Open Access

A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section

   | May 09, 2021

Cite

Ayala-Gomez, F., Daroczy, B., Benczur, A., Mathioudakis, M., & Gionis, A. (2018). Global citation recommendation using knowledge graphs. Journal of Intelligent and Fuzzy Systems, 34(5), 3089–3100. https://doi.org/10.3233/JIFS-169493. Ayala-GomezF. DaroczyB. BenczurA. MathioudakisM. GionisA. 2018 Global citation recommendation using knowledge graphs Journal of Intelligent and Fuzzy Systems 34 5 3089 3100 https://doi.org/10.3233/JIFS-169493 10.3233/JIFS-169493 Search in Google Scholar

Beel, J., & Dinesh, S. (2017). Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them. In Proceedings of the ECIR’17 workshop on bibliometric-enhanced information retrieval (pp. 6–17). BeelJ. DineshS. 2017 Real-World Recommender Systems for Academia: The Pain and Gain in Building, Operating, and Researching them In Proceedings of the ECIR’17 workshop on bibliometric-enhanced information retrieval 6 17 Search in Google Scholar

Beltagy, I., Lo, K., & Cohan, A. (2019). SciBERT: A pretrained language model for scientific text. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 3615–3620. BeltagyI. LoK. CohanA. 2019 SciBERT: A pretrained language model for scientific text In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) 3615 3620 10.18653/v1/D19-1371 Search in Google Scholar

Bethard, S., & Jurafsky, D. (2010). Who should I cite: Learning literature search models from citation behavior. In Proceedings of the 19th ACM international conference on information and knowledge management (CIKM’10) (pp. 609–618). ACM. BethardS. JurafskyD. 2010 Who should I cite: Learning literature search models from citation behavior In Proceedings of the 19th ACM international conference on information and knowledge management (CIKM’10) 609 618 ACM 10.1145/1871437.1871517 Search in Google Scholar

Bhagavatula, C., Feldman, S., Power, R., & Ammar, W. (2018). Content-based citation recommendation. arXiv preprint arXiv:1802.08301. BhagavatulaC. FeldmanS. PowerR. AmmarW. 2018 Content-based citation recommendation arXiv preprint arXiv:1802.08301. 10.18653/v1/N18-1022 Search in Google Scholar

Burges, C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 121–167. BurgesC. 1998 A tutorial on support vector machines for pattern recognition Data Mining and Knowledge Discovery 2 2 121 167 10.1023/A:1009715923555 Search in Google Scholar

Caragea, C., Silvescu, A., Mitra, P., & Giles, C.L. (2013). Can’t see the forest for the trees?: A citation recommendation system. In Proceedings of the 13th ACM/IEEE-CS joint conference on digital libraries (JCDL’13) (pp. 111–114). ACM. CarageaC. SilvescuA. MitraP. GilesC.L. 2013 Can’t see the forest for the trees?: A citation recommendation system In Proceedings of the 13th ACM/IEEE-CS joint conference on digital libraries (JCDL’13) 111 114 ACM 10.1145/2467696.2467743 Search in Google Scholar

Chakraborty, T., Modani, N., Narayanam, R., & Nagar, S. (2015). Discern: a diversified citation recommendation system for scientific queries. In Proceedings of the 31th international conference on data engineering (ICDE’15) (pp. 555–566). IEEE. ChakrabortyT. ModaniN. NarayanamR. NagarS. 2015 Discern: a diversified citation recommendation system for scientific queries In Proceedings of the 31th international conference on data engineering (ICDE’15) 555 566 IEEE 10.1109/ICDE.2015.7113314 Search in Google Scholar

Chen, C., Mayanglambam, S., Hsu, F., Lu, C., Lee, H., & Ho, J. (2012). Novelty paper recommendation using citation authority diffusion. In Proceedings of the international conference on technologies and applications of artificial intelligence (TAAI’11) (pp. 126–131). IEEE. ChenC. MayanglambamS. HsuF. LuC. LeeH. HoJ. 2012 Novelty paper recommendation using citation authority diffusion In Proceedings of the international conference on technologies and applications of artificial intelligence (TAAI’11) 126 131 IEEE 10.1109/TAAI.2011.29 Search in Google Scholar

Cheng, Q. (2015). Term Function Recognition of Academic Text. (Unpublished doctoral dissertation). Wuhan University, Wuhan, China. ChengQ. 2015 Term Function Recognition of Academic Text (Unpublished doctoral dissertation). Wuhan University Wuhan, China Search in Google Scholar

Ding, Y., Liu, X.Z., Guo, C., & Cronin, B. (2013). The distribution of references across texts: Some implications for citation analysis. Journal of Informetrics, 7(3), 583–592. DingY. LiuX.Z. GuoC. CroninB. 2013 The distribution of references across texts: Some implications for citation analysis Journal of Informetrics 7 3 583 592 10.1016/j.joi.2013.03.003 Search in Google Scholar

Duma, D., & Klein, E. (2014). Citation resolution: A method for evaluating context-based citation recommendation systems. In Proceedings of the 52th annual meeting of the association for computational linguistics (ACL’14) (Vol. 2, pp. 358–363). DumaD. KleinE. 2014 Citation resolution: A method for evaluating context-based citation recommendation systems In Proceedings of the 52th annual meeting of the association for computational linguistics (ACL’14) 2 358 363 10.3115/v1/P14-2059 Search in Google Scholar

Duma, D., Liakata, M., Clare, A., Ravenscroft, J., & Klein, E. (2016). Applying Core Scientific Concepts to Context-Based Citation Recommendation. In Proceedings of the 10th edition of the language resources and evaluation conference (LREC’16). DumaD. LiakataM. ClareA. RavenscroftJ. KleinE. 2016 Applying Core Scientific Concepts to Context-Based Citation Recommendation In Proceedings of the 10th edition of the language resources and evaluation conference (LREC’16) Search in Google Scholar

Duma, D., Liakata, M., Clare, A., Ravenscroft, J., & Klein, E. (2016). Rhetorical Classification of Anchor Text for Citation Recommendation. D-Lib Magazine, 22(9/10). DumaD. LiakataM. ClareA. RavenscroftJ. KleinE. 2016 Rhetorical Classification of Anchor Text for Citation Recommendation D-Lib Magazine 22 9/10 10.1045/september2016-duma Search in Google Scholar

Duma, D. (2019). Contextual citation recommendation using scientific discourse annotation schemes (Doctoral dissertation). United Kingdom, Edinburgh: The University of Edinburgh. DumaD. 2019 Contextual citation recommendation using scientific discourse annotation schemes (Doctoral dissertation) United Kingdom, Edinburgh The University of Edinburgh Search in Google Scholar

Ebesu, T., & Fang, Y. (2017). Neural citation network for context-aware citation recommendation. In Proceedings of the 40th International ACM SIGIR conference on research and development in information retrieval (SIGIR’17) (pp. 1093–1096). ACM. EbesuT. FangY. 2017 Neural citation network for context-aware citation recommendation In Proceedings of the 40th International ACM SIGIR conference on research and development in information retrieval (SIGIR’17) 1093 1096 ACM 10.1145/3077136.3080730 Search in Google Scholar

Gao, Z. (2016). Examining influences of publication dates on citation recommendation systems. In Proceedings of the 12th international conference on fuzzy systems and knowledge discovery (FSKD’15) (pp. 1400–1405). IEEE. GaoZ. 2016 Examining influences of publication dates on citation recommendation systems In Proceedings of the 12th international conference on fuzzy systems and knowledge discovery (FSKD’15) 1400 1405 IEEE Search in Google Scholar

Huang, W.Y., Wu, Z.H., Mitra, P., & Giles, C. (2014). RefSeer: Citation Recommendation System. In Proceedings of the 14th ACM/IEEE-CS joint conference on digital libraries (JCDL’14) (pp. 371–374). ACM HuangW.Y. WuZ.H. MitraP. GilesC. 2014 RefSeer: Citation Recommendation System In Proceedings of the 14th ACM/IEEE-CS joint conference on digital libraries (JCDL’14) 371 374 ACM 10.1109/JCDL.2014.6970192 Search in Google Scholar

He, J., Nie, J.Y., Lu, Y., & Zhao, W. (2012). Position-aligned translation model for citation recommendation. In Proceedings of the international symposium on string processing and information retrieval (pp. 251–263). Springer, Berlin, Heidelberg. HeJ. NieJ.Y. LuY. ZhaoW. 2012 Position-aligned translation model for citation recommendation In Proceedings of the international symposium on string processing and information retrieval 251 263 Springer, Berlin, Heidelberg 10.1007/978-3-642-34109-0_27 Search in Google Scholar

He, Q., Kifer, D., Pei, J., Mitra, P., & Giles, C. (2011). Citation recommendation without author supervision. In Proceedings of the fourth ACM international conference on web search and data mining (WSDM’11) (pp. 755–764). ACM. HeQ. KiferD. PeiJ. MitraP. GilesC. 2011 Citation recommendation without author supervision In Proceedings of the fourth ACM international conference on web search and data mining (WSDM’11) 755 764 ACM 10.1145/1935826.1935926 Search in Google Scholar

He, Q., Pei, J., Kifer, D., Mitra, P., & Giles, C. (2010). Context-aware citation recommendation. In Proceedings of the 19th international conference on world wide web (WWW’10) (pp. 421–430). ACM. HeQ. PeiJ. KiferD. MitraP. GilesC. 2010 Context-aware citation recommendation In Proceedings of the 19th international conference on world wide web (WWW’10) 421 430 ACM 10.1145/1772690.1772734 Search in Google Scholar

Huang, W.Y., Wu, Z.H., Chen, L., Mitra, P., & Giles, C. (2015). A Neural Probabilistic Model for Context Based Citation Recommendation. In Proceedings of the 29th association for the advancement of artificial intelligence (AAAI’2015) (pp. 2404–2410). HuangW.Y. WuZ.H. ChenL. MitraP. GilesC. 2015 A Neural Probabilistic Model for Context Based Citation Recommendation In Proceedings of the 29th association for the advancement of artificial intelligence (AAAI’2015) 2404 2410 10.1609/aaai.v29i1.9528 Search in Google Scholar

Jeong, C., Jang, S., Shin, H., Park, E., & Choi, S. (2019). A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks. arXiv preprint arXiv:1903.06464. JeongC. JangS. ShinH. ParkE. ChoiS. 2019 A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks arXiv preprint arXiv:1903.06464. 10.1007/s11192-020-03561-y Search in Google Scholar

Jiang, Z.R., Liu, X.Z., & Gao, L.C. (2014). Dynamic topic/citation influence modeling for chronological citation recommendation. In Proceedings of the 5th international workshop on web-scale knowledge representation retrieval & reasoning (pp. 15–18). ACM. JiangZ.R. LiuX.Z. GaoL.C. 2014 Dynamic topic/citation influence modeling for chronological citation recommendation In Proceedings of the 5th international workshop on web-scale knowledge representation retrieval & reasoning 15 18 ACM 10.1145/2663792.2663795 Search in Google Scholar

Jiang, Z. (2015). Chronological scientific information recommendation via supervised dynamic topic modeling. In Proceedings of the 8th ACM international conference on web search and data mining (WSDM’15) (pp. 453–458). ACM. JiangZ. 2015 Chronological scientific information recommendation via supervised dynamic topic modeling In Proceedings of the 8th ACM international conference on web search and data mining (WSDM’15) 453 458 ACM 10.1145/2684822.2697036 Search in Google Scholar

Jiang, Z.R., Liu, X.Z., & Gao, L.C. (2015). Chronological citation recommendation with information-need shifting. In Proceedings of the 24th ACM international on conference on information and knowledge management (CIKM’15) (pp. 1291–1300). ACM. JiangZ.R. LiuX.Z. GaoL.C. 2015 Chronological citation recommendation with information-need shifting In Proceedings of the 24th ACM international on conference on information and knowledge management (CIKM’15) 1291 1300 ACM 10.1145/2806416.2806567 Search in Google Scholar

Jiang, Z.R., Yin, Y., Gao, L.C., Lu, Y., & Liu, X.Z. (2018). Cross-Language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. In Proceedings of the 41th international ACM SIGIR conference on research and development in information retrieval(SIGIR’18). ACM. JiangZ.R. YinY. GaoL.C. LuY. LiuX.Z. 2018 Cross-Language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph In Proceedings of the 41th international ACM SIGIR conference on research and development in information retrieval (SIGIR’18) ACM 10.1145/3209978.3210032 Search in Google Scholar

Jia, H.F., & Saule, E. (2018). Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems. arXiv preprint arXiv:1812.11252. JiaH.F. SauleE. 2018 Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems arXiv preprint arXiv:1812.11252. 10.1145/3110025.3110150 Search in Google Scholar

Kates-Harbeck, J., & Haggblade, M. (2013). A two-stage citation recommendation system. Stanford University. Kates-HarbeckJ. HaggbladeM. 2013 A two-stage citation recommendation system Stanford University Search in Google Scholar

Küçüktunç, O., Saule, E., Kaya, K., & Çatalyürek, U. (2012). Direction awareness in citation recommendation. In Proceedings of the international workshop on ranking in databases (DBRank’12) in conjunction with VLDB’12. KüçüktunçO. SauleE. KayaK. ÇatalyürekU. 2012 Direction awareness in citation recommendation In Proceedings of the international workshop on ranking in databases (DBRank’12) in conjunction with VLDB’12 Search in Google Scholar

Küçüktunç, O., Saule, E., Kaya, K., & Çatalyürek, Ü. (2013). Result diversification in automatic citation recommendation. In Proceedings of the iConference workshop on computational scientometrics: theory and applications (pp. 1–4). KüçüktunçO. SauleE. KayaK. ÇatalyürekÜ. 2013 Result diversification in automatic citation recommendation In Proceedings of the iConference workshop on computational scientometrics: theory and applications 1 4 Search in Google Scholar

Küçüktunç, O., Saule, E., Kaya, K., & Çatalyürek, Ü. (2015). Diversifying citation recommendations. ACM Transactions on Intelligent Systems and Technology, 5(4), 55. KüçüktunçO. SauleE. KayaK. ÇatalyürekÜ. 2015 Diversifying citation recommendations ACM Transactions on Intelligent Systems and Technology 5 4 55 10.1145/2668106 Search in Google Scholar

Liu, Y.N., Yan, R., & Yan, H.F. (2013). Guess what you will cite: Personalized citation recommendation based on users’ preference. In Asia information retrieval symposium (pp. 428–439). Springer, Berlin, Heidelberg. LiuY.N. YanR. YanH.F. 2013 Guess what you will cite: Personalized citation recommendation based on users’ preference In Asia information retrieval symposium 428 439 Springer Berlin, Heidelberg 10.1007/978-3-642-45068-6_37 Search in Google Scholar

Li, M., Wang, M., & Wang, C.G. (2010). Research on SVM classification performance in rolling bearing diagnosis. In Proceeding of the international conference on intelligent computation technology and automation (ICICTA’10) (pp. 132–135). IEEE. LiM. WangM. WangC.G. 2010 Research on SVM classification performance in rolling bearing diagnosis In Proceeding of the international conference on intelligent computation technology and automation (ICICTA’10) 132 135 IEEE Search in Google Scholar

Livne, A., Gokuladas, V., Teevan, J., Dumais, S., & Adar, E. (2014). CiteSight: supporting contextual citation recommendation using differential search. In Proceedings of the 37th international ACM SIGIR conference on research & development in information retrieval (SIGIR’14) (pp. 807–816). ACM. LivneA. GokuladasV. TeevanJ. DumaisS. AdarE. 2014 CiteSight: supporting contextual citation recommendation using differential search In Proceedings of the 37th international ACM SIGIR conference on research & development in information retrieval (SIGIR’14) 807 816 ACM 10.1145/2600428.2609585 Search in Google Scholar

Li, X., Cheng, Q., & Lu, W. (2017). “CS-LAS: A Scientific Literature Retrieval and Analysis System Based on Term Function Recognition (TFR).” In Proceedings of the 16th international conference of the international society for scientometrics and informetrics (ISSI’17). LiX. ChengQ. LuW. 2017 “CS-LAS: A Scientific Literature Retrieval and Analysis System Based on Term Function Recognition (TFR).” In Proceedings of the 16th international conference of the international society for scientometrics and informetrics (ISSI’17) Search in Google Scholar

Lu, Y., He, J., Shan, D.D., & Yan, H.F. (2011). Recommending citations with translation model. In Proceedings of the 20th ACM international conference on information and knowledge management (CIKM’11) (pp. 2017–2020). ACM. LuY. HeJ. ShanD.D. YanH.F. 2011 Recommending citations with translation model In Proceedings of the 20th ACM international conference on information and knowledge management (CIKM’11) 2017 2020 ACM 10.1145/2063576.2063879 Search in Google Scholar

Luong, M., Nguyen, T., & Kan, M.(2012). Logical structure recovery in scholarly articles with rich document features. In multimedia storage and retrieval innovations for digital library systems (pp. 270–292). IGI Global. LuongM. NguyenT. KanM. 2012 Logical structure recovery in scholarly articles with rich document features In multimedia storage and retrieval innovations for digital library systems 270 292 IGI Global 10.4018/978-1-4666-0900-6.ch014 Search in Google Scholar

McNee, S., Albert, I., Cosley, D., Gopalkrishnan, P., Lam, S., Rashid, A., Konstan, J., & Riedl, J. (2002). On the recommending of citations for research papers. In Proceedings of the 2002 ACM conference on computer supported cooperative work (pp. 116–125). ACM. McNeeS. AlbertI. CosleyD. GopalkrishnanP. LamS. RashidA. KonstanJ. RiedlJ. 2002 On the recommending of citations for research papers In Proceedings of the 2002 ACM conference on computer supported cooperative work 116 125 ACM 10.1145/587078.587096 Search in Google Scholar

Melgani, F., & Bruzzone, L. (2004). Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing, 42(8), 1778–1790. MelganiF. BruzzoneL. 2004 Classification of hyperspectral remote sensing images with support vector machines IEEE Transactions on Geoscience and Remote Sensing 42 8 1778 1790 10.1109/IGARSS.2002.1025088 Search in Google Scholar

Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781. MikolovT. ChenK. CorradoG. DeanJ. 2013 Efficient estimation of word representations in vector space arXiv preprint arXiv:1301.3781. Search in Google Scholar

Ren, X., Liu, J.L., Yu, X., Khandelwal, U., Gu, Q.Q., Wang, L.D., & Han, J.W. (2014). Cluscite: Effective citation recommendation by information network-based clustering. In Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining (KDD’2014) (pp. 821–830). ACM. RenX. LiuJ.L. YuX. KhandelwalU. GuQ.Q. WangL.D. HanJ.W. 2014 Cluscite: Effective citation recommendation by information network-based clustering In Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining (KDD’2014) 821 830 ACM 10.1145/2623330.2623630 Search in Google Scholar

Robertson, S., & Zaragoza, H. (2009). The probabilistic relevance framework: BM25 and beyond. Foundations and Trends® in Information Retrieval, 3(4), 333–389. RobertsonS. ZaragozaH. 2009 The probabilistic relevance framework: BM25 and beyond Foundations and Trends® in Information Retrieval 3 4 333 389 10.1561/1500000019 Search in Google Scholar

Rokach, L., Mitra, P., Kataria, S., Huang, W., & Giles, C. (2013). A Supervised Learning Method for ContextAware Citation Recommendation in a Large Corpus. Proceedings of the Large-Scale and Distributed Systems for Information Retrieval Workshop (LSDS-IR) (pp. 17–22). RokachL. MitraP. KatariaS. HuangW. GilesC. 2013 A Supervised Learning Method for ContextAware Citation Recommendation in a Large Corpus Proceedings of the Large-Scale and Distributed Systems for Information Retrieval Workshop (LSDS-IR) 17 22 Search in Google Scholar

Sesagiri Raamkumar, A., Foo, S., & Pang, N. (2015). Rec4LRW–Scientific Paper Recommender System for Literature Review and Writing. In Proceedings of the 6th international conference on applications of digital information and web technologies (pp. 106–119). Sesagiri RaamkumarA. FooS. PangN. 2015 Rec4LRW–Scientific Paper Recommender System for Literature Review and Writing In Proceedings of the 6th international conference on applications of digital information and web technologies 106 119 Search in Google Scholar

Sesagiri Raamkumar, A., Foo, S., & Pang, N. (2016). What papers should I cite from my reading list? User evaluation of a manuscript preparatory assistive task. In Proceedings of the joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL’16) (pp. 51–62). Sesagiri RaamkumarA. FooS. PangN. 2016 What papers should I cite from my reading list? User evaluation of a manuscript preparatory assistive task In Proceedings of the joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL’16) 51 62 Search in Google Scholar

Son, J., & Kim, S. (2018). Academic paper recommender system using multilevel simultaneous citation networks. Decision Support Systems, 105, 24–33. SonJ. KimS. 2018 Academic paper recommender system using multilevel simultaneous citation networks Decision Support Systems 105 24 33 10.1016/j.dss.2017.10.011 Search in Google Scholar

Strohman, T., Croft, W., & Jensen, D. (2007). Recommending citations for academic papers. In Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval (SIGIR’07) (pp. 705–706). ACM. StrohmanT. CroftW. JensenD. 2007 Recommending citations for academic papers In Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval (SIGIR’07) 705 706 ACM 10.1145/1277741.1277868 Search in Google Scholar

Tang, J., & Zhang, J. (2009). A discriminative approach to topic-based citation recommendation. In Pacific-Asia Conference on knowledge discovery and data mining (PAKDD’09) (pp. 572–579). Springer, Berlin, Heidelberg. TangJ. ZhangJ. 2009 A discriminative approach to topic-based citation recommendation In Pacific-Asia Conference on knowledge discovery and data mining (PAKDD’09) 572 579 Springer, Berlin, Heidelberg 10.1007/978-3-642-01307-2_55 Search in Google Scholar

Tang, X.W., Wan, X.J., & Zhang, X. (2014). Cross-language context-aware citation recommendation in scientific articles. In Proceedings of the 37th international ACM SIGIR conference on research & development in information retrieval (SIGIR’14) (pp. 817–826). ACM. TangX.W. WanX.J. ZhangX. 2014 Cross-language context-aware citation recommendation in scientific articles In Proceedings of the 37th international ACM SIGIR conference on research & development in information retrieval (SIGIR’14) 817 826 ACM 10.1145/2600428.2609564 Search in Google Scholar

Viera, A., & Garrett, J. (2005). Understanding interobserver agreement: the kappa statistic. Fam Med, 37(5), 360–363. VieraA. GarrettJ. 2005 Understanding interobserver agreement: the kappa statistic Fam Med 37 5 360 363 Search in Google Scholar

Wu, H., Hua, Y., Li, B., & Pei, Y.J. (2012). Enhancing citation recommendation with various evidences. In Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’12) (pp. 1160–1165). IEEE. WuH. HuaY. LiB. PeiY.J. 2012 Enhancing citation recommendation with various evidences In Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’12) 1160 1165 IEEE 10.1109/FSKD.2012.6234002 Search in Google Scholar

Yang, L.B., Zhang, Z.Q., Cai, X.Y., & Dai, T. (2019). Attention-Based Personalized Encoder-Decoder Model for Local Citation Recommendation. Computational Intelligence and Neuroscience, 2019. YangL.B. ZhangZ.Q. CaiX.Y. DaiT. 2019 Attention-Based Personalized Encoder-Decoder Model for Local Citation Recommendation Computational Intelligence and Neuroscience 2019 10.1155/2019/1232581658929031281332 Search in Google Scholar

Yang, L.B., Zhang, Z.Q., Cai, X.Y., & Guo, L.T. (2019). Citation recommendation as edge prediction in heterogeneous bibliographic network: A network representation approach. IEEE Access, 7, 23232–23239. YangL.B. ZhangZ.Q. CaiX.Y. GuoL.T. 2019 Citation recommendation as edge prediction in heterogeneous bibliographic network: A network representation approach IEEE Access 7 23232 23239 10.1109/ACCESS.2019.2899907 Search in Google Scholar

Zarrinkalam, F., & Kahani, M. (2012). A multi-criteria hybrid citation recommendation system based on linked data. In Proceedings of the 2nd International eConference on Computer and Knowledge Engineering (ICCKE’12) (pp. 283–288). IEEE. ZarrinkalamF. KahaniM. 2012 A multi-criteria hybrid citation recommendation system based on linked data In Proceedings of the 2nd International eConference on Computer and Knowledge Engineering (ICCKE’12) 283 288 IEEE 10.1109/ICCKE.2012.6395393 Search in Google Scholar

Zarrinkalam, F., & Kahani, M. (2013). SemCiR: A citation recommendation system based on a novel semantic distance measure. Program, 47(1), 92–112. ZarrinkalamF. KahaniM. 2013 SemCiR: A citation recommendation system based on a novel semantic distance measure Program 47 1 92 112 10.1108/00330331311296320 Search in Google Scholar

Zhang, S., Yao, L., Sun, A., & Tay, Y. (2019). Deep learning based recommender system: A survey and new perspectives. ACM Computing Surveys (CSUR), 52(1), 5. ZhangS. YaoL. SunA. TayY. 2019 Deep learning based recommender system: A survey and new perspectives ACM Computing Surveys (CSUR) 52 1 5 10.1145/3285029 Search in Google Scholar

Zhou, S.P. (2010). ActiveCite: An Interactive System for Automatic Citation Suggestion. National University of Singapore. ZhouS.P. 2010 ActiveCite: An Interactive System for Automatic Citation Suggestion National University of Singapore Search in Google Scholar

eISSN:
2543-683X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining