"},{"key":"S0218126625500343BIB041","first-page":"1","volume":"42","author":"Gao C.","year":"2024","journal-title":"ACM Trans. Inf. Syst."},{"key":"S0218126625500343BIB042","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00010"},{"key":"S0218126625500343BIB043","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462962"},{"key":"S0218126625500343BIB044","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467289"},{"key":"S0218126625500343BIB045","first-page":"13515","volume":"33","author":"Xu D.","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"S0218126625500343BIB046","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467249"},{"key":"S0218126625500343BIB047","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3159802"},{"key":"S0218126625500343BIB048","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412225"},{"key":"S0218126625500343BIB049","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512092"}],"container-title":["Journal of Circuits, Systems and Computers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218126625500343","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T02:47:18Z","timestamp":1737514038000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218126625500343"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,16]]},"references-count":47,"journal-issue":{"issue":"01","published-print":{"date-parts":[[2025,1,15]]}},"alternative-id":["10.1142\/S0218126625500343"],"URL":"https:\/\/doi.org\/10.1142\/s0218126625500343","relation":{},"ISSN":["0218-1266","1793-6454"],"issn-type":[{"value":"0218-1266","type":"print"},{"value":"1793-6454","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,16]]},"article-number":"2550034"}}