{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:21:29Z","timestamp":1775913689894,"version":"3.50.1"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T00:00:00Z","timestamp":1661212800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T00:00:00Z","timestamp":1661212800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No.U20A20196"],"award-info":[{"award-number":["No.U20A20196"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Foundation of Zhejiang Province of China","award":["No. LR21F020002"],"award-info":[{"award-number":["No. LR21F020002"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s00530-022-00989-5","type":"journal-article","created":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T17:05:53Z","timestamp":1661274353000},"page":"235-246","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Meta-relationship for course recommendation in MOOCs"],"prefix":"10.1007","volume":"29","author":[{"given":"Pengyi","family":"Hao","sequence":"first","affiliation":[]},{"given":"Yali","family":"Li","sequence":"additional","affiliation":[]},{"given":"Cong","family":"Bai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,8,23]]},"reference":[{"key":"989_CR1","doi-asserted-by":"crossref","unstructured":"Yu, X., Ren, X., Sun, Y., Sturt, B., Khandelwal, U., Gu, Q., Norick, B., Han, J.: Recommendation in heterogeneous information networks with implicit user feedback. In: Proceedings of ACM RecSys, 347\u2013350 (2013)","DOI":"10.1145\/2507157.2507230"},{"issue":"12","key":"989_CR2","first-page":"2354","volume":"30","author":"X He","year":"2018","unstructured":"He, X., He, Z., Song, J., Liu, Z., Jiang, Y.-G., Chua, T.-S.: Nais: Neural attentive item similarity model for recommendation. IEEE Trans. KDE 30(12), 2354\u20132366 (2018)","journal-title":"IEEE Trans. KDE"},{"key":"989_CR3","doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.-S.: Neural collaborative filtering. In Proceeding of WWW, pp. 173\u2013182 (2017)","DOI":"10.1145\/3038912.3052569"},{"key":"989_CR4","doi-asserted-by":"crossref","unstructured":"Hu, Y., Koren, Y., Volinsky, C.: Collaborative filtering for implicit feedback datasets. In Proceeding of ICDM, 263\u2013272. IEEE (2008)","DOI":"10.1109\/ICDM.2008.22"},{"key":"989_CR5","doi-asserted-by":"crossref","unstructured":"Kabbur, S., Ning, X., Karypis, G.: Fism: factored item similarity models for top-n recommender systems. In Proceeding of ACM SIGKDD, pp. 659\u2013667 (2013)","DOI":"10.1145\/2487575.2487589"},{"issue":"7481","key":"989_CR6","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1038\/505026a","volume":"505","author":"C King","year":"2014","unstructured":"King, C., Robinson, A., Vickers, J.: Targeted mooc captivates students. Nature 505(7481), 26\u201326 (2014)","journal-title":"Nature"},{"key":"989_CR7","doi-asserted-by":"crossref","unstructured":"Luo, C., Pang, W., Wang, Z., Lin, C.: Hete-cf: Social-based collaborative filtering recommendation using heterogeneous relations. In: Proceeding of ICDM, 917\u2013922. IEEE (2014)","DOI":"10.1109\/ICDM.2014.64"},{"issue":"2","key":"989_CR8","first-page":"357","volume":"31","author":"C Shi","year":"2018","unstructured":"Shi, C., Hu, B., Zhao, W.X., Philip, S.Y.: Heterogeneous information network embedding for recommendation. IEEE Trans. KDE 31(2), 357\u2013370 (2018)","journal-title":"IEEE Trans. KDE"},{"issue":"10","key":"989_CR9","first-page":"2479","volume":"26","author":"C Shi","year":"2014","unstructured":"Shi, C., Kong, X., Huang, Y., Philip, S.Y., Wu, B.: Hetesim: a general framework for relevance measure in heterogeneous networks. IEEE Trans. KDE 26(10), 2479\u20132492 (2014)","journal-title":"IEEE Trans. KDE"},{"issue":"1","key":"989_CR10","first-page":"17","volume":"29","author":"C Shi","year":"2016","unstructured":"Shi, C., Li, Y., Zhang, J., Sun, Y., Philip, S.Y.: A survey of heterogeneous information network analysis. IEEE Trans. KDE 29(1), 17\u201337 (2016)","journal-title":"IEEE Trans. KDE"},{"issue":"3","key":"989_CR11","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1007\/s10115-016-0925-0","volume":"49","author":"C Shi","year":"2016","unstructured":"Shi, C., Liu, J., Zhuang, F., Philip, S.Y., Wu, B.: Integrating heterogeneous information via flexible regularization framework for recommendation. Knowl. Inf. Syst. 49(3), 835\u2013859 (2016)","journal-title":"Knowl. Inf. Syst."},{"key":"989_CR12","doi-asserted-by":"crossref","unstructured":"Sun, Y., Han, J., Yan, X., Yu, P.S., Wu, T.: Pathsim: Meta path-based top-k similarity search in heterogeneous information networks. In: Proceeding of VLDB 4(11), 992\u20131003 (2011)","DOI":"10.14778\/3402707.3402736"},{"key":"989_CR13","doi-asserted-by":"crossref","unstructured":"Wang, S., Chen, Z., Li, D., Li, Z., Tang, L.-A., Ni, J., Rhee, J., Chen, H., Yu, P.S.: Attentional heterogeneous graph neural network: application to program reidentification. In: Proceeding of SDM, 693\u2013701. SIAM (2019)","DOI":"10.1137\/1.9781611975673.78"},{"key":"989_CR14","doi-asserted-by":"crossref","unstructured":"Yu, J., Luo, G., Xiao, T., Zhong, Q., Wang, Y., Feng, W., Luo, J., Wang, C., Hou, L., Li, j. et\u00a0al.: Mooccube: a large-scale data repository for nlp applications in moocs. In: Proceeding of ACL, 3135\u20133142 (2020)","DOI":"10.18653\/v1\/2020.acl-main.285"},{"key":"989_CR15","unstructured":"Yu, X., Ren, X., Gu, Q., Sun, Y., Han, J.: Collaborative filtering with entity similarity regularization in heterogeneous information networks. In Proceeding of IJCAI HINA, 27 (2013)"},{"key":"989_CR16","doi-asserted-by":"crossref","unstructured":"Zhao, H., Yao, Q., Li, J., Song, Y., Lee, D.L.: Meta-graph based recommendation fusion over heterogeneous information networks. In: Proceeding of KDD, 635\u2013644 (2017)","DOI":"10.1145\/3097983.3098063"},{"key":"989_CR17","doi-asserted-by":"crossref","unstructured":"Jonathan Herlocker, L., Joseph Konstan, A., Al\u00a0Borchers, and John Riedl.: An algorithmic framework for performing collaborative filtering. In: Proceeding of ACM SIGIR on Research and development in information retrieval, pp. 230\u2013237 (1999)","DOI":"10.1145\/312624.312682"},{"key":"989_CR18","doi-asserted-by":"crossref","unstructured":"Paul, R., Neophytos, I., Mitesh, S., Peter, B., John, R.: Grouplens: an open architecture for collaborative filtering of netnews. In: Proceeding of ACM CSCW, pp. 175\u2013186 (1994)","DOI":"10.1145\/192844.192905"},{"key":"989_CR19","doi-asserted-by":"crossref","unstructured":"Gong, J., Wang, S., Wang, J., Feng, W., Peng, H., Tang, J., Yu, P.S.: Attentional graph convolutional networks for knowledge concept recommendation in moocs in a heterogeneous view. In: Proceeding of ACM SIGIR, pp. 79\u201388 (2020)","DOI":"10.1145\/3397271.3401057"},{"key":"989_CR20","unstructured":"Nguyen, T.-N., Lucas, D., Tom\u00e1\u0161, H., Lars, S.-T. et\u00a0al.: Multi-relational factorization models for predicting student performance. In: KDD Workshop on Knowledge Discovery in Educational Data (KDDinED), pp. 27\u201340. Citeseer (2011)"},{"key":"989_CR21","doi-asserted-by":"crossref","unstructured":"Asmaa Elbadrawy, George Karypis. Domain-aware grade prediction and top-n course recommendation. In Proceeding of ACM RecSys, 183\u2013190, (2016)","DOI":"10.1145\/2959100.2959133"},{"key":"989_CR22","doi-asserted-by":"crossref","unstructured":"Yifan, C., Xiang, Z., Junjiao, G., Junkai, R., Yanli, H.: Content-based top-n recommendation using heterogeneous relations. In: Australasian Database Conference, 308\u2013320. Springer (2016)","DOI":"10.1007\/978-3-319-46922-5_24"},{"key":"989_CR23","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.neucom.2020.07.064","volume":"415","author":"Y Zhu","year":"2020","unstructured":"Zhu, Y., Hao, L., Qiu, P., Shi, K., Chambua, J., Niu, Z.: Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization. Neurocomputing 415, 84\u201395 (2020)","journal-title":"Neurocomputing"},{"issue":"3","key":"989_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3314578","volume":"37","author":"F Xue","year":"2019","unstructured":"Xue, F., He, X., Wang, X., Jiandong, X., Liu, K., Hong, R.: Deep item-based collaborative filtering for top-n recommendation. ACM Trans Inf. Syst. (TOIS) 37(3), 1\u201325 (2019)","journal-title":"ACM Trans Inf. Syst. (TOIS)"},{"key":"989_CR25","unstructured":"Guangyuan, P.: Recommending knowledge concepts on mooc platforms with meta-path-based representation learning. International Educational Data Mining Society (2021)"},{"key":"989_CR26","unstructured":"Petar, V., William, F., William,\u00a0L.H., Pietro, L., Yoshua, B., Devon, R.H.: Deep graph infomax. In: Proceeding of ICLR 2(3):4 (2019)"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-022-00989-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-022-00989-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-022-00989-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T10:46:06Z","timestamp":1727865966000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-022-00989-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,23]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["989"],"URL":"https:\/\/doi.org\/10.1007\/s00530-022-00989-5","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,23]]},"assertion":[{"value":"23 June 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 August 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}