{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T09:58:01Z","timestamp":1743155881318,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031203084"},{"type":"electronic","value":"9783031203091"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-20309-1_46","type":"book-chapter","created":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T06:11:35Z","timestamp":1670393495000},"page":"521-532","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-preference Book Recommendation Method Based on Graph Convolution Neural Network"],"prefix":"10.1007","author":[{"given":"Shuai","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Xing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunshuo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongxuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Niu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhichun","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,8]]},"reference":[{"key":"46_CR1","doi-asserted-by":"crossref","unstructured":"Wang, X., He, X., et al.: Neural graph collaborative filtering. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, July 2019, pp. 165\u2013174 (2019)","DOI":"10.1145\/3331184.3331267"},{"issue":"8","key":"46_CR2","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42(8), 30\u201337 (2009)","journal-title":"Computer"},{"key":"46_CR3","doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., et al.: Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web, WWW 2017, April 2017, pp. 173\u2013182 (2017)","DOI":"10.1145\/3038912.3052569"},{"key":"46_CR4","doi-asserted-by":"crossref","unstructured":"Guo, H., Tang, R., et al.: DeepFM: a factorization-machine based neural network for CTR prediction. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, IJCAI 2017, August 2017, pp. 1725\u20131731 (2017)","DOI":"10.24963\/ijcai.2017\/239"},{"key":"46_CR5","doi-asserted-by":"crossref","unstructured":"Rendle, S.: Factorization machines. In: Proceedings of the 10th IEEE International Conference on Data Mining, ICDM 2010, December 2010, pp. 14\u201317 (2010)","DOI":"10.1109\/ICDM.2010.127"},{"key":"46_CR6","doi-asserted-by":"crossref","unstructured":"Chen, J., Zhou, D., et al.: Closing the generalization gap of adaptive gradient methods in training deep neural networks. In: Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence, IJCAI 2020, pp. 3267\u20133275 (2020)","DOI":"10.24963\/ijcai.2020\/452"},{"key":"46_CR7","doi-asserted-by":"crossref","unstructured":"Cheng, H.T., Koc, L, et al.: Wide & deep learning for recommender systems. In: Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS 2016, September 2016, pp. 7\u201310 (2016)","DOI":"10.1145\/2988450.2988454"},{"key":"46_CR8","doi-asserted-by":"crossref","unstructured":"Covington, P., Adams, J., Sargin, E.: Deep neural networks for YouTube recommendations. In: Proceedings of the 10th ACM Conference on Recommender Systems 2016, pp. 191\u2013198 (2016)","DOI":"10.1145\/2959100.2959190"},{"key":"46_CR9","doi-asserted-by":"crossref","unstructured":"Gao, C., Zheng Y., et al.: Graph neural networks for recommender systems: challenges, methods, and directions. In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, WSDM 2022, February 2022, pp. 1623\u20131625 (2022)","DOI":"10.1145\/3488560.3501396"},{"key":"46_CR10","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TNNLS.2020.2978386","volume":"32","author":"Z Wu","year":"2019","unstructured":"Wu, Z., Pan, S., et al.: A comprehensive survey on graph neural networks. IEEE Trans. Neural Netw. Learn. Syst. 32, 4\u201324 (2019)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"46_CR11","doi-asserted-by":"crossref","unstructured":"Fan, W., Ma, Y., et al.: Graph neural networks for social recommendation. In: Proceedings of the World Wide Web Conference, WWW 2019, May 2019, pp. 417\u2013426 (2019)","DOI":"10.1145\/3308558.3313488"},{"issue":"3","key":"46_CR12","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/MSP.2012.2235192","volume":"30","author":"DI Shuman","year":"2013","unstructured":"Shuman, D.I., Narang, S.K., et al.: The emerging field of signal processing on graphs: extending high-dimensional data analysis to networks and other irregular domains. IEEE Signal Process. Mag. 30(3), 83\u201398 (2013)","journal-title":"IEEE Signal Process. Mag."},{"key":"46_CR13","unstructured":"Defferrard, M., Bresson, X., Vandergheynst, P.: Convolutional neural networks on graphs with fast localized spectral filtering. In: Proceedings of the 30th International Conference on Neural Information Processing Systems, NIPS 2016, December 2016, pp. 3844\u20133852 (2016)"},{"key":"46_CR14","doi-asserted-by":"crossref","unstructured":"Chiang, W.L., Liu, X., et al.: Cluster-GCN: an efficient algorithm for training deep and large graph convolutional networks. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2019, July 2019, pp. 257\u2013266 (2019)","DOI":"10.1145\/3292500.3330925"},{"key":"46_CR15","unstructured":"Velikovi, P., Cucurull, G., et al.: Graph attention networks. In: Proceedings of the 6th International Conference on Learning Representations (2018)"},{"key":"46_CR16","doi-asserted-by":"crossref","unstructured":"Zhao, H., et al.: Multivariate time-series anomaly detection via graph attention network. In: IEEE International Conference on Data Mining 2020, pp. 269\u2013279 (2020)","DOI":"10.1109\/ICDM50108.2020.00093"},{"key":"46_CR17","doi-asserted-by":"crossref","unstructured":"Song, W., Xiao, Z., et al.: Session-based social recommendation via dynamic graph attention networks. In: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, January 2019, pp. 555\u2013563 (2019)","DOI":"10.1145\/3289600.3290989"},{"key":"46_CR18","doi-asserted-by":"crossref","unstructured":"Chen, C., Zhang, M., et al.: Neural attentional rating regression with review-level explanations. In: Proceedings of the 2018 World Wide Web Conference, WWW 2018, April 2018, pp.1583\u20131592 (2018)","DOI":"10.1145\/3178876.3186070"},{"key":"46_CR19","doi-asserted-by":"crossref","unstructured":"Yang, Z., Yang, D., et al.: Hierarchical attention networks for document classification. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.1480\u20131489 (2016)","DOI":"10.18653\/v1\/N16-1174"},{"key":"46_CR20","unstructured":"Louizos, C., Welling, M., Kingma, D.P.: Learning sparse neural networks through regularization. In: Proceedings of the 6th International Conference on Learning Representations (2019)"},{"key":"46_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TKDE.2018.2816018","volume":"30","author":"S Wang","year":"2018","unstructured":"Wang, S., Tang, J., et al.: Exploring hierarchical structures for recommender systems. IEEE Trans. Knowl. Data Eng. 30, 1 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"46_CR22","unstructured":"Salakhutdinov, R.: Probabilistic matrix factorization. In: Proceedings of the 20th International Conference on Neural Information Processing Systems, NIPS 2007 December 2007, pp.1257\u20131264 (2007)"},{"key":"46_CR23","doi-asserted-by":"crossref","unstructured":"Sedhain, S., Menon AK, et al.: AutoRec: autoencoders meet collaborative filtering. In: Proceedings of the 24th International Conference on World Wide Web Companion, WWW 2015, May 2015, pp.111\u2013112 (2015)","DOI":"10.1145\/2740908.2742726"},{"key":"46_CR24","doi-asserted-by":"crossref","unstructured":"Koren, Y.: Factorization meets the neighborhood: a multifaceted collaborative filtering model. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2008, August 2008, pp. 426\u2013434 (2008)","DOI":"10.1145\/1401890.1401944"},{"key":"46_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1007\/978-3-030-87571-8_43","volume-title":"Web Information Systems and Applications","author":"C Li","year":"2021","unstructured":"Li, C., Zhai, R., Zuo, F., Yu, J., Zhang, L.: Mixed multi-channel graph convolution network on complex relation graph. In: Xing, C., Fu, X., Zhang, Y., Zhang, G., Borjigin, C. (eds.) WISA 2021. LNCS, vol. 12999, pp. 497\u2013504. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-87571-8_43"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20309-1_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T20:08:58Z","timestamp":1674590938000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20309-1_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031203084","9783031203091"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20309-1_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"8 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dalian","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wisa22022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conf.ccf.org.cn\/web\/html7\/index.html?globalId=m9475032704175349761645943983427&type=1","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"212","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"45","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}