{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T19:07:22Z","timestamp":1762974442811,"version":"3.45.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T00:00:00Z","timestamp":1762905600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T00:00:00Z","timestamp":1762905600000},"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":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-025-04399-y","type":"journal-article","created":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T06:34:43Z","timestamp":1762929283000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["VRD: Visual Research Discovery\u2014A Hybrid Framework Integrating Semantic Search and Interactive Visualization"],"prefix":"10.1007","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7793-2063","authenticated-orcid":false,"given":"Neha","family":"Yadav","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dhanalekshmi","family":"Gopinathan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,12]]},"reference":[{"key":"4399_CR1","doi-asserted-by":"crossref","unstructured":"Tiwary N, Noah SAM. Fariza Fauzi, and Tan Siok Yee. A review of explainable recommender systems utilizing knowledge graphs and reinforcement learning. IEEE Access (2024).","DOI":"10.2139\/ssrn.4758301"},{"key":"4399_CR2","doi-asserted-by":"crossref","unstructured":"Zhou K, Zhao WX, Bian S, Zhou Y, Wen J-R. and Jingsong Yu. Improving conversational recommender systems via knowledge graph based semantic fusion. In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, pp. 1006\u20131014. 2020.","DOI":"10.1145\/3394486.3403143"},{"key":"4399_CR3","doi-asserted-by":"crossref","unstructured":"Yong Y, Yao Z, Zhao Y. A framework for reviewer recommendation based on knowledge graph and rules matching. In 2021 IEEE international conference on information communication and software engineering (ICICSE), pp. 199\u2013203. IEEE, 2021.","DOI":"10.1109\/ICICSE52190.2021.9404099"},{"key":"4399_CR4","doi-asserted-by":"crossref","unstructured":"Chicaiza J, Valdiviezo-Diaz P. A comprehensive survey of knowledge graph-based recommender systems: Technologies, development, and contributions. Information 12, no. 6 (2021): 232.","DOI":"10.3390\/info12060232"},{"issue":"2","key":"4399_CR5","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s00799-021-00301-2","volume":"22","author":"A Chaudhuri","year":"2021","unstructured":"Chaudhuri A, Sinhababu N, Sarma M, Debasis Samanta. Hidden features identification for designing an efficient research Article recommendation system. Int J Digit Libr. 2021;22(2):233\u201349.","journal-title":"Int J Digit Libr"},{"issue":"8","key":"4399_CR6","doi-asserted-by":"publisher","first-page":"4463","DOI":"10.1007\/s10115-024-02094-7","volume":"66","author":"V Stergiopoulos","year":"2024","unstructured":"Stergiopoulos V, Vassilakopoulos M, Tousidou E, Corral A. An academic recommender system on large citation data based on clustering, graph modeling and deep learning. Knowl Inf Syst. 2024;66(8):4463\u201396.","journal-title":"Knowl Inf Syst"},{"key":"4399_CR7","doi-asserted-by":"crossref","unstructured":"Wang X, Xu H, Tan W, Wang Z, Xu X. Scholarly paper recommendation via related path analysis in knowledge graph. In 2020 International Conference on Service Science (ICSS), pp. 36\u201343. IEEE, 2020.","DOI":"10.1109\/ICSS50103.2020.00014"},{"key":"4399_CR8","unstructured":"Hasan M, Islam AT, Islam N. Utilizing Collaborative Filtering in a Personalized Research-Paper Recommendation System. arXiv preprint arXiv:2409.19267 (2024)."},{"key":"4399_CR9","unstructured":"Wang B, Weng Z, Wang Y. A novel paper recommendation method empowered by knowledge graph: for research beginners. arXiv preprint arXiv:2103.08819 (2021)."},{"key":"4399_CR10","doi-asserted-by":"crossref","unstructured":"Zhou S, Alon U, Agarwal S. and Graham Neubig. Codebertscore: Evaluating code generation with pretrained models of code. arXiv preprint arXiv:2302.05527 (2023).","DOI":"10.18653\/v1\/2023.emnlp-main.859"},{"key":"4399_CR11","doi-asserted-by":"crossref","unstructured":"Dakle P, Pravin S, Patil SK, Rallabandi C, Hegde, and Preethi Raghavan. Using transformer-based models for taxonomy enrichmentsentence classification. In Proceedings of the Fourth Workshop on Financial TechnologyNatural Language Processing (FinNLP), pp. 250\u2013258. 2022.","DOI":"10.18653\/v1\/2022.finnlp-1.34"},{"key":"4399_CR12","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s10462-017-9539-5","volume":"50","author":"JK Tarus","year":"2018","unstructured":"Tarus JK, Niu Z, Mustafa G. Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning. Artif Intell Rev. 2018;50:21\u201348.","journal-title":"Artif Intell Rev"},{"key":"4399_CR13","doi-asserted-by":"crossref","unstructured":"Ko H, Lee S, Park Y, Choi A. A survey of recommendation systems: recommendation models, techniques, and application fields. Electronics 11, no. 1 (2022): 141.","DOI":"10.3390\/electronics11010141"},{"key":"4399_CR14","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.ijar.2022.08.015","volume":"150","author":"R Yera","year":"2022","unstructured":"Yera R, Alzahrani AA, Mart\u00ednez L. A fuzzy content-based group recommender system with dynamic selection of the aggregation functions. Int J Approximate Reasoning. 2022;150:273\u201396.","journal-title":"Int J Approximate Reasoning"},{"issue":"14s","key":"4399_CR15","first-page":"1","volume":"55","author":"N Pittaras","year":"2023","unstructured":"Pittaras N, Giannakopoulos G, Stamatopoulos P, Vangelis Karkaletsis. Content-based and knowledge-enriched representations for classification across modalities: a survey. ACM-CSUR. 2023;55(14s):1\u201340.","journal-title":"ACM-CSUR"},{"issue":"13","key":"4399_CR16","doi-asserted-by":"publisher","first-page":"e6227","DOI":"10.1002\/cpe.6227","volume":"33","author":"H Tang","year":"2021","unstructured":"Tang H, Baisong Liu, and, Qian J. Content-based and knowledge graph\u2010based paper recommendation: exploring user preferences with the knowledge graphs for scientific paper recommendation. Concurrency Computation: Pract Experience. 2021;33(13):e6227.","journal-title":"Concurrency Computation: Pract Experience"},{"issue":"4","key":"4399_CR17","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1109\/TSC.2020.2964552","volume":"13","author":"Z Cui","year":"2020","unstructured":"Cui Z, Xu X, Cai X, Cao Y, Zhang W, Chen J. Personalized recommendation system based on collaborative filtering for IoT scenarios. IEEE Trans Serv Comput. 2020;13(4):685\u201395.","journal-title":"IEEE Trans Serv Comput"},{"issue":"1","key":"4399_CR18","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/s40692-021-00199-4","volume":"9","author":"NS Raj","year":"2022","unstructured":"Raj NS, Renumol VG. A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020. J Computers Educ. 2022;9(1):113\u201348.","journal-title":"J Computers Educ"},{"key":"4399_CR19","doi-asserted-by":"crossref","unstructured":"Singh R, Gaonkar G, Bandre V, Sarang N, Deshpande S. Scientific paper recommendation system. In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp. 1\u20134. IEEE, 2023.","DOI":"10.1109\/I2CT57861.2023.10126196"},{"issue":"3","key":"4399_CR20","doi-asserted-by":"publisher","first-page":"1669","DOI":"10.3390\/app12031669","volume":"12","author":"Z Xu","year":"2022","unstructured":"Xu Z, Liu H, Li J, Zhang Q, Tang Y. Ckgat: collaborative knowledge-aware graph attention network for top-n recommendation. Appl Sci. 2022;12(3):1669.","journal-title":"Appl Sci"},{"key":"4399_CR21","doi-asserted-by":"publisher","first-page":"50880","DOI":"10.1109\/ACCESS.2021.3068570","volume":"9","author":"B Jiang","year":"2021","unstructured":"Jiang B, Yang J, Qin Y, Wang T, Wang M, Pan W. A service recommendation algorithm based on knowledge graph and collaborative filtering. IEEE Access. 2021;9:50880\u201392.","journal-title":"IEEE Access"},{"issue":"3","key":"4399_CR22","first-page":"487","volume":"11","author":"A Pasandideh","year":"2023","unstructured":"Pasandideh A. Link prediction in social networks: A bibliometric analysis and review of literature (1987\u20132021). J AI Data Min. 2023;11(3):487\u2013504.","journal-title":"J AI Data Min"},{"key":"4399_CR23","unstructured":"Lavryk Y. and Yurii Kryvenchuk. Product Recommendation System Using Graph Neural Network. In MoMLeT\u2009+\u2009DS, pp. 182\u2013192. 2023."},{"issue":"1","key":"4399_CR24","doi-asserted-by":"publisher","first-page":"102263","DOI":"10.1016\/j.asej.2023.102263","volume":"15","author":"Z Shokrzadeh","year":"2024","unstructured":"Shokrzadeh Z, Feizi-Derakhshi M-R, Balafar M-A, Jamshid Bagherzadeh M. Knowledge graph-based recommendation system enhanced by neural collaborative filtering and knowledge graph embedding. Ain Shams Eng J. 2024;15(1):102263.","journal-title":"Ain Shams Eng J"},{"key":"4399_CR25","doi-asserted-by":"crossref","unstructured":"Li D, Qu H, Wang J. A survey on knowledge graph-based recommender systems. 2023 China automation Congress (CAC). IEEE; 2023. pp. 2925\u201330.","DOI":"10.1109\/CAC59555.2023.10450693"},{"key":"4399_CR26","doi-asserted-by":"crossref","unstructured":"Venkatesan V, Kumar MT, Ramakrishna A, Batyuk A, Barna. and Bohdana Havrysh. High-Performance artificial intelligence recommendation of quality research papers using effective collaborative approach. Systems 11, no. 2 (2023): 81.","DOI":"10.3390\/systems11020081"},{"key":"4399_CR27","doi-asserted-by":"publisher","first-page":"33145","DOI":"10.1109\/ACCESS.2019.2900520","volume":"7","author":"W Waheed","year":"2019","unstructured":"Waheed W, Imran M, Raza B. Ahmad Kamran Malik, and Hasan Ali Khattak. A hybrid approach toward research paper recommendation using centrality measures and author ranking. IEEE Access. 2019;7:33145\u201358.","journal-title":"IEEE Access"},{"key":"4399_CR28","first-page":"6","volume":"14","author":"I Mazlan","year":"2023","unstructured":"Mazlan I, Abdullah N, Norashikin Ahmad. Exploring the impact of hybrid recommender systems on personalized mental health recommendations. Int J Adv Comput Sci Appl. 2023;14:6.","journal-title":"Int J Adv Comput Sci Appl"},{"issue":"1","key":"4399_CR29","doi-asserted-by":"publisher","first-page":"47","DOI":"10.26599\/BDMA.2020.9020015","volume":"4","author":"F Al Fararni, Khalid","year":"2021","unstructured":"Al Fararni, Khalid F, Nafis B, Aghoutane A, Yahyaouy. Jamal Riffi, and abdelouahed Sabri. Hybrid recommender system for tourism based on big data and AI: A conceptual framework. Big Data Min Analytics. 2021;4(1):47\u201355.","journal-title":"Big Data Min Analytics"},{"key":"4399_CR30","doi-asserted-by":"publisher","unstructured":"Grace LKJ, Maneengam A, Kumar P. KV, and Joel Alanya-Beltran. Design and implementation of machine learning modelling through adaptive hybrid swarm optimization techniques for machine management. (2023): 1120\u20131126.https:\/\/doi.org\/10.5109\/6793672","DOI":"10.5109\/6793672"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04399-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-025-04399-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04399-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T19:02:50Z","timestamp":1762974170000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-025-04399-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,12]]},"references-count":30,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["4399"],"URL":"https:\/\/doi.org\/10.1007\/s42979-025-04399-y","relation":{},"ISSN":["2661-8907"],"issn-type":[{"type":"electronic","value":"2661-8907"}],"subject":[],"published":{"date-parts":[[2025,11,12]]},"assertion":[{"value":"27 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 September 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 November 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"958"}}