{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T21:55:42Z","timestamp":1784584542714,"version":"3.55.0"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"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":["Educ Inf Technol"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s10639-023-11817-2","type":"journal-article","created":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T03:24:46Z","timestamp":1682911486000},"page":"15657-15670","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Using an explicit query and a topic model for scientific article recommendation"],"prefix":"10.1007","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7033-4183","authenticated-orcid":false,"given":"Boussaadi","family":"Smail","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hassina","family":"Aliane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ouahabi","family":"Abdeldjalil","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,5,1]]},"reference":[{"key":"11817_CR1","doi-asserted-by":"publisher","unstructured":"Adomavicius, G. & Tuzhilin, A. (2005). Toward the next generation of recommender systems : a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6). https:\/\/doi.org\/10.1109\/TKDE.2005.99","DOI":"10.1109\/TKDE.2005.99"},{"key":"11817_CR2","doi-asserted-by":"publisher","unstructured":"Albalawi, R., Yeap, T. H. & Benyoucef, M. (2020). Using Topic Modeling Methods for Short-Text Data : A Comparative Analysis. Frontiers in artificial intelligence, 3. https:\/\/doi.org\/10.3389\/frai.2020.00042","DOI":"10.3389\/frai.2020.00042"},{"key":"11817_CR3","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/s10270-021-00905-x","volume":"21","author":"L Almonte","year":"2022","unstructured":"Almonte, L., Guerra, E., Cantador, I., & de Lara, J. (2022). Recommender systems in model-driven engineering. Software and Systems Modeling, 21, 249\u2013280. https:\/\/doi.org\/10.1007\/s10270-021-00905-x","journal-title":"Software and Systems Modeling"},{"key":"11817_CR4","doi-asserted-by":"publisher","unstructured":"Amami, M., Pasi, G., Stella, F., & Faiz, R. (2016). An LDA-based approach to scientific paper recommendation. In Springer eBooks (pp. 200\u2013210). Springer Nature. https:\/\/doi.org\/10.1007\/978-3-319-41754-7_17","DOI":"10.1007\/978-3-319-41754-7_17"},{"key":"11817_CR5","doi-asserted-by":"publisher","DOI":"10.1109\/icict50816.2021.9358561","author":"D Bagul","year":"2021","unstructured":"Bagul, D., & Barve, S. (2021). A novel content-based recommendation approach based on LDA topic modeling for literature recommendation. International Conference on Inventive Computation Technologies. https:\/\/doi.org\/10.1109\/icict50816.2021.9358561","journal-title":"International Conference on Inventive Computation Technologies"},{"key":"11817_CR6","doi-asserted-by":"publisher","first-page":"9324","DOI":"10.1109\/ACCESS.2018.2890388","volume":"7","author":"X Bai","year":"2020","unstructured":"Bai, X., Wang, M., Lee, I., Yang, Z., Kong, X., & Xai, F. (2020). Scientific Paper Recommendation\u202f: A Survey. IEEE Access, 7, 9324\u20139339.","journal-title":"IEEE Access"},{"key":"11817_CR7","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/s00799-015-0156-0","volume":"17","author":"J Beel","year":"2016","unstructured":"Beel, J., Gipp, B., & Langer, S. (2016). Research-paper recommender systems\u202f: A literature survey. International Journal on Digital Libraries, 17, 305\u2013338. https:\/\/doi.org\/10.1007\/s00799-015-0156-0","journal-title":"International Journal on Digital Libraries"},{"key":"11817_CR8","doi-asserted-by":"publisher","first-page":"32","DOI":"10.11591\/ijeecs.v18.i1.pp32-40","volume":"18","author":"S Berhil","year":"2020","unstructured":"Berhil, S., Benlahmar, H., & Labani, N. (2020). A review paper on artificial intelligence at the service of human resources management. Indonesian Journal of Electrical Engineering and Computer Science, 18, 32\u201340.","journal-title":"Indonesian Journal of Electrical Engineering and Computer Science"},{"key":"11817_CR9","first-page":"993","volume":"3","author":"D Blei","year":"2000","unstructured":"Blei, D., & M., Ng, A. & Jordan, M., I. (2000). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993\u20131022.","journal-title":"Journal of Machine Learning Research"},{"key":"11817_CR10","doi-asserted-by":"publisher","unstructured":"Boussaadi, S., Aliane, H., Abdeldjalil, O., Houari, D., & Djoumagh, M. (2020). Recommender systems based on detection community in academic social network. 2020 International Multi-Conference on : \u201cOrganization of Knowledge and Advanced Technologies\u201d (OCTA). https:\/\/doi.org\/10.1109\/octa49274.2020.9151729","DOI":"10.1109\/octa49274.2020.9151729"},{"key":"11817_CR11","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/s40745-019-00218-3","volume":"8","author":"C Guo","year":"2021","unstructured":"Guo, C., Lu, M., & Wei, W. (2021). An Improved LDA Topic Modeling Method Based on Partition for Medium and Long Texts. Annals of Data Science, 8, 331\u2013344. https:\/\/doi.org\/10.1007\/s40745-019-00218-3","journal-title":"Annals of Data Science"},{"key":"11817_CR12","doi-asserted-by":"publisher","unstructured":"Hadhiatma, A., Azhari, A., & Suyanto, Y. (2023). A Scientific Paper Recommendation Framework Based on Multi-Topic Communities and Modified PageRank. IEEE Access., 1\u20131. https:\/\/doi.org\/10.1109\/ACCESS.2023.3251189","DOI":"10.1109\/ACCESS.2023.3251189"},{"key":"11817_CR13","unstructured":"Hong, K., Jeon, H. & Jeon, C. (2013). Personalized Research Paper Recommendation System using Keyword Extraction Based on UserProfile. Journal of Convergence Information Technology, 106\u2013116"},{"issue":"11","key":"11817_CR14","doi-asserted-by":"publisher","first-page":"15169","DOI":"10.1007\/s11042-018-6894-4","volume":"78","author":"H Jelodar","year":"2019","unstructured":"Jelodar, H., Wang, Y., Yuan, C., Feng, X., Jiang, X., Li, Y., & Zhao, L. (2019). Latent Dirichlet allocation (LDA) and topic modeling\u202f: Models, applications, a survey. Multimedia Tools and Applications, 78(11), 15169\u201315211. https:\/\/doi.org\/10.1007\/s11042-018-6894-4","journal-title":"Multimedia Tools and Applications"},{"key":"11817_CR15","unstructured":"Jooneghani, Z. K. N. (2021). Comparison of topic modeling methods for analyzing tweets on Covid-19 vaccine."},{"key":"11817_CR16","doi-asserted-by":"publisher","unstructured":"Kershaw, D., & Koeling, R. (2020). Elsevier OA CC-BY corpus. Elsevier Data Repository, V3. https:\/\/doi.org\/10.17632\/zm33cdndxs.3","DOI":"10.17632\/zm33cdndxs.3"},{"key":"11817_CR17","doi-asserted-by":"publisher","unstructured":"Lee, D. & Seung, H. (1998). Learning the parts of objects by non-negative matrix factorization. Nature, 788\u2013791.\u00a0https:\/\/doi.org\/10.1038\/44565","DOI":"10.1038\/44565"},{"issue":"7","key":"11817_CR18","doi-asserted-by":"publisher","first-page":"e37142","DOI":"10.2196\/37142","volume":"24","author":"YT Leung","year":"2022","unstructured":"Leung, Y. T., & Khalvati, F. (2022). Exploring COVID-19\u2013Related stressors\u202f: Topic modeling study. Journal of Medical Internet Research, 24(7), e37142. https:\/\/doi.org\/10.2196\/37142","journal-title":"Journal of Medical Internet Research"},{"issue":"5","key":"11817_CR19","doi-asserted-by":"publisher","first-page":"600","DOI":"10.48550\/arXiv.2201.13257","volume":"24","author":"M Levene","year":"2022","unstructured":"Levene, M. (2022). A Skew Logistic Distribution for Modelling COVID-19 Waves and Its Evaluation Using the Empirical Survival Jensen-Shannon Divergence. Entropy, 24(5), 600. https:\/\/doi.org\/10.48550\/arXiv.2201.13257","journal-title":"Entropy"},{"key":"11817_CR20","doi-asserted-by":"publisher","unstructured":"Rossetti, M., Pettit, B., Vargas, S., Kershaw, D., Jack, K., Magatti, D. & Hristakeva, M. (2017). Effectively identifying users\u2019 research interests for scholarly reference management and discovery. the 1st Workshop on Scholarly Web Mining, 17\u201324.\u00a0https:\/\/doi.org\/10.1145\/3057148.3057151","DOI":"10.1145\/3057148.3057151"},{"key":"11817_CR21","doi-asserted-by":"crossref","unstructured":"Sakib, N., Ahmad, R., B. & Haruna, K. (2022). A collaborative approach toward scientific paper recommendation using citation context. IEEE Access, 8, 51246\u201351255.","DOI":"10.1109\/ACCESS.2020.2980589"},{"key":"11817_CR22","unstructured":"Stevens, K., Kegelmeyer, P., Andrzejewski, D. & Buttler, D. (2012). Exploring topic coherence over many models and many topics. conference on empirical methods in natural language processing and computational natural language learning, 952\u2013961"},{"key":"11817_CR23","doi-asserted-by":"publisher","unstructured":"Subathra, P., & Kumar, P. (2019). Recommending Research Article Based on User Queries Using Latent Dirichlet Allocation. Springer Singapore eBooks, 163\u2013175. https:\/\/doi.org\/10.1007\/978-981-15-2475-2_15","DOI":"10.1007\/978-981-15-2475-2_15"},{"key":"11817_CR24","doi-asserted-by":"crossref","unstructured":"Wang, C. & Blei, D., M. (2011). Collaborative topic modeling for recommending scientific articles.\u00a0Knowledge discovery and data mining, 448\u2013456","DOI":"10.1145\/2020408.2020480"}],"container-title":["Education and Information Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10639-023-11817-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10639-023-11817-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10639-023-11817-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T01:11:45Z","timestamp":1744161105000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10639-023-11817-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,1]]},"references-count":24,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["11817"],"URL":"https:\/\/doi.org\/10.1007\/s10639-023-11817-2","relation":{},"ISSN":["1360-2357","1573-7608"],"issn-type":[{"value":"1360-2357","type":"print"},{"value":"1573-7608","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,1]]},"assertion":[{"value":"14 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 April 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 May 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}