Name
Title | ||
|---|---|---|
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems |
Abstract | ||
|---|---|---|
Acquiring relevant information to keep user's preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a suitable approach for non-intrusively closing the loop in recommender systems using ambient eye-trackers. We combine a method for acquiring relevance feedback through eye-tracking with the functionalities of an extractor agent. We describe the results of experiments conducted in a recommender system to obtain implicit feedback using eye fixations. Finally, we obtain a ranking of user's most relevant preferences and behaviours. |
Year | Venue | Keywords |
|---|---|---|
2005 | CCIA | suitable approach,ambient eye-trackers,acquiring unobtrusive relevance feedback,ambient recommender systems,ambient intelligence,recommender system,relevant information,implicit feedback,eye fixation,relevance feedback,extractor agent,relevant preference,eye tracking |
Field | DocType | Volume |
Recommender system,Fixation (psychology),Relevance feedback,Ranking,Computer science,Ambient intelligence,Human–computer interaction,Eye tracking,Extractor,Multimedia | Conference | 131 |
ISSN | ISBN | Citations |
0922-6389 | 1-58603-560-6 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gustavo González | 1 | 19 | 2.60 |
| Beatriz López | 2 | 319 | 42.30 |
| Cecilio Angulo | 3 | 434 | 57.48 |
| Josep Lluís De La Rosa | 4 | 260 | 41.38 |