{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T22:19:15Z","timestamp":1743027555362,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031322983"},{"type":"electronic","value":"9783031322990"}],"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\/978-3-031-32299-0_21","type":"book-chapter","created":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T09:03:00Z","timestamp":1683536580000},"page":"242-252","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Method for Recommending Resources Across Virtual Academic Communities Based on Knowledge Graph and Prompt Learning"],"prefix":"10.1007","author":[{"given":"Zhihao","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shilun","family":"Ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nianxin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,7]]},"reference":[{"unstructured":"Xiaoli, W., Jing, Z., Shuqin, C.: The evolution and its internal knowledge flow in virtual academic community knowledge ecosystem. Inf. Stud.: Theory Appl. 45(12), 156\u2013163 (2022). (in Chinese)","key":"21_CR1"},{"unstructured":"Social, W.A., DataReportal, and Hootsuite: Number of internet and social media users worldwide as of July 2022 (in billions) (2022). https:\/\/www.statista.com\/statistics\/617136\/digital-population-worldwide\/","key":"21_CR2"},{"key":"21_CR3","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.dss.2016.06.017","volume":"90","author":"CC Chen","year":"2016","unstructured":"Chen, C.C., Shih, S.-Y., Lee, M.: Who should you follow? Combining learning to rank with social influence for informative friend recommendation. Decis. Support Syst. 90, 33\u201345 (2016)","journal-title":"Decis. Support Syst."},{"issue":"04","key":"21_CR4","first-page":"109","volume":"4","author":"T Xing","year":"2020","unstructured":"Xing, T., et al.: Automatic summarization of user-generated content in academic Q&A community based on Word2Vec and MMR. Data Anal. Knowl. Discov. 4(04), 109\u2013118 (2020). (in Chinese)","journal-title":"Data Anal. Knowl. Discov."},{"unstructured":"Lianfeng, Z., Hui, L., Yunhe, T.: Knowledge aggregation model based on virtual academic community. Inf. Sci. 37(06), 55\u201360+74 (2019). (in Chinese)","key":"21_CR5"},{"unstructured":"Huixiang, X., Zirong, Y., Wuxuan, J.: Semantic correlation of multimodal data in the construction of cross-media knowledge graph. Inf. Stud.: Theory Appl. 42(02), 13\u201318+24 (2019). (in Chinese)","key":"21_CR6"},{"key":"21_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.dss.2019.01.004","volume":"119","author":"Y Xu","year":"2019","unstructured":"Xu, Y., Zhou, D., Ma, J.: Scholar-friend recommendation in online academic communities: an approach based on heterogeneous network. Decis. Support Syst. 119, 1\u201313 (2019)","journal-title":"Decis. Support Syst."},{"issue":"4","key":"21_CR8","first-page":"372","volume":"5","author":"L Qian","year":"2021","unstructured":"Qian, L., Deng, S.: An empirical study on knowledge aggregation in academic virtual community based on deep learning. Data Inf. Manag. 5(4), 372\u2013388 (2021)","journal-title":"Data Inf. Manag."},{"unstructured":"Ziming, Z., Hong, Z.: A study of reputation-based collaborative filtering recommendation techniques in knowledge network communities. Inf. Stud.: Theory Appl. 38(05), 116\u2013120 (2015). (in Chinese)","key":"21_CR9"},{"key":"21_CR10","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.artmed.2017.04.001","volume":"77","author":"T Yu","year":"2017","unstructured":"Yu, T., et al.: Knowledge graph for TCM health preservation: design, construction, and applications. Artif. Intell. Med. 77, 48\u201352 (2017)","journal-title":"Artif. Intell. Med."},{"issue":"12","key":"21_CR11","doi-asserted-by":"publisher","first-page":"157","DOI":"10.4236\/jcc.2018.612016","volume":"6","author":"I Ahmed","year":"2018","unstructured":"Ahmed, I., Kalhoro, Z.A.: Knowledge driven paper recommendation using heterogeneous network embedding method. J. Comput. Commun. 6(12), 157 (2018)","journal-title":"J. Comput. Commun."},{"doi-asserted-by":"crossref","unstructured":"Heng, L., et al.: Research on deep aggregation framework of academic resources in online community based on knowledge graph. Inf. Stud.: Theory Appl. 44(01), 180\u2013187 (2021). (in Chinese)","key":"21_CR12","DOI":"10.17762\/converter.30"},{"unstructured":"Haiyan, Z., et al.: Graph attention network based participant recommendation for issue resolution in open source community. Appl. Res. Comput. 39(08), 2352\u20132356+2380 (2022)","key":"21_CR13"},{"doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: Deepwalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2014)","key":"21_CR14","DOI":"10.1145\/2623330.2623732"},{"doi-asserted-by":"crossref","unstructured":"Dong, Y., Chawla, N.V., Swami, A.: metapath2vec: scalable representation learning for heterogeneous networks. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2017)","key":"21_CR15","DOI":"10.1145\/3097983.3098036"},{"unstructured":"Yao, L., Mao, C., Luo, Y.: KG-BERT: BERT for knowledge graph completion. arXiv preprint arXiv:1909.03193 (2019)","key":"21_CR16"},{"unstructured":"Devlin, J., et al.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)","key":"21_CR17"},{"unstructured":"Liu, X., et al.: GPT understands, too. arXiv preprint arXiv:2103.10385 (2021)","key":"21_CR18"}],"container-title":["Lecture Notes in Business Information Processing","E-Business. Digital Empowerment for an Intelligent Future"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-32299-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T11:34:02Z","timestamp":1710329642000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-32299-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031322983","9783031322990"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-32299-0_21","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"7 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WHICEB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan International Conference on E-business","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 May 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"whiceb2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/whiceb.cug.edu.cn\/en\/","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":"350","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":"61","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":"0","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":"17% - 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)"}}]}}