Name
Abstract | ||
|---|---|---|
Emotions are crucial for user's decision making in recommendation processes. We first introduce ambient recommender systems, which arise from the analysis of new trends on the exploitation of the emotional context in the next generation of recommender systems. We then explain some results of these new trends in real-world applications through the smart prediction assistant (SPA) platform in an intelligent learning guide with more than three million users. While most approaches to recommending have focused on algorithm performance. SPA makes recommendations to users on the basis of emotional information acquired in an incremental way. This article provides a cross-disciplinary perspective to achieve this goal in such recommender systems through a SPA platform. The methodology applied in SPA is the result of a bunch of technology transfer projects for large real-world rccommender systems. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICDEW.2007.4401075 | ICDE Workshops |
Keywords | DocType | ISSN |
emotional information,new trend,recommender system,ambient recommender systems,information filtering,emotional context,recommender systems,large real-world recommender system,embedding emotional context,recommendation processes,emotion recognition,user decision making,information filters,intelligent learning guide,smart prediction assistant,smart prediction assistant platform,spa platform,user modelling,real-world application,adaptive systems,ambient intelligence,artificial intelligence,informatics,pervasive computing,appropriate technology,decision support systems,context modeling,machine learning | Conference | 1943-2895 |
ISBN | Citations | PageRank |
978-1-4244-0832-0 | 11 | 0.74 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gustavo Gonzalez | 1 | 16 | 1.18 |
| Josep Lluis de la Rosa | 2 | 95 | 14.92 |
| Miquel Montaner | 3 | 205 | 23.60 |
| Sonia Delfin | 4 | 16 | 2.09 |