{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T10:46:54Z","timestamp":1764845214856,"version":"3.46.0"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T00:00:00Z","timestamp":1762819200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T00:00:00Z","timestamp":1762819200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation","doi-asserted-by":"crossref","award":["62472059"],"award-info":[{"award-number":["62472059"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Chongqing Banan District Science and Technology Bureau","award":["2020QC403"],"award-info":[{"award-number":["2020QC403"]}]},{"name":"Graduate Innovation Project of Chongqing University of Technology","award":["gzlcx20242048"],"award-info":[{"award-number":["gzlcx20242048"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evolving Systems"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s12530-025-09770-1","type":"journal-article","created":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T05:48:14Z","timestamp":1762840094000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing path reasoning scheme to improve conversational recommendation system"],"prefix":"10.1007","volume":"16","author":[{"given":"Xinyu","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1304-6357","authenticated-orcid":false,"given":"Xianying","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengjin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,11]]},"reference":[{"issue":"3","key":"9770_CR1","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/J.WEBSEM.2009.07.002","volume":"7","author":"C Bizer","year":"2009","unstructured":"Bizer C, Lehmann J, Kobilarov G, Auer S, Becker C, Cyganiak R, Hellmann S (2009) Dbpedia\u2014a crystallization point for the web of data. J Web Semant 7(3):154\u2013165. https:\/\/doi.org\/10.1016\/J.WEBSEM.2009.07.002","journal-title":"J Web Semant"},{"issue":"6","key":"9770_CR2","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1038\/scientificamerican0689-86","volume":"260","author":"RN Bracewell","year":"1989","unstructured":"Bracewell RN (1989) The Fourier transform. Sci Am 260(6):86\u201395","journal-title":"Sci Am"},{"key":"9770_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/J.NEUCOM.2023.127219","volume":"574","author":"C Chen","year":"2024","unstructured":"Chen C, Liu H, Liu Z, Liu X, Dou D (2024) Dual-space hierarchical learning for goal-guided conversational recommendation. Neurocomputing 574:127219. https:\/\/doi.org\/10.1016\/J.NEUCOM.2023.127219","journal-title":"Neurocomputing"},{"key":"9770_CR4","doi-asserted-by":"publisher","unstructured":"Chen Q, Lin J, Zhang Y, Ding M, Cen Y, Yang H, Tang J (2019) Towards knowledge-based recommender dialog system. In: Inui K, Jiang J, Ng V, Wan X (eds) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, pp. 1803\u20131813. Association for Computational Linguistics. https:\/\/doi.org\/10.18653\/V1\/D19-1189","DOI":"10.18653\/V1\/D19-1189"},{"key":"9770_CR5","doi-asserted-by":"crossref","unstructured":"Dwivedi S, Srivastava N, Rawal V, Dev D (2024) Healpal chatmate: Ai driven disease diagnosis and recommendation system. In: 2024 2nd International Conference on Disruptive Technologies (ICDT), pp. 1404\u20131408 IEEE","DOI":"10.1109\/ICDT61202.2024.10489509"},{"key":"9770_CR6","doi-asserted-by":"publisher","DOI":"10.1142\/9835","author":"R Goodman","year":"2016","unstructured":"Goodman R (2016) Discrete Fourier and wavelet transforms\u2014an introduction through linear algebra with applications to signal processing. WorldScientific. https:\/\/doi.org\/10.1142\/9835","journal-title":"WorldScientific"},{"key":"9770_CR7","doi-asserted-by":"publisher","unstructured":"Han Y, Wang H, Wang K, Wu L, Li Z, Guo W, Liu Y, Lian D, Chen E (2024) Efficient noise-decoupling for multi-behavior sequential recommendation. In: Chua T, Ngo C, Kumar R, Lauw HW, Lee RK (eds) Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 3297\u20133306. ACM. https:\/\/doi.org\/10.1145\/3589334.3645380","DOI":"10.1145\/3589334.3645380"},{"key":"9770_CR8","unstructured":"Kipf TN, Welling M (2017) Semi-supervised classification with graph convolutional networks. In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, Conference Track Proceedings. OpenReview.net"},{"key":"9770_CR11","doi-asserted-by":"publisher","unstructured":"Li Q, Han Z, Wu X (2018a) Deeper insights into graph convolutional networks for semi-supervised learning. In: McIlraith SA, Weinberger KQ (eds) Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th Innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 3538\u20133545. AAAI Press. https:\/\/doi.org\/10.1609\/AAAI.V32I1.11604","DOI":"10.1609\/AAAI.V32I1.11604"},{"key":"9770_CR12","unstructured":"Li R, Kahou SE, Schulz H, Michalski V, Charlin L, Pal C (2018b) Towards deep conversational recommendations. In: Bengio S, Wallach HM, Larochelle H, Grauman K, Cesa-Bianchi N, Garnett R (eds) Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, Montr\u00e9al, Canada, pp. 9748\u20139758"},{"key":"9770_CR17","doi-asserted-by":"publisher","unstructured":"Li S, Xie R, Zhu Y, Ao X, Zhuang F, He Q (2022) User-centric conversational recommendation with multi-aspect user modeling. In: Amig\u00f3 E, Castells P, Gonzalo J, Carterette B, Culpepper JS, Kazai G (eds) SIGIR \u201922: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 223\u2013233. ACM. https:\/\/doi.org\/10.1145\/3477495.3532074","DOI":"10.1145\/3477495.3532074"},{"key":"9770_CR16","doi-asserted-by":"publisher","unstructured":"Li W, Wei W, Qu X, Mao X, Yuan Y, Xie W, Chen D (2023) TREA: tree-structure reasoning schema for conversational recommendation. In: Rogers A, Boyd-Graber JL, Okazaki N (eds) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9\u201314, 2970\u20132982. Association for Computational Linguistics. https:\/\/doi.org\/10.18653\/V1\/2023.ACL-LONG.167","DOI":"10.18653\/V1\/2023.ACL-LONG.167"},{"key":"9770_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/J.KNOSYS.2024.112119","volume":"299","author":"X Li","year":"2024","unstructured":"Li X, Zhang Y, Huang Y, Li K, Zhang Y, Wang X (2024) Multi-aspect knowledge-enhanced hypergraph attention network for conversational recommendation systems. Knowl Based Syst 299:112119. https:\/\/doi.org\/10.1016\/J.KNOSYS.2024.112119","journal-title":"Knowl Based Syst"},{"key":"9770_CR10","doi-asserted-by":"publisher","unstructured":"Liang Z, Hu H, Xu C, Miao J, He Y, Chen Y, Geng X, Liang F, Jiang D (2021) Learning neural templates for recommender dialogue system. In: Moens M, Huang X, Specia L, Yih SW (eds) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event \/ Punta Cana, Dominican Republic, 7-11 November, pp. 7821\u20137833. Association for Computational Linguistics. https:\/\/doi.org\/10.18653\/V1\/2021.EMNLP-MAIN.617","DOI":"10.18653\/V1\/2021.EMNLP-MAIN.617"},{"key":"9770_CR13","doi-asserted-by":"publisher","unstructured":"Lin D, Wang J, Li W (2023) COLA: improving conversational recommender systems by collaborative augmentation. In: Williams B, Chen Y, Neville J (eds) Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 4462\u20134470. AAAI Press. https:\/\/doi.org\/10.1609\/AAAI.V37I4.25567","DOI":"10.1609\/AAAI.V37I4.25567"},{"key":"9770_CR14","doi-asserted-by":"publisher","unstructured":"Liu B (2012) Sentiment Analysis and opinion mining. Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers, https:\/\/doi.org\/10.2200\/S00416ED1V01Y201204HLT016","DOI":"10.2200\/S00416ED1V01Y201204HLT016"},{"key":"9770_CR15","unstructured":"Liu Y, Ott M, Goyal N, Du J, Joshi M, Chen D, Levy O, Lewis M, Zettlemoyer L, Stoyanov V (2019) Roberta: a robustly optimized BERT pretraining approach. CoRR arXiv:1907.11692"},{"key":"9770_CR18","doi-asserted-by":"publisher","unstructured":"Lu Y, Bao J, Song Y, Ma Z, Cui S, Wu Y, He X (2021) Revcore: review-augmented conversational recommendation. In: Zong C, Xia F, Li W, Navigli, R (eds) Findings of the Association for Computational Linguistics: ACL\/IJCNLP 2021, Online Event, August 1-6, 2021. Findings of ACL, vol. ACL\/IJCNLP pp. 1161\u20131173. Association for Computational Linguistics. https:\/\/doi.org\/10.18653\/V1\/2021.FINDINGS-ACL.99","DOI":"10.18653\/V1\/2021.FINDINGS-ACL.99"},{"key":"9770_CR19","doi-asserted-by":"publisher","unstructured":"Lv A, Li J, Chen Y, Xing G, Zhang J, Yan R (2023) Dialogps: dialogue path sampling in continuous semantic space for data augmentation in multi-turn conversations. In: Rogers A, Boyd-Graber JL, Okazaki N (eds) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 1267\u20131280. Association for Computational Linguistics. https:\/\/doi.org\/10.18653\/V1\/2023.ACL-LONG.70","DOI":"10.18653\/V1\/2023.ACL-LONG.70"},{"key":"9770_CR20","doi-asserted-by":"publisher","unstructured":"Ma W, Takanobu R, Huang M (2021) Cr-walker: Tree-structured graph reasoning and dialog acts for conversational recommendation. In: Moens M, Huang X, Specia L, Yih, SW (eds) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event \/ Punta Cana, Dominican Republic, 7-11 November, pp. 1839\u20131851. Association for Computational Linguistics. https:\/\/doi.org\/10.18653\/V1\/2021.EMNLP-MAIN.139","DOI":"10.18653\/V1\/2021.EMNLP-MAIN.139"},{"key":"9770_CR21","unstructured":"Nummenmaa L, Saarim\u00e4kia H, Glereana E, Gotsopoulosa A, J\u00e4\u00e4skel\u00e4inena IP, Harib R, Samsa M, Glerean E, Hari R, Hietanen JK, et al (2013) Ekman, paul (2007). emotions revealed. recognizing faces and feelings to improve communication and emotional life. new york: Holt paper-back, montgomery, arlene neurobiology essentials for clinicians. what every therapist needs to know, new york, london, ww nor"},{"issue":"1\u20132","key":"9770_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000011","volume":"2","author":"B Pang","year":"2008","unstructured":"Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr 2(1\u20132):1\u2013135. https:\/\/doi.org\/10.1561\/1500000011","journal-title":"Found Trends Inf Retr"},{"key":"9770_CR23","doi-asserted-by":"crossref","unstructured":"Qiu Z, Tao Y, Pan S, Liew AW-C (2024) Knowledge graphs and pretrained language models enhanced representation learning for conversational recommender systems. IEEE Trans Neural Netw Learn Syst","DOI":"10.1109\/TNNLS.2024.3395334"},{"key":"9770_CR24","doi-asserted-by":"publisher","unstructured":"Ren X, Chen T, Nguyen QVH, Cui L, Huang Z, Yin H (2023) Explicit knowledge graph reasoning for conversational recommendation. CoRR abs\/2305.00783 https:\/\/doi.org\/10.48550\/ARXIV.2305.00783","DOI":"10.48550\/ARXIV.2305.00783"},{"key":"9770_CR25","doi-asserted-by":"publisher","unstructured":"Schlichtkrull MS, Kipf TN, Bloem P, Berg R, Titov I, Welling M (2018) Modeling relational data with graph convolutional networks. In: Gangemi A, Navigli R, Vidal M, Hitzler P, Troncy R, Hollink L, Tordai A, Alam M (eds) The Semantic Web - 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3-7, Proceedings. Lecture Notes in Computer Science, vol. 10843, pp. 593\u2013607. Springer. https:\/\/doi.org\/10.1007\/978-3-319-93417-4_38","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"9770_CR26","doi-asserted-by":"publisher","unstructured":"Serban IV, Sordoni A, Lowe R, Charlin L, Pineau J, Courville AC, Bengio Y (2017) A hierarchical latent variable encoder-decoder model for generating dialogues. In: Singh S, Markovitch S (eds) Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, pp. 3295\u20133301. AAAI Press. https:\/\/doi.org\/10.1609\/AAAI.V31I1.10983","DOI":"10.1609\/AAAI.V31I1.10983"},{"key":"9770_CR27","doi-asserted-by":"publisher","unstructured":"Shin Y, Choi J, Wi H, Park N (2024) An attentive inductive bias for sequential recommendation beyond the self-attention. In: Wooldridge MJ, Dy JG, Natarajan S (eds) Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, Vancouver, Canada, pp. 8984\u20138992. AAAI Press. https:\/\/doi.org\/10.1609\/AAAI.V38I8.28747","DOI":"10.1609\/AAAI.V38I8.28747"},{"key":"9770_CR28","doi-asserted-by":"publisher","unstructured":"Speer R, Chin J, Havasi C (2017) Conceptnet 5.5: an open multilingual graph of general knowledge. In: Singh S, Markovitch S(eds) Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, San Francisco, California, USA, pp. 4444\u20134451. AAAI Press. https:\/\/doi.org\/10.1609\/AAAI.V31I1.11164","DOI":"10.1609\/AAAI.V31I1.11164"},{"key":"9770_CR29","doi-asserted-by":"publisher","unstructured":"Tu Q, Gao S, Li Y, Cui J, Wang B, Yan R (2022) Conversational recommendation via hierarchical information modeling. In: Amig\u00f3 E, Castells P, Gonzalo J, Carterette B, Culpepper JS, Kazai G (eds) SIGIR \u201922: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2201\u20132205. ACM. https:\/\/doi.org\/10.1145\/3477495.3531830","DOI":"10.1145\/3477495.3531830"},{"key":"9770_CR30","doi-asserted-by":"crossref","unstructured":"Valtolina S, Matamoros RA, Epifania F (2024) Design of a conversational recommender system in education. User modeling and user-adapted interaction 1\u201329","DOI":"10.21203\/rs.3.rs-3111462\/v1"},{"key":"9770_CR31","unstructured":"Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser L, Polosukhin I (2017) Attention is all you need. In: Guyon I, Luxburg U, Bengio S, Wallach HM, Fergus R, Vishwanathan SVN, Garnett R (eds) Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, pp. 5998\u20136008"},{"key":"9770_CR33","doi-asserted-by":"publisher","unstructured":"Wang X, Zhou K, Wen J, Zhao WX (2022) Towards unified conversational recommender systems via knowledge-enhanced prompt learning. In: Zhang A, Rangwala H (eds) KDD \u201922: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, pp. 1929\u20131937. ACM. https:\/\/doi.org\/10.1145\/3534678.3539382","DOI":"10.1145\/3534678.3539382"},{"key":"9770_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/J.KNOSYS.2023.111129","volume":"282","author":"Y Wang","year":"2023","unstructured":"Wang Y, Zhang Y, Zhu J, Liao W, Yuan M, Zhou W (2023) Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations. Knowl Based Syst 282:111129. https:\/\/doi.org\/10.1016\/J.KNOSYS.2023.111129","journal-title":"Knowl Based Syst"},{"issue":"5","key":"9770_CR34","doi-asserted-by":"publisher","first-page":"3439","DOI":"10.1109\/TSC.2023.3269396","volume":"16","author":"Y Yang","year":"2023","unstructured":"Yang Y, Chen C, Lu T, Huang S (2023) Hierarchical reinforcement learning for conversational recommendation with knowledge graph reasoning and heterogeneous questions. IEEE Trans Serv Comput 16(5):3439\u20133452. https:\/\/doi.org\/10.1109\/TSC.2023.3269396","journal-title":"IEEE Trans Serv Comput"},{"key":"9770_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/J.KNOSYS.2023.111361","volume":"286","author":"C Zhang","year":"2024","unstructured":"Zhang C, Huang X, An J, Zou S (2024) Improving conversational recommender systems via multi-preference modelling and knowledge-enhanced. Knowl Based Syst 286:111361. https:\/\/doi.org\/10.1016\/J.KNOSYS.2023.111361","journal-title":"Knowl Based Syst"},{"issue":"10","key":"9770_CR36","doi-asserted-by":"publisher","first-page":"9890","DOI":"10.1109\/TKDE.2022.3185154","volume":"35","author":"M Zhao","year":"2023","unstructured":"Zhao M, Huang X, Zhu L, Sang J, Yu J (2023) Knowledge graph-enhanced sampling for conversational recommendation system. IEEE Trans Knowl Data Eng 35(10):9890\u20139903. https:\/\/doi.org\/10.1109\/TKDE.2022.3185154","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"1","key":"9770_CR37","doi-asserted-by":"publisher","first-page":"62","DOI":"10.54097\/v160aa61","volume":"10","author":"H Zheng","year":"2024","unstructured":"Zheng H, Xu K, Zhou H, Wang Y, Su G (2024) Medication recommendation system based on natural language processing for patient emotion analysis. Acad J Sci Technol 10(1):62\u201368","journal-title":"Acad J Sci Technol"},{"key":"9770_CR38","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/J.AIOPEN.2021.01.001","volume":"1","author":"J Zhou","year":"2020","unstructured":"Zhou J, Cui G, Hu S, Zhang Z, Yang C, Liu Z, Wang L, Li C, Sun M (2020a) Graph neural networks: a review of methods and applications. AI Open 1:57\u201381. https:\/\/doi.org\/10.1016\/J.AIOPEN.2021.01.001","journal-title":"AI Open"},{"key":"9770_CR43","doi-asserted-by":"publisher","unstructured":"Zhou K, Zhou Y, Zhao WX, Wang X, Wen J (2020b) Towards topic-guided conversational recommender system. In: Scott D, Bel N, Zong C (eds) Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 4128\u20134139. International Committee on Computational Linguistics. https:\/\/doi.org\/10.18653\/V1\/2020.COLING-MAIN.365","DOI":"10.18653\/V1\/2020.COLING-MAIN.365"},{"key":"9770_CR41","doi-asserted-by":"publisher","unstructured":"Zhou K, Zhao WX, Bian S, Zhou Y, Wen J, Yu J (2020c) Improving conversational recommender systems via knowledge graph based semantic fusion. In: Gupta R, Liu Y, Tang J, Prakash BA (eds) KDD \u201920: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, pp. 1006\u20131014. ACM. https:\/\/doi.org\/10.1145\/3394486.3403143","DOI":"10.1145\/3394486.3403143"},{"key":"9770_CR39","doi-asserted-by":"publisher","unstructured":"Zhou J, Wang B, He R, Hou Y (2021) CRFR: improving conversational recommender systems via flexible fragments reasoning on knowledge graphs. In: Moens M, Huang X, Specia L, Yih SW (eds) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event \/ Punta Cana, Dominican Republic, 7-11 November, pp. 4324\u20134334. Association for Computational Linguistics. https:\/\/doi.org\/10.18653\/V1\/2021.EMNLP-MAIN.355","DOI":"10.18653\/V1\/2021.EMNLP-MAIN.355"},{"key":"9770_CR40","doi-asserted-by":"publisher","unstructured":"Zhou K, Yu H, Zhao WX, Wen J (2022a) Filter-enhanced MLP is all you need for sequential recommendation. In: Laforest F, Troncy R, Simperl E, Agarwal D, Gionis A, Herman I, M\u00e9dini L (eds) WWW \u201922: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, pp. 2388\u20132399. ACM. https:\/\/doi.org\/10.1145\/3485447.3512111","DOI":"10.1145\/3485447.3512111"},{"key":"9770_CR42","doi-asserted-by":"publisher","unstructured":"Zhou Y, Zhou K, Zhao WX, Wang C, Jiang P, Hu H (2022b) C$${^2}$$-crs: Coarse-to-fine contrastive learning for conversational recommender system. In: Candan KS, Liu H, Akoglu L, Dong XL, Tang J (eds) WSDM \u201922: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event \/ Tempe, AZ, USA, February 21 - 25, pp. 1488\u20131496. ACM. https:\/\/doi.org\/10.1145\/3488560.3498514","DOI":"10.1145\/3488560.3498514"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-025-09770-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12530-025-09770-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-025-09770-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T10:45:07Z","timestamp":1764845107000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12530-025-09770-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,11]]},"references-count":43,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["9770"],"URL":"https:\/\/doi.org\/10.1007\/s12530-025-09770-1","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"type":"print","value":"1868-6478"},{"type":"electronic","value":"1868-6486"}],"subject":[],"published":{"date-parts":[[2025,11,11]]},"assertion":[{"value":"31 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 November 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All authors consent to the publication of this manuscript.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}],"article-number":"129"}}