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.
|Name||Lecture Notes in Engineering and Computer Science|
|Conference||2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017|
|Period||15/03/17 → 17/03/17|