CHORD — Smart On-Device Recommendations Without Killing Your Battery
In apps like online stores, streaming platforms, or social media, we want to show users things they might like — “Hey, maybe you’ll enjoy this too.” That’s what recommendation systems do. Usually, those models live in the cloud — big servers crunch data and send you suggestions. But lately, more and more of that work is moving onto the user’s device (phone, tablet). Why? Because: it’s faster (less waiting), it’s more private (fewer data uploads), it saves server resources. But here’s the catch: devices vary. Some phones are monsters, others barely keep up. So how do you fit a good AI model on both? ...