Abstract
As widely recognized, there is more to relevance than topicality. By looking at the user experience of Information Retrieval (IR), this proposal takes a broader perspective on relevance. Several facets of relevance are structured according to how the user will experience an information object. In particular, the antecedents and consequences of positive affect are discussed. The consequences of positive affect are related to the goal of an IR system, whereas features to derive the antecedents of positive affect from information objects are proposed. The features are combined in a model of relevance, consisting of three factors: topicality, understandability, and affective value. Moreover, it is discussed how the model can be evaluated through methods based on user studies.
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings of the 33rd Annual ACM SIGIR Conference |
| Editors | Hsin-Hsi Chen, Efthimis N. Efthimiadis, Jacques Savoy, Fabio Crestani, Stephane Marchand-Maillet |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery |
| Pages | 924-924 |
| Number of pages | 1 |
| ISBN (Print) | 978-1-4503-0153-4 |
| DOIs | |
| Publication status | Published - 19 Jul 2010 |
| Event | 33rd Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010 - Geneva, Switzerland Duration: 19 Jul 2010 → 23 Jul 2010 Conference number: 33 |
Publication series
| Name | |
|---|---|
| Publisher | ACM |
Conference
| Conference | 33rd Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010 |
|---|---|
| Abbreviated title | SIGIR |
| Country/Territory | Switzerland |
| City | Geneva |
| Period | 19/07/10 → 23/07/10 |
Keywords
- METIS-275629
- Algorithms
- Experimentation
- IR-72524
- Relevance
- HMI-HF: Human Factors
- Human Factors
- EWI-18270
- Positive Affect
- HMI-SLT: Speech and Language Technology
- HMI-IE: Information Engineering
- User Experience