{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:33:37Z","timestamp":1753601617529,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031109829"},{"type":"electronic","value":"9783031109836"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-10983-6_34","type":"book-chapter","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T23:03:02Z","timestamp":1658185382000},"page":"437-449","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["KEAN: Knowledge-Enhanced and Attention Network for News Recommendation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3690-3709","authenticated-orcid":false,"given":"Yuting","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0239-8708","authenticated-orcid":false,"given":"Qian","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,19]]},"reference":[{"key":"34_CR1","doi-asserted-by":"crossref","unstructured":"Okura, S., Tagami, Y., Ono, S., Tajima, A.: Embedding-based news recommendation for millions of users, pp.\u00a01933\u20131942. ACM (2017)","DOI":"10.1145\/3097983.3098108"},{"key":"34_CR2","doi-asserted-by":"crossref","unstructured":"Bansal, T., Das, M., Bhattacharyya, C.: Content driven user profiling for comment-worthy recommendations of news and blog articles, pp. 195\u2013202. ACM (2015)","DOI":"10.1145\/2792838.2800186"},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Liu, D., et al.: KRED: knowledge-aware document representation for news recommendations, pp. 200\u2013209. ACM (2020)","DOI":"10.1145\/3383313.3412237"},{"key":"34_CR4","doi-asserted-by":"crossref","unstructured":"Wang, H., Zhang, F., Zhang, M., Li, W., Wang, Z.: Knowledge-aware graph neural networks with label smoothness regularization for recommender systems, pp. 968\u2013977. ACM (2019)","DOI":"10.1145\/3292500.3330836"},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"Wang, H., Zhang, F., Xie, X., Guo, M.: DKN: deep knowledge-aware network for news recommendation. In: 2018\u00a0World Wide Web Conference, pp.\u00a01835\u20131844 (2018)","DOI":"10.1145\/3178876.3186175"},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: EMNLP (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"34_CR7","unstructured":"Niepert, M., Ahmed, M., Kutzkov, K.: Learning convolutional neural networks for graphs.\u00a0In: The International Conference on Machine Learning, pp.\u00a02014\u20132023 (2016)"},{"key":"34_CR8","unstructured":"Duvenaud, D.K., et al.: Convolutional networks on graphs for learning molecular fingerprints.\u00a0In: Neural Information Processing Systems, pp. 2224\u20132232 (2015)"},{"key":"34_CR9","unstructured":"Hamilton, W., Ying, Z., Leskovec, J.: Inductive representation learning on large graphs. In:\u00a0Neural Information Processing Systems, pp. 1024\u20131034 (2017)"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Wang, X., He, X., Cao, Y., Chua, T.-S.: KGAT: knowledge graph attention network for recommendation, pp. 950\u2013958. ACM (2019)","DOI":"10.1145\/3292500.3330989"},{"key":"34_CR11","doi-asserted-by":"crossref","unstructured":"Zhu, Q., Zhou, X., Song, Z., et al.: DAN: deep attention neural network for news recommendation. In: AAAI (2019)","DOI":"10.1609\/aaai.v33i01.33015973"},{"key":"34_CR12","unstructured":"Mingxiao, An., et al.: Neural news recommendation with long- and short-term user representations. In: The Annual Meeting of the Association for Computational Linguistics (2019)"},{"key":"34_CR13","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data.\u00a0In: Advances in Neural Information Processing Systems,\u00a0pp. 2787\u20132795 (2013)"},{"key":"34_CR14","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhang, J., Feng, J., Chen, Z.: Knowledge graph embedding by translating on hyperplanes. In: AAAI, pp. 1112\u20131119 (2014)","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"34_CR15","doi-asserted-by":"crossref","unstructured":"Ji, G., He, S., Xu, L., Liu, K., Zhao, J.: Knowledge graph embedding via dynamic mapping matrix. In: ACL, pp. 687\u2013696 (2015)","DOI":"10.3115\/v1\/P15-1067"},{"key":"34_CR16","doi-asserted-by":"crossref","unstructured":"Lin, Y., Liu, Z., Sun, M., Liu, Y., Zhu, X.: Learning entity and relation embeddings for knowledge graph completion. In: AAAI (2015)","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"34_CR17","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization (2014)"},{"key":"34_CR18","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Empirical Methods in Natural Language Processing, pp. 1746\u20131751 (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"34_CR19","doi-asserted-by":"crossref","unstructured":"Wang, J, Wang, Z, Zhang, D, et al.: Combining knowledge with deep convolutional neural networks for short text classification. In: AAAI (2017)","DOI":"10.24963\/ijcai.2017\/406"},{"key":"34_CR20","doi-asserted-by":"crossref","unstructured":"Xue, H.J., Dai, X., Zhang, J., et al.: Deep matrix factorization models for recommender systems. In: AAAI (2017)","DOI":"10.24963\/ijcai.2017\/447"},{"key":"34_CR21","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.ins.2020.06.041","volume":"540","author":"X Guo","year":"2020","unstructured":"Guo, X., Lin, W., Li, Y.: DKEN: deep knowledge-enhanced network for recommender systems. Inform. Sci. 540, 263\u2013277 (2020)","journal-title":"Inform. Sci."},{"key":"34_CR22","doi-asserted-by":"crossref","unstructured":"Cheng, H.T., Koc, L., Harmsen, J., et al.: Wide & Deep Learning for Recommender Systems, pp. 7\u201310. ACM (2016)","DOI":"10.1145\/2988450.2988454"},{"key":"34_CR23","unstructured":"Steffen, R.: Factorization Machines with libFM. ACM (2012)"},{"key":"34_CR24","doi-asserted-by":"crossref","unstructured":"Ma, P., Gao, Q., Fan, J.: Context aware feature interaction based recommendation system. In: IRC, pp. 485\u2013489 (2020)","DOI":"10.1109\/IRC.2020.00092"},{"key":"34_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, C., Li, T., Gou, Y., Yang, M.: KEAN: knowledge embedded and attention-based network for POI recommendation. In: ICAICE (2020)","DOI":"10.1109\/ICAICA50127.2020.9182385"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10983-6_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T14:17:36Z","timestamp":1667312256000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10983-6_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031109829","9783031109836"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10983-6_34","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":"19 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","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":"6 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ksem22.smart-conf.net\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"498","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":"169","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":"34% - 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":"10","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)"}}]}}