Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: High quality video streaming over cellular networks is expensive for users and often limited by data caps. Offloading the traffic over other cheap wireless networks, e.g. WLAN, would be beneficial hover they are often not available for mobile streaming sessions. A potential solution is to load video to a mobile device before the user accesses it, which is called prefetching. Prefetching requires indicators to perform a prediction what a single user is going to watch in the future. This prediction determines which videos are loaded to the users' mobile device.  leverage recommender systems of the video sharing site YouTube to design and evaluate mobile prefetching algorithms. A user study has been performed over a month in which users' YouTube accesses re supported by our prefetching algorithms which allod for significant reductions in data usage on mobile networks while having a low computational overhead.
['Stefan Wilk', 'Dominik Schreiber', 'Denny Stohr', 'Wolfgang Effelsberg']
I am writing a research paper on a idea On the effectiveness of video prefetching relying on recommender systems for mobile devices
[{"from": "human", "value": "I am writing a research paper on a idea On the effectiveness of video prefetching relying on recommender systems for mobile devices"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: High quality video streaming over cellular networks is expensive for users and often limited by data caps. Offloading the traffic over other cheap wireless networks, e.g. WLAN, would be beneficial hover they are often not available for mobile streaming sessions. A potential solution is to load video to a mobile device before the user accesses it, which is called prefetching. Prefetching requires indicators to perform a prediction what a single user is going to watch in the future. This prediction determines which videos are loaded to the users' mobile device.  leverage recommender systems of the video sharing site YouTube to design and evaluate mobile prefetching algorithms. A user study has been performed over a month in which users' YouTube accesses re supported by our prefetching algorithms which allod for significant reductions in data usage on mobile networks while having a low computational overhead."}]