Abstract
The user profile is a way of describing user characteristics using collected information about what the user prefers. However, it cannot be used for other applications with a general purpose, because it is generally created for personal recommendation and search. Furthermore, there are restrictions to analyze the user profile in terms of temporal influence in mobile environments. In this paper, in order to overcome these limitations, we propose a sentiment user profile analysis, which can analyze individual user characteristics based on the forgetting curve in mobile environments. In order to evaluate the effectiveness and feasibility of the proposed analysis, it has been implemented and applied to clothing domain. Experimental results show that the proposed analysis extracts the individual user characteristics with better accuracy than the existing method.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 207-211 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509038466 |
| DOIs | |
| Publication status | Published - 2017 Feb 21 |
| Event | 15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016 - Stanford, United States Duration: 2016 Aug 22 → 2016 Aug 23 |
Other
| Other | 15th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2016 |
|---|---|
| Country | United States |
| City | Stanford |
| Period | 16/8/22 → 16/8/23 |
Keywords
- Forgetting curve
- Sentiment analysis
- Temporal analysis
- User profile
ASJC Scopus subject areas
- Cognitive Neuroscience
- Artificial Intelligence
- Software
- Computer Vision and Pattern Recognition
- Information Systems