Information Retrieval eXperience (IRX): Towards a human-centered personalized model of relevance
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
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Title of host publication | Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010 |
Number of pages | 4 |
Publication date | 2010 |
Pages | 322-325 |
Article number | 5614735 |
ISBN (Print) | 9780769541914 |
DOIs | |
Publication status | Published - 2010 |
Event | 2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010 - Toronto, ON, Canada Duration: 31 Aug 2010 → 3 Sep 2010 |
Conference
Conference | 2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010 |
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Land | Canada |
By | Toronto, ON |
Periode | 31/08/2010 → 03/09/2010 |
Sponsor | IEEE Computer Society, Web Intelligence Consortium (WIC), Association for Computing Machinery (ACM), GenieKnows.com, Infobright |
Series | Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010 |
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- Emotion, Human-centered, Information Retrieval (IR), Personalization, Relevance, User eXperience (UX)
Research areas
ID: 337216207