{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T10:55:59Z","timestamp":1778496959820,"version":"3.51.4"},"reference-count":38,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2018,10,18]],"date-time":"2018-10-18T00:00:00Z","timestamp":1539820800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["OIR"],"published-print":{"date-parts":[[2018,10,18]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Generally, the user requires customized information reflecting his\/her current needs and interests that are stored in his\/her profile. There are many sources which may provide beneficial information to enrich the user\u2019s interests such as his\/her social network for recommendation purposes. The proposed approach rests basically on predicting the reliability of the users\u2019 profiles which may contain conflictual interests. The paper aims to discuss this issue.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This approach handles conflicts by detecting the reliability of neighbors\u2019 profiles of a user. The authors consider that these profiles are dependent on one another as they may contain interests that are enriched from non-reliable profiles. The dependency relationship is determined between profiles, each of which contains interests that are structured based on <jats:italic>k<\/jats:italic>-means algorithm. This structure takes into consideration not only the evolutionary aspect of interests but also their semantic relationships.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The proposed approach was validated in a social-learning context as evaluations were conducted on learners who are members of Moodle e-learning system and Delicious social network. The quality of the created interest structure is assessed. Then, the result of the profile reliability is evaluated. The obtained results are satisfactory. These results could promote recommendation systems as the selection of interests that are considered of enrichment depends on the reliability of the profiles where they are stored.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title>\n<jats:p>Some specific limitations are recorded. As the quality of the created interest structure would evolve in order to improve the profile reliability result. In addition, as Delicious is used as a main data source for the learner\u2019s interest enrichment, it was necessary to obtain interests from other sources, such as e-recruitement systems.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This research is among the pioneer papers to combine the semantic as well as the hierarchical structure of interests and conflict resolution based on a profile reliability approach.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/oir-02-2017-0068","type":"journal-article","created":{"date-parts":[[2018,10,18]],"date-time":"2018-10-18T09:33:54Z","timestamp":1539855234000},"page":"433-454","source":"Crossref","is-referenced-by-count":6,"title":["Profile reliability to improve recommendation in social-learning context"],"prefix":"10.1108","volume":"44","author":[{"given":"Corinne Amel","family":"Zayani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leila","family":"Ghorbel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ikram","family":"Amous","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manel","family":"Mezghanni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9","family":"P\u00e9ninou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Florence","family":"S\u00e8des","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"issue":"3","key":"key2020062510440497800_ref001","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3066904","article-title":"A new classification framework to evaluate the entity profiling on the web: past, present and future","volume":"50","year":"2017","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"10","key":"key2020062510440497800_ref002","first-page":"109","article-title":"Recommender systems survey","volume":"46","year":"2013","journal-title":"Knowledge-Based Systems"},{"key":"key2020062510440497800_ref004","first-page":"601","article-title":"Knowledge vault: a web-scale approach to probabilistic knowledge fusion","year":"2014"},{"key":"key2020062510440497800_ref003","doi-asserted-by":"crossref","unstructured":"Dong, X.L., Berti-Equille, L. and Srivastava, D. 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