Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 15th International Conference on Intelligent User Interfaces |
| Publisher | ACM |
| Pages | 389-392 |
| Number of pages | 4 |
| ISBN (Print) | 9781605585154 |
| DOIs | |
| Publication status | Published - 2010 |
Keywords
- video retrieval
- user interfaces
Cite this
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A multi faceted recommendation approach for explorative video retrieval tasks. / Vallet, David; Halvey, Martin; Hannah, David; Jose, Joemon M.
Proceedings of the 15th International Conference on Intelligent User Interfaces . ACM, 2010. p. 389-392 .Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A multi faceted recommendation approach for explorative video retrieval tasks
AU - Vallet, David
AU - Halvey, Martin
AU - Hannah, David
AU - Jose, Joemon M.
PY - 2010
Y1 - 2010
N2 - In this paper we examine the use of multi faceted recommendations to aid users while carrying out exploratory video retrieval tasks. These recommendations are integrated into ViGOR (Video Grouping, Organisation and Retrieval), a system which employs grouping techniques to facilitate video retrieval tasks. Two types of recommendations based on past usage history are utilised, the first attempts to couple the multi-faceted nature of explorative video retrieval tasks with the current user interests in order to provide global recommendations, while the second exploits the organisational features of ViGOR in order to provide recommendations based on a specific aspect of the user's task.
AB - In this paper we examine the use of multi faceted recommendations to aid users while carrying out exploratory video retrieval tasks. These recommendations are integrated into ViGOR (Video Grouping, Organisation and Retrieval), a system which employs grouping techniques to facilitate video retrieval tasks. Two types of recommendations based on past usage history are utilised, the first attempts to couple the multi-faceted nature of explorative video retrieval tasks with the current user interests in order to provide global recommendations, while the second exploits the organisational features of ViGOR in order to provide recommendations based on a specific aspect of the user's task.
KW - video retrieval
KW - user interfaces
U2 - 10.1145/1719970.1720038
DO - 10.1145/1719970.1720038
M3 - Conference contribution
SN - 9781605585154
SP - 389
EP - 392
BT - Proceedings of the 15th International Conference on Intelligent User Interfaces
PB - ACM
ER -