{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T23:35:11Z","timestamp":1776814511955,"version":"3.51.2"},"reference-count":40,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2021,8,1]]},"DOI":"10.1587\/transinf.2020bdp0008","type":"journal-article","created":{"date-parts":[[2021,7,31]],"date-time":"2021-07-31T22:14:23Z","timestamp":1627769663000},"page":"1222-1231","source":"Crossref","is-referenced-by-count":11,"title":["A Hybrid Approach for Paper Recommendation"],"prefix":"10.1587","volume":"E104.D","author":[{"given":"Ying","family":"KANG","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Northwest University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aiqin","family":"HOU","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zimin","family":"ZHAO","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daguang","family":"GAN","sequence":"additional","affiliation":[{"name":"Wanfang Data Co."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] S.M. McNee, I. Albert, D. Cosley, P. Gopalkrishnan, S.K. Lam, A.M. Rashid, J.A. Konstan, and J. Riedl, \u201cOn the recommending of citations for research papers,\u201d Proceedings of the 2002 ACM conference on Computer supported cooperative work, pp.116-125, 2002. 10.1145\/587078.587096","DOI":"10.1145\/587078.587096"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] J. Bobadilla, F. Ortega, A. Hernando, and A. Guti\u00e9rrez, \u201cRecommender systems survey,\u201d Knowledge-based systems, vol.46, pp.109-132, 2013. 10.1016\/j.knosys.2013.03.012","DOI":"10.1016\/j.knosys.2013.03.012"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] X. Dong, L. Yu, Z. Wu, Y. Sun, L. Yuan, and F. Zhang, \u201cA hybrid collaborative filtering model with deep structure for recommender systems,\u201d Thirty-First AAAI Conference on Artificial Intelligence, 2017.","DOI":"10.1609\/aaai.v31i1.10747"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] K. Sugiyama and M.-Y. Kan, \u201cScholarly paper recommendation via user&apos;s recent research interests,\u201d Proceedings of the 10th annual joint conference on Digital libraries, pp.29-38, 2010. 10.1145\/1816123.1816129","DOI":"10.1145\/1816123.1816129"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] K.W. Boyack and R. Klavans, \u201cCo-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?,\u201d Journal of the American Society for information Science and Technology, vol.61, no.12, pp.2389-2404, 2010. 10.1002\/asi.21419","DOI":"10.1002\/asi.21419"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] M.M. Kessler, \u201cBibliographic coupling between scientific papers,\u201d American documentation, vol.14, no.1, pp.10-25, 1963. 10.1002\/asi.5090140103","DOI":"10.1002\/asi.5090140103"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] X.Y. Liu and B.-C. Chien, \u201cApplying citation network analysis on recommendation of research paper collection,\u201d Proceedings of the 4th multidisciplinary international social networks conference, pp.1-6, 2017. 10.1145\/3092090.3092138","DOI":"10.1145\/3092090.3092138"},{"key":"8","unstructured":"[8] H. Voos and K.S. Dagaev, \u201cAre all citations equal? or, did we op. cit. your idem?,\u201d Journal of Academic Librarianship, vol.1, no.6, pp.19-21, 1976."},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] C.L. Giles, K.D. Bollacker, and S. Lawrence, \u201cCiteseer: An automatic citation indexing system,\u201d Proceedings of the third ACM conference on Digital libraries, pp.89-98, 1998. 10.1145\/276675.276685","DOI":"10.1145\/276675.276685"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] J. Xia, J. Wright, and C.E. Adams, \u201cFive large chinese biomedical bibliographic databases: accessibility and coverage,\u201d Health Information &amp; Libraries Journal, vol.25, no.1, pp.55-61, 2008. 10.1111\/j.1471-1842.2007.00734.x","DOI":"10.1111\/j.1471-1842.2007.00734.x"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] R. Habib and M.T. Afzal, \u201cSections-based bibliographic coupling for research paper recommendation,\u201d Scientometrics, vol.119, no.2, pp.643-656, 2019. 10.1007\/s11192-019-03053-8","DOI":"10.1007\/s11192-019-03053-8"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] K. Sugiyama and M.-Y. Kan, \u201cExploiting potential citation papers in scholarly paper recommendation,\u201d Proceedings of the 13th ACM\/IEEE-CS joint conference on Digital libraries, pp.153-162, 2013. 10.1145\/2467696.2467701","DOI":"10.1145\/2467696.2467701"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] W. Tanner, E. Akbas, and M. Hasan, \u201cPaper recommendation based on citation relation,\u201d 2019 IEEE International Conference on Big Data (Big Data), pp.3053-3059, IEEE, 2019. 10.1109\/bigdata47090.2019.9006200","DOI":"10.1109\/BigData47090.2019.9006200"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] D. Hu, H. Ma, Y. Liu, and X. He, \u201cScientific paper recommendation using author&apos;s dual role citation relationship,\u201d International Conference on Intelligent Information Processing, vol.581, pp.121-132, Springer, 2020. 10.1007\/978-3-030-46931-3_12","DOI":"10.1007\/978-3-030-46931-3_12"},{"key":"15","unstructured":"[15] O. K\u00fc\u00e7\u00fcktun\u00e7, E. Saule, K. Kaya, and \u00dc.V. \u00c7ataly\u00fcrek, \u201cRecommendation on academic networks using direction aware citation analysis,\u201d arXiv preprint arXiv:1205.1143, 2012."},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] H. Small, \u201cCo-citation in the scientific literature: A new measure of the relationship between two documents,\u201d Journal of the American Society for information Science, vol.24, no.4, pp.265-269, 1973. 10.1002\/asi.4630240406","DOI":"10.1002\/asi.4630240406"},{"key":"17","unstructured":"[17] B. Gipp and J. Beel, \u201cCitation proximity analysis (cpa): A new approach for identifying related work based on co-citation analysis,\u201d ISSI&apos;09: 12th International Conference on Scientometrics and Informetrics, pp.571-575, 2009."},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] A.Y. Khan, A.S. KHATTAK, and M.T. Afzal, \u201cExtending co-citation using sections of research articles,\u201d Turkish Journal of Electrical Engineering &amp; Computer Sciences, vol.26, no.6, pp.3345-3355, 2018. 10.3906\/elk-1703-260","DOI":"10.3906\/elk-1703-260"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] A.M. Khan, A. Shahid, M.T. Afzal, F. Nazar, F.S. Alotaibi, and K.H. Alyoubi, \u201cSwics: Section-wise in-text citation score,\u201d IEEE Access, vol.7, pp.137090-137102, 2019. 10.1109\/access.2019.2942322","DOI":"10.1109\/ACCESS.2019.2942322"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] G. Adomavicius and A. Tuzhilin, \u201cToward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions,\u201d IEEE transactions on knowledge and data engineering, vol.17, no.6, pp.734-749, 2005. 10.1109\/tkde.2005.99","DOI":"10.1109\/TKDE.2005.99"},{"key":"21","unstructured":"[21] J. Choi, S. Jang, J. Kim, J. Lee, J. Yoona, and S. Choi, \u201cDeep learning-based citation recommendation system for patents,\u201d arXiv preprint arXiv:2010.10932, 2020."},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] Y. Zhang and Q. Ma, \u201cDual attention model for citation recommendation,\u201d arXiv preprint arXiv:2010.00182, 2020.","DOI":"10.18653\/v1\/2020.coling-main.283"},{"key":"23","doi-asserted-by":"publisher","unstructured":"[23] Z. Ali, P. Kefalas, K. Muhammad, B. Ali, and M. Imran, \u201cDeep learning in citation recommendation models survey,\u201d Expert Systems with Applications, vol.162, p.113790, 2020. 10.1016\/j.eswa.2020.113790","DOI":"10.1016\/j.eswa.2020.113790"},{"key":"24","doi-asserted-by":"publisher","unstructured":"[24] D.R. Radev, P. Muthukrishnan, V. Qazvinian, and A. Abu-Jbara, \u201cThe acl anthology network corpus,\u201d Language Resources and Evaluation, vol.47, no.4, pp.919-944, 2013. 10.1007\/s10579-012-9211-2","DOI":"10.1007\/s10579-012-9211-2"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] L. Pan, X. Dai, S. Huang, and J. Chen, \u201cAcademic paper recommendation based on heterogeneous graph,\u201d Chinese computational linguistics and natural language processing based on naturally annotated big data, vol.9427, pp.381-392, Springer, 2015. 10.1007\/978-3-319-25816-4_31","DOI":"10.1007\/978-3-319-25816-4_31"},{"key":"26","doi-asserted-by":"publisher","unstructured":"[26] X. Ma and R. Wang, \u201cPersonalized scientific paper recommendation based on heterogeneous graph representation,\u201d IEEE Access, vol.7, pp.79887-79894, 2019. 10.1109\/access.2019.2923293","DOI":"10.1109\/ACCESS.2019.2923293"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] Z. Huang, W. Chung, T.-H. Ong, and H. Chen, \u201cA graph-based recommender system for digital library,\u201d Proceedings of the 2nd ACM\/IEEE-CS joint conference on Digital libraries, pp.65-73, 2002. 10.1145\/544220.544231","DOI":"10.1145\/544220.544231"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] M. Amami, G. Pasi, F. Stella, and R. Faiz, \u201cAn lda-based approach to scientific paper recommendation,\u201d International conference on applications of natural language to information systems, vol.9612, pp.200-210, Springer, 2016. 10.1007\/978-3-319-41754-7_17","DOI":"10.1007\/978-3-319-41754-7_17"},{"key":"29","doi-asserted-by":"publisher","unstructured":"[29] X. Bai, M. Wang, I. Lee, Z. Yang, X. Kong, and F. Xia, \u201cScientific paper recommendation: A survey,\u201d IEEE Access, vol.7, pp.9324-9339, 2019. 10.1109\/access.2018.2890388","DOI":"10.1109\/ACCESS.2018.2890388"},{"key":"30","doi-asserted-by":"publisher","unstructured":"[30] M. Balabanovi\u0107 and Y. Shoham, \u201cFab: content-based, collaborative recommendation,\u201d Communications of the ACM, vol.40, no.3, pp.66-72, 1997. 10.1145\/245108.245124","DOI":"10.1145\/245108.245124"},{"key":"31","unstructured":"[31] C. Basu, H. Hirsh, W. Cohen, et al., \u201cRecommendation as classification: Using social and content-based information in recommendation,\u201d Aaai\/iaai, pp.714-720, 1998."},{"key":"32","unstructured":"[32] I. Soboroff and C. Nicholas, \u201cCombining content and collaboration in text filtering,\u201d Proceedings of the IJCAI, pp.86-91, sn, 1999."},{"key":"33","unstructured":"[33] G. Nandi and A. Das, \u201cA survey on using data mining techniques for online social network analysis,\u201d International Journal of Computer Science Issues (IJCSI), vol.10, no.6, p.162, 2013."},{"key":"34","doi-asserted-by":"crossref","unstructured":"[34] H. Wang, N. Wang, and D.-Y. Yeung, \u201cCollaborative deep learning for recommender systems,\u201d Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, pp.1235-1244, 2015. 10.1145\/2783258.2783273","DOI":"10.1145\/2783258.2783273"},{"key":"35","doi-asserted-by":"crossref","unstructured":"[35] A. Kanakia, Z. Shen, D. Eide, and K. Wang, \u201cA scalable hybrid research paper recommender system for microsoft academic,\u201d The World Wide Web Conference, pp.2893-2899, 2019. 10.1145\/3308558.3313700","DOI":"10.1145\/3308558.3313700"},{"key":"36","doi-asserted-by":"publisher","unstructured":"[36] W. Wang, T. Tang, F. Xia, Z. Gong, Z. Chen, and H. Liu, \u201cCollaborative filtering with network representation learning for citation recommendation,\u201d IEEE Transactions on Big Data, 2020. 10.1109\/tbdata.2020.3034976","DOI":"10.1109\/TBDATA.2020.3034976"},{"key":"37","doi-asserted-by":"crossref","unstructured":"[37] A. Constantin, S. Pettifer, and A. Voronkov, \u201cPdfx: fully-automated pdf-to-xml conversion of scientific literature,\u201d Proceedings of the 2013 ACM symposium on Document engineering, pp.177-180, 2013. 10.1145\/2494266.2494271","DOI":"10.1145\/2494266.2494271"},{"key":"38","unstructured":"[38] T. Hengl and M. Gould, \u201cRules of thumb for writing research articles,\u201d Enschede, Sept. 2002."},{"key":"39","doi-asserted-by":"crossref","unstructured":"[39] S. Teufel, A. Siddharthan, and D. Tidhar, \u201cAutomatic classification of citation function,\u201d Proceedings of the 2006 conference on empirical methods in natural language processing, pp.103-110, 2006. 10.3115\/1610075.1610091","DOI":"10.3115\/1610075.1610091"},{"key":"40","doi-asserted-by":"publisher","unstructured":"[40] C. Spearman, \u201cThe proof and measurement of association between two things,\u201d The American journal of psychology, vol.100, no.3\/4, pp.441-471, 1987. 10.2307\/1422689","DOI":"10.2307\/1422689"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E104.D\/8\/E104.D_2020BDP0008\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T01:36:09Z","timestamp":1672968969000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E104.D\/8\/E104.D_2020BDP0008\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,1]]},"references-count":40,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2021]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2020bdp0008","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,1]]},"article-number":"2020BDP0008"}}