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Towards Context-aware Recommender Systems for Supporting Knowledge Workers in Personal and Corporate Information Space

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dc.contributor.authorBakhshizadeh, Mahta
dc.contributor.authorJilek, Christian
dc.contributor.authorMaus, Heiko
dc.contributor.authorDengel, Andreas
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:12Z
dc.date.available2024-10-21T18:24:12Z
dc.date.issued2024
dc.description.abstractAlthough recommender systems have been impressively progressing in many domains, their usage in supporting knowledge workers has not been explored as much as in other applications. Having the existing challenges and the recent studies addressing this novel application introduced, this paper provides a framework for integrating such systems into existing concepts and technologies for knowledge assistance. As a case study, a sample recommendation scenario according to the proposed framework is simulated on the historical data of a small group of knowledge workers. The collected explicit feedback of participants on the made recommendations from both their personal and corporate information space indicate that while the approach is promising (with 54% accuracy in recommending relevant information items), there is still considerable potential for improvement in filtering out noise and better modeling user contexts and information needs.en
dc.identifier.doi10.18420/inf2024_116
dc.identifier.isbn978-3-88579-746-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45088
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectRecommender systems
dc.subjectContext awareness
dc.subjectKnowledge work support
dc.subjectCorporate memory
dc.subjectKnowledge assistance
dc.subjectPersonal information management
dc.titleTowards Context-aware Recommender Systems for Supporting Knowledge Workers in Personal and Corporate Information Spaceen
dc.typeText/Conference Paper
gi.citation.endPage1332
gi.citation.publisherPlaceBonn
gi.citation.startPage1323
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitleAI@WORK

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