{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:31:04Z","timestamp":1772119864237,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819722648","type":"print"},{"value":"9789819722624","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\/978-981-97-2262-4_19","type":"book-chapter","created":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T09:02:31Z","timestamp":1713949351000},"page":"231-243","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dual-Graph Convolutional Network and\u00a0Dual-View Fusion for\u00a0Group Recommendation"],"prefix":"10.1007","author":[{"given":"Chenyang","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Guobing","family":"Zou","sequence":"additional","affiliation":[]},{"given":"Shengxiang","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Hehe","family":"Lv","sequence":"additional","affiliation":[]},{"given":"Liangrui","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Bofeng","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,25]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Cao, D., He, X., Miao, L., An, Y., Yang, C., Hong, R.: Attentive group recommendation. In: The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 645\u2013654 (2018)","DOI":"10.1145\/3209978.3209998"},{"issue":"3","key":"19_CR2","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1109\/TKDE.2019.2936475","volume":"33","author":"D Cao","year":"2019","unstructured":"Cao, D., He, X., Miao, L., Xiao, G., Chen, H., Xu, J.: Social-enhanced attentive group recommendation. IEEE Trans. Knowl. Data Eng. 33(3), 1195\u20131209 (2019)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Cremonesi, P., Koren, Y., Turrin, R.: Performance of recommender algorithms on top-N recommendation tasks. In: ACM Conference on Recommender Systems, pp. 39\u201346 (2010)","DOI":"10.1145\/1864708.1864721"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Feng, Y., You, H., Zhang, Z., Ji, R., Gao, Y.: Hypergraph neural networks. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a033, pp. 3558\u20133565 (2019)","DOI":"10.1609\/aaai.v33i01.33013558"},{"issue":"1","key":"19_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3457949","volume":"40","author":"L Guo","year":"2021","unstructured":"Guo, L., Yin, H., Chen, T., Zhang, X., Zheng, K.: Hierarchical hyperedge embedding-based representation learning for group recommendation. ACM Trans. Inf. Syst. 40(1), 1\u201327 (2021)","journal-title":"ACM Trans. Inf. Syst."},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Guo, L., Yin, H., Wang, Q., Cui, B., Huang, Z., Cui, L.: Group recommendation with latent voting mechanism. In: IEEE International Conference on Data Engineering, pp. 121\u2013132. IEEE (2020)","DOI":"10.1109\/ICDE48307.2020.00018"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.S.: Neural collaborative filtering. In: International Conference on World Wide Web, pp. 173\u2013182 (2017)","DOI":"10.1145\/3038912.3052569"},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"He, Z., Chow, C.Y., Zhang, J.D.: GAME: learning graphical and attentive multi-view embeddings for occasional group recommendation. In: International ACM SIGIR Conference on Research and Development in Information Retrieval (2020)","DOI":"10.1145\/3397271.3401064"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Jia, R., Zhou, X., Dong, L., Pan, S.: Hypergraph convolutional network for group recommendation. In: IEEE International Conference on Data Mining, pp. 260\u2013269. IEEE (2021)","DOI":"10.1109\/ICDM51629.2021.00036"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Liu, X., Tian, Y., Ye, M., Lee, W.C.: Exploring personal impact for group recommendation. In: ACM International Conference on Information and Knowledge Management, pp. 674\u2013683 (2012)","DOI":"10.1145\/2396761.2396848"},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Wang, X., He, X., Nie, L., Chua, T.S.: Item silk road: recommending items from information domains to social users. In: International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 185\u2013194 (2017)","DOI":"10.1145\/3077136.3080771"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Wu, X., et al.: ConsRec: learning consensus behind interactions for group recommendation. In: Proceedings of the ACM Web Conference 2023, pp. 240\u2013250 (2023)","DOI":"10.1145\/3543507.3583277"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Xia, X., Yin, H., Yu, J., Wang, Q., Cui, L., Zhang, X.: Self-supervised hypergraph convolutional networks for session-based recommendation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a035, pp. 4503\u20134511 (2021)","DOI":"10.1609\/aaai.v35i5.16578"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Yin, H., Wang, Q., Zheng, K., Li, Z., Yang, J., Zhou, X.: Social influence-based group representation learning for group recommendation. In: International Conference on Data Engineering, pp. 566\u2013577. IEEE (2019)","DOI":"10.1109\/ICDE.2019.00057"},{"key":"19_CR15","first-page":"3447","volume":"34","author":"H Yin","year":"2020","unstructured":"Yin, H., Wang, Q., Zheng, K., Li, Z., Zhou, X.: Overcoming data sparsity in group recommendation. IEEE Trans. Knowl. Data Eng. 34, 3447\u20133460 (2020)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Yuan, Q., Cong, G., Lin, C.Y.: COM: a generative model for group recommendation. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 163\u2013172 (2014)","DOI":"10.1145\/2623330.2623616"},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, J., Gao, M., Yu, J., Guo, L., Li, J., Yin, H.: Double-scale self-supervised hypergraph learning for group recommendation. In: ACM International Conference on Information and Knowledge Management, pp. 2557\u20132567 (2021)","DOI":"10.1145\/3459637.3482426"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-2262-4_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T09:19:26Z","timestamp":1713950366000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-2262-4_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819722648","9789819722624"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-2262-4_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":"25 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taipei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","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":"7 May 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 May 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pakdd2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}