{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T13:59:42Z","timestamp":1773323982433,"version":"3.50.1"},"reference-count":20,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2015,8,4]],"date-time":"2015-08-04T00:00:00Z","timestamp":1438646400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2013M540789"],"award-info":[{"award-number":["2013M540789"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005024","name":"Beijing Postdoctoral Research Foundation","doi-asserted-by":"publisher","award":["2013"],"award-info":[{"award-number":["2013"]}],"id":[{"id":"10.13039\/501100005024","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Digital publishing resources contain a lot of useful and authoritative knowledge. It may be necessary to reorganize the resources by concepts and recommend the related concepts for e-learning. A recommender system is presented in this paper based on the semantic relatedness of concepts computed by texts from digital publishing resources. Firstly, concepts are extracted from encyclopedias. Information in digital publishing resources is then reorganized by concepts. Secondly, concept vectors are generated by  skip-gram model and semantic relatedness between concepts is measured according to the concept vectors. As a result, the related concepts and associated information can be recommended to users by the semantic relatedness for learning or reading. History data or users\u2019 preferences data are not needed for recommendation in a specific domain. The technique may not be language-specific. The method shows potential usability for e-learning in a specific domain.<\/jats:p>","DOI":"10.3390\/info6030443","type":"journal-article","created":{"date-parts":[[2015,8,5]],"date-time":"2015-08-05T03:18:55Z","timestamp":1438744735000},"page":"443-453","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Recommender System for E-Learning Based on Semantic Relatedness of Concepts"],"prefix":"10.3390","volume":"6","author":[{"given":"Mao","family":"Ye","sequence":"first","affiliation":[{"name":"State Key Laboratory of Digital Publishing Technology (Peking University Founder Group Co. Ltd.), Beijing 100089, China"},{"name":"Postdoctoral Workstation of the Zhongguancun Haidian Science Park, Beijing 100089, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Tang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Digital Publishing Technology (Peking University Founder Group Co. Ltd.), Beijing 100089, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianbo","family":"Xu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Digital Publishing Technology (Peking University Founder Group Co. Ltd.), Beijing 100089, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lifeng","family":"Jin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Digital Publishing Technology (Peking University Founder Group Co. Ltd.), Beijing 100089, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,8,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1109\/TLT.2012.11","article-title":"Context-aware Recommender Systems for Learning: A Survey and Future Challenges","volume":"5","author":"Verbert","year":"2012","journal-title":"IEEE Trans. Learn. Technol."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Manouselis, N., Drachsler, H., Verbert, K., and Duval, E. (2013). 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Proceedings of the AAAI, New York, NY, USA."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/6\/3\/443\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:50:12Z","timestamp":1760215812000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/6\/3\/443"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,4]]},"references-count":20,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2015,9]]}},"alternative-id":["info6030443"],"URL":"https:\/\/doi.org\/10.3390\/info6030443","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,8,4]]}}}