In collaboration with: Watch IT platform
Team members:
| Name | Mobile | University Email | Personal Email | CV |
Amr Sherif Ahmed |
01001855728 | [email protected] | [email protected] | click here |
Youssef Mohamed Roshdy |
012079955558 | [email protected] | [email protected] | click here |
Foad Osama Elamoury |
01121555635 | [email protected] | [email protected] | click here |
Ali Mohamed Mekawy |
01100160804 | [email protected] | [email protected] | click here |
Supervisors:
| Name | |
| Dr.Walaa H.Ashmawy | [email protected] |
| Eng.Mennah M.Hassan | [email protected] |
Project Description:
Videos recommended to users on many streaming platforms based on some algorithms and calculations, Feature Extraction is our idea to recommend videos to the users which improve the accuracy and solve some problems
in those calculations the platforms used, also our plugin-tool uses as a search tool so the user can search by entering the videos he’s interested in and then the system recommended a list of videos depend on what he inserts.
- SRS (Software Requirement Specification Document)
- SDD (Software Design Document)
- Final Thesis
Documents:
- Proposal
- SRS (Software Requirement Specification Document)
- SDD (Software Design Document)
- Final Thesis
Published Paper:
- A.Mohamed, A. Sherif, F. Osama, Y. Roshdy, M. A. Hassan and W. H. El Ashmawi, “A new challenge on video recommendation by content,” 2019 14th International Conference on Computer Engineering and Systems (ICCES), Cairo, Egypt, 2019, pp. 336-341.10.1109/ICCES48960.2019.9068169
Paper link: https://ieeexplore.ieee.org/document/9068169
- A.Mohamed, A. Sherif, F. Osama, Y. Roshdy, M. A. Hassan, and W. H. El Ashmawi, “An Efficient Content-Based Video Recommendation,” The paper have been submitted to Springer (Multimedia Tools and Applications Journal).
Paper link: Very Soon!
Competition:
- Dell Envision The Future
Demo: