Information Retrieval eXperience (IRX): Towards a human-centered personalized model of relevance

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

We approach Information Retrieval (IR) from a User eXperience (UX) perspective. Through introducing a model for Information Retrieval eXperience (IRX), this paper operationalizes a perspective on IR that reaches beyond topicality. Based on a document's topicality, complexity, and emotional value, a model of relevance is proposed to influence user's IRX and, consequently, the synthesis and use of the retrieved information. Additionally, methods are discussed to assess UX through interaction and feedback mechanisms. As such, the proposed multi-dimensional IRX model is highly user-dependent and determines document's relevance from a non-traditional human-centered, personalized perspective on IR.

OriginalsprogEngelsk
TitelProceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010
Antal sider4
Publikationsdato2010
Sider322-325
Artikelnummer5614735
ISBN (Trykt)9780769541914
DOI
StatusUdgivet - 2010
Begivenhed2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010 - Toronto, ON, Canada
Varighed: 31 aug. 20103 sep. 2010

Konference

Konference2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010
LandCanada
ByToronto, ON
Periode31/08/201003/09/2010
SponsorIEEE Computer Society, Web Intelligence Consortium (WIC), Association for Computing Machinery (ACM), GenieKnows.com, Infobright
NavnProceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010

ID: 337216207