{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:32:07Z","timestamp":1742923927048,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819972531"},{"type":"electronic","value":"9789819972548"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-981-99-7254-8_45","type":"book-chapter","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T05:01:47Z","timestamp":1697864507000},"page":"579-593","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Informative Anchor-Enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-Based Recommendation"],"prefix":"10.1007","author":[{"given":"Ronghua","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luyao","family":"Teng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feiyi","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengzhe","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengjie","family":"Mao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"issue":"4","key":"45_CR1","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1119\/1.1538577","volume":"71","author":"AL Barab\u00e1si","year":"2003","unstructured":"Barab\u00e1si, A.L.: Linked: the new science of networks. Am. J. Phys. 71(4), 409\u2013410 (2003)","journal-title":"Am. J. Phys."},{"doi-asserted-by":"crossref","unstructured":"Chen, T., Wong, R.C.W.: Handling information loss of graph neural networks for session-based recommendation. In: Proceedings of the 26th ACM International Conference on Knowledge Discovery & Data Mining (SIGKDD), pp. 1172\u20131180. KDD 2020, Association for Computing Machinery, New York, USA (2020)","key":"45_CR2","DOI":"10.1145\/3394486.3403170"},{"doi-asserted-by":"crossref","unstructured":"Domingos, P., Richardson, M.: Mining the network value of customers. In: Proceedings of the 7th ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 57\u201366. KDD 2001, Association for Computing Machinery, New York, USA (2001)","key":"45_CR3","DOI":"10.1145\/502512.502525"},{"doi-asserted-by":"crossref","unstructured":"Forsati, R., Meybodi, M., Neiat, A.G.: Web page personalization based on weighted association rules. In: Proceedings of the International Conference on Electronic Computer Technology, pp. 130\u2013135 (2009)","key":"45_CR4","DOI":"10.1109\/ICECT.2009.104"},{"unstructured":"Hidasi, B., Karatzoglou, A., Baltrunas, L., Tikk, D.: Session-based recommendations with recurrent neural networks. In: Proceedings of the 4th International Conference on Learning Representations (ICLR), Conference Track Proceedings. San Juan, Puerto Rico (2016)","key":"45_CR5"},{"doi-asserted-by":"crossref","unstructured":"Jannach, D., Ludewig, M.: When recurrent neural networks meet the neighborhood for session-based recommendation. In: Proceedings of the 11th ACM Conference on Recommender Systems (RecSys), pp. 306\u2013310. RecSys 2017, Association for Computing Machinery, New York, USA (2017)","key":"45_CR6","DOI":"10.1145\/3109859.3109872"},{"doi-asserted-by":"crossref","unstructured":"Jomsri, P.: Book recommendation system for digital library based on user profiles by using association rule. In: Proceedings of the 4th edition of the International Conference on the Innovative Computing Technology (INTECH), pp. 130\u2013134 (2014)","key":"45_CR7","DOI":"10.1109\/INTECH.2014.6927766"},{"issue":"5","key":"45_CR8","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1145\/324133.324140","volume":"46","author":"JM Kleinberg","year":"1999","unstructured":"Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. J. ACM 46(5), 604\u2013632 (1999)","journal-title":"J. ACM"},{"doi-asserted-by":"crossref","unstructured":"Latifi, S., Jannach, D.: Streaming session-based recommendation: when graph neural networks meet the neighborhood. In: Proceedings of the 16th ACM Conference on Recommender Systems (RecSys), pp. 420\u2013426. RecSys 2022, Association for Computing Machinery, New York, USA (2022)","key":"45_CR9","DOI":"10.1145\/3523227.3548485"},{"doi-asserted-by":"crossref","unstructured":"Li, J., Ren, P., Chen, Z., Ren, Z., Lian, T., Ma, J.: Neural attentive session-based recommendation. In: Proceedings of the ACM on Conference on Information and Knowledge Management (CIKM), pp. 1419\u20131428. CIKM 2017, Association for Computing Machinery, New York, USA (2017)","key":"45_CR10","DOI":"10.1145\/3132847.3132926"},{"unstructured":"Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: bringing order to the web. Technical report, Stanford InfoLab (1999)","key":"45_CR11"},{"doi-asserted-by":"crossref","unstructured":"Pang, Y., et al.: Heterogeneous global graph neural networks for personalized session-based recommendation. In: Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM), pp. 775\u2013783. WSDM 2022, Association for Computing Machinery, New York, USA (2022)","key":"45_CR12","DOI":"10.1145\/3488560.3498505"},{"doi-asserted-by":"crossref","unstructured":"Quadrana, M., Karatzoglou, A., Hidasi, B., Cremonesi, P.: Personalizing session-based recommendations with hierarchical recurrent neural networks. In: Proceedings of the 11th ACM Conference on Recommender Systems (RecSys), pp. 130\u2013137. RecSys 2017, Association for Computing Machinery, New York, USA (2017)","key":"45_CR13","DOI":"10.1145\/3109859.3109896"},{"doi-asserted-by":"crossref","unstructured":"Rendle, S., Freudenthaler, C., Schmidt-Thieme, L.: Factorizing personalized markov chains for next-basket recommendation. In: Proceedings of the 19th International Conference on World Wide Web (WWW), pp. 811\u2013820. WWW 2010, Association for Computing Machinery, New York, USA (2010)","key":"45_CR14","DOI":"10.1145\/1772690.1772773"},{"doi-asserted-by":"crossref","unstructured":"Sarwar, B.M., Karypis, G., Konstan, J.A., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web (WWW), pp. 285\u2013295. ACM, Hong Kong, China (2001)","key":"45_CR15","DOI":"10.1145\/371920.372071"},{"doi-asserted-by":"crossref","unstructured":"Tang, J., Wang, K.: Personalized Top-N sequential recommendation via convolutional sequence embedding. In: Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), pp. 565\u2013573. WSDM 2018, Association for Computing Machinery, New York, USA (2018)","key":"45_CR16","DOI":"10.1145\/3159652.3159656"},{"key":"45_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1007\/978-3-030-62008-0_20","volume-title":"Web Information Systems Engineering \u2013 WISE 2020","author":"N Wang","year":"2020","unstructured":"Wang, N., Wang, S., Wang, Y., Sheng, Q.Z., Orgun, M.: Modelling local and global dependencies for next-item recommendations. In: Huang, Z., Beek, W., Wang, H., Zhou, R., Zhang, Y. (eds.) WISE 2020. LNCS, vol. 12343, pp. 285\u2013300. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-62008-0_20"},{"doi-asserted-by":"crossref","unstructured":"Wang, Z., Wei, W., Cong, G., Li, X.L., Mao, X.L., Qiu, M.: Global context enhanced graph neural networks for session-based recommendation. In: Proceedings of the 43rd International ACM Conference on Research and Development in Information Retrieval (SIGIR), pp. 169\u2013178. SIGIR 2020, Association for Computing Machinery, New York, USA (2020)","key":"45_CR18","DOI":"10.1145\/3397271.3401142"},{"doi-asserted-by":"crossref","unstructured":"Wu, S., Tang, Y., Zhu, Y., Wang, L., Xie, X., Tan, T.: Session-based recommendation with graph neural networks. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence, vol. 33, pp. 346\u2013353 (2019)","key":"45_CR19","DOI":"10.1609\/aaai.v33i01.3301346"},{"doi-asserted-by":"crossref","unstructured":"Xu, C., et al.: Recurrent convolutional neural network for sequential recommendation. In: Proceedings of the 28th International Conference on World Wide Web (WWW), pp. 3398\u20133404. WWW 2019, Association for Computing Machinery, New York, USA (2019)","key":"45_CR20","DOI":"10.1145\/3308558.3313408"},{"issue":"8","key":"45_CR21","doi-asserted-by":"publisher","first-page":"3946","DOI":"10.1109\/TKDE.2020.3031329","volume":"34","author":"M Zhang","year":"2022","unstructured":"Zhang, M., Wu, S., Gao, M., Jiang, X., Xu, K., Wang, L.: Personalized graph neural networks with attention mechanism for session-aware recommendation. IEEE Trans. Knowl. Data Eng. 34(8), 3946\u20133957 (2022)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"doi-asserted-by":"crossref","unstructured":"Zhang, Z., Nasraoui, O.: Efficient hybrid web recommendations based on Markov clickstream models and implicit search. In: Proceedings of the IEEE\/WIC\/ACM International Conference on Web Intelligence (WI), pp. 621\u2013627 (2007)","key":"45_CR22","DOI":"10.1109\/WI.2007.4427162"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems Engineering \u2013 WISE 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-7254-8_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T05:09:47Z","timestamp":1697864987000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-7254-8_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819972531","9789819972548"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-7254-8_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"21 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Melbourne, VIC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wise2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.wise-conferences.org\/2023\/","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":"137","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":"33","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":"40","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":"24% - 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":"4","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)"}}]}}