{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:30:01Z","timestamp":1781105401960,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10]]},"abstract":"<jats:p>In the last decade, we have seen an increase in the need for interpretable recommendations. Explaining why a product is recommended to a user increases user trust and makes the recommendations more acceptable. The authors propose a personalized explanation generation system, PEREXGEN (personalized explanation generation) that generates personalized explanations for recommender systems using a model-agnostic approach. The proposed model consists of a recommender and an explanation module. Since they implement a model-agnostic approach to generate personalized explanations, they focus more on the explanation module. The explanation module consists of a task-specialized item knowledge graph (TSI-KG) generation from a knowledge base and an explanation generation component. They employ the MovieLens and Wikidata datasets and evaluate the proposed system's model-agnostic properties using conventional and state-of-the-art recommender systems. The user study shows that PEREXGEN generates more persuasive and natural explanations.<\/jats:p>","DOI":"10.4018\/ijmdem.2021100102","type":"journal-article","created":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T08:46:38Z","timestamp":1649061998000},"page":"20-37","source":"Crossref","is-referenced-by-count":2,"title":["Generating Personalized Explanations for Recommender Systems Using a Knowledge Base"],"prefix":"10.4018","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1706-0125","authenticated-orcid":true,"given":"Yuhao","family":"Chen","sequence":"first","affiliation":[{"name":"Tokyo Institute of Technology, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shi-Jun","family":"Luo","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyoil","family":"Han","sequence":"additional","affiliation":[{"name":"Illinois State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Miyazaki","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfrin Letus","family":"Saldanha","sequence":"additional","affiliation":[{"name":"Illinois State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal of Multimedia Data Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=301455","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T08:03:16Z","timestamp":1651824196000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJMDEM.2021100102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":0,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.4018\/ijmdem.2021100102","relation":{},"ISSN":["1947-8534","1947-8542"],"issn-type":[{"value":"1947-8534","type":"print"},{"value":"1947-8542","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10]]}}}