Abstract
Because of the overload of information, it is necessary for online video websites to develop effective recommendation systems to help video users find out the videos of interest efficiently. Furthermore, due to the lack of explicit feedback, implicit feedback will play an important role in the development of video recommendation systems. Based on past research, this paper tries to discover the implicit interest indicators that can indicate video users’ interest based on gender. These implicit interest indicators are broadly comprised of cursor movements, scrolling activities and mouse speed.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017 |
| Editors | Oscar Castillo, S. I. Ao, Craig Douglas, David Dagan Feng, A. M. Korsunsky |
| Publisher | Newswood Limited |
| Pages | 723-727 |
| Number of pages | 5 |
| ISBN (Electronic) | 9789881404770 |
| Publication status | Published - 2017 |
| Event | 2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 - Hong Kong, Hong Kong Duration: 15 Mar 2017 → 17 Mar 2017 |
Publication series
| Name | Lecture Notes in Engineering and Computer Science |
|---|---|
| Volume | 2228 |
| ISSN (Print) | 2078-0958 |
Conference
| Conference | 2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017 |
|---|---|
| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 15/03/17 → 17/03/17 |
Keywords
- Implicit feedback
- Recommendation systems
- User interest
Cite this
Zhang, J. H., Chong, W., Liu, O., & Man, K. L. (2017). Improving Video Recommendation Systems from Implicit Feedback in the E-marketing Environment. In O. Castillo, S. I. Ao, C. Douglas, D. D. Feng, & A. M. Korsunsky (Eds.), Proceedings of the International MultiConference of Engineers and Computer Scientists 2017, IMECS 2017 (pp. 723-727). (Lecture Notes in Engineering and Computer Science; Vol. 2228). Newswood Limited.