{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T11:42:11Z","timestamp":1769773331362,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819556397","type":"print"},{"value":"9789819556403","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\/978-981-95-5640-3_24","type":"book-chapter","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T21:07:50Z","timestamp":1769720870000},"page":"372-386","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RCGRL: Reinforcement-Optimized Contrastive Graph Representation Learning for\u00a0Social Recommendation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-4673-1509","authenticated-orcid":false,"given":"Jinqian","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0130-0147","authenticated-orcid":false,"given":"Xing","family":"Xing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3192-3660","authenticated-orcid":false,"given":"Zhichun","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0541-3241","authenticated-orcid":false,"given":"Mindong","family":"Xin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4784-9370","authenticated-orcid":false,"given":"Mingze","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2545-6947","authenticated-orcid":false,"given":"Jiatong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,30]]},"reference":[{"key":"24_CR1","unstructured":"Chen, C., Zhang, M., Liu, Y., Ma, S.: Social recommendation with reinforcement learning. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 659\u2013668 (2019)"},{"key":"24_CR2","doi-asserted-by":"publisher","unstructured":"Chen, T.C., Chen, T.S.: Attention-based social recommendation. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), pp. 1234\u20131240 (2019). https:\/\/doi.org\/10.1609\/aaai.v33i01.33011234","DOI":"10.1609\/aaai.v33i01.33011234"},{"key":"24_CR3","doi-asserted-by":"publisher","unstructured":"Chen, T.C., Chen, T.S.: Lr-GCCF: linear residual graph collaborative filtering. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 2097\u20132100 (2020). https:\/\/doi.org\/10.1145\/3397271.3401207","DOI":"10.1145\/3397271.3401207"},{"key":"24_CR4","unstructured":"Chen, Z., Yuan, Z., Lin, Z., Hu, X.: Adaptive reinforcement learning for personalized recommendation. In: Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), pp. 2857\u20132866 (2023)"},{"key":"24_CR5","doi-asserted-by":"publisher","unstructured":"Fan, F., Tang, J., Jiang, M., Mei, Q.: Graphrec: learning user and item graph representations for recommendation. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), pp. 492\u2013501 (2019). https:\/\/doi.org\/10.1145\/3357384.3357895","DOI":"10.1145\/3357384.3357895"},{"key":"24_CR6","doi-asserted-by":"publisher","unstructured":"Fan, W., et al.: Graph neural networks for social recommendation. In: Proceedings of the 2019 World Wide Web Conference, pp. 417\u2013426 (2019). https:\/\/doi.org\/10.1145\/3308558.3313488","DOI":"10.1145\/3308558.3313488"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Guo, S., Wang, M., Leskovec, J.: The role of social networks in online shopping: information passing, price of trust, and consumer choice. arXiv preprint arXiv:1104.0942 (2011). https:\/\/arxiv.org\/abs\/1104.0942","DOI":"10.1145\/1993574.1993598"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"He, X., et al.: Lightgcn: simplifying and powering graph convolution network for recommendation. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 639\u2013648 (2020)","DOI":"10.1145\/3397271.3401063"},{"key":"24_CR9","unstructured":"Leskovec, J., Adamic, L.A., Huberman, B.A.: The dynamics of viral marketing. arXiv preprint arXiv:physics\/0509039 (2005). https:\/\/arxiv.org\/abs\/physics\/0509039"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Li, Q., Joty, S., Wang, D., Feng, S., Zhang, Y.: Alleviating sparsity of open knowledge graphs with ternary contrastive learning. arXiv preprint arXiv:2211.03950 (2022). https:\/\/arxiv.org\/abs\/2211.03950","DOI":"10.18653\/v1\/2022.findings-emnlp.168"},{"key":"24_CR11","unstructured":"Liu, H., Sun, F., Zhang, Y., Tang, J., Zhang, J.: Contrastive learning for sequential recommendation. In: Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), pp. 407\u2013415 (2021)"},{"key":"24_CR12","unstructured":"Liu, M., et al.: Contrastive learning: a comprehensive review. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)"},{"key":"24_CR13","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: BPR: bayesian personalized ranking from implicit feedback. In: Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 452\u2013461 (2009)"},{"key":"24_CR14","doi-asserted-by":"publisher","unstructured":"Song, Y., Wang, X., Chen, T.S., Wang, P.: Dgrec: dynamic graph-based recommendation model for sequential interaction data. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), pp. 1391\u20131400 (2019). https:\/\/doi.org\/10.1145\/3357384.3357898","DOI":"10.1145\/3357384.3357898"},{"key":"24_CR15","doi-asserted-by":"publisher","unstructured":"Sun, F., et al.: Bert4rec: sequential recommendation with bidirectional encoder representations from transformers. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), pp. 1441\u20131450 (2019). https:\/\/doi.org\/10.1145\/3357384.3357895","DOI":"10.1145\/3357384.3357895"},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Wang, P., Han, K., Wei, X.S., Zhang, L., Wang, L.: Contrastive learning based hybrid networks for long-tailed image classification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 943\u2013952 (2021). https:\/\/arxiv.org\/abs\/2103.14267","DOI":"10.1109\/CVPR46437.2021.00100"},{"key":"24_CR17","unstructured":"Wang, X., Feng, F., Xie, X., Chua, T.S.: Autoloss: automated loss function search for recommender systems. In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), pp. 9198\u20139205 (2021)"},{"key":"24_CR18","doi-asserted-by":"publisher","unstructured":"Wu, L., et al.: A neural influence diffusion model for social recommendation. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 235\u2013244 (2019). https:\/\/doi.org\/10.1145\/3331184.3331214","DOI":"10.1145\/3331184.3331214"},{"key":"24_CR19","doi-asserted-by":"publisher","unstructured":"Wu, L., Chen, T.S., Wang, Y.: Danser: a dual attention social recommendation model. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), pp. 6789\u20136796 (2019). https:\/\/doi.org\/10.1609\/aaai.v33i01.33016789","DOI":"10.1609\/aaai.v33i01.33016789"},{"key":"24_CR20","doi-asserted-by":"publisher","unstructured":"Wu, L., Chen, T.S., Wang, Y.: Diffnet: A neural influence diffusion model for social recommendation. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 305\u2013314 (2019). https:\/\/doi.org\/10.1145\/3331184.3331215","DOI":"10.1145\/3331184.3331215"},{"key":"24_CR21","doi-asserted-by":"crossref","unstructured":"Wu, Y., Chang, X., Zhu, X., Yang, Y.: Self-supervised graph learning for recommendation. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 726\u2013735 (2021)","DOI":"10.1145\/3404835.3462862"},{"key":"24_CR22","unstructured":"Xie, X., Liu, H., Zhang, Y.: Contrastive learning for sequential recommendation. arXiv preprint arXiv:2201.07039 (2022)"},{"key":"24_CR23","unstructured":"Yu, F., Qin, Z., Zhao, X., Li, D.: Graph contrastive learning with augmentations. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), pp. 7058\u20137065 (2022)"},{"key":"24_CR24","unstructured":"Zhao, Y., He, T., Bai, T., Tang, J., Gao, X.: Reinforcement learning-based adaptive recommendation via reward optimization. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 174\u2013183 (2022)"},{"key":"24_CR25","doi-asserted-by":"crossref","unstructured":"Zheng, G., et al.: DRN: a deep reinforcement learning framework for news recommendation. In: Proceedings of the 27th International Conference on World Wide Web (WWW), pp. 167\u2013176 (2018)","DOI":"10.1145\/3178876.3185994"}],"container-title":["Lecture Notes in Computer Science","Web and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-5640-3_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T21:07:55Z","timestamp":1769720875000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5640-3_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819556397","9789819556403"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5640-3_24","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":"30 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APWeb-WAIM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenyang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apwebwaim2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/apweb2025.sau.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}