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The reinforcement learning algorithm of facebook, instagram, youtube, tik-tok needs to move at the edge for that to happen. Nowadays, this seems much more proba
by emporas 3y ago
The reinforcement learning algorithm of facebook, instagram, youtube, tik-tok needs to move at the edge for that to happen. Nowadays, this seems much more probable than any other time in history, i.e last 15 years.
Personal recommendation algorithms using RL, are certainly possible, because RL is the least computationally intensive training, compared to supervised, unsupervised etc. They also require some kind of social structure, but that will be setup on a blockchain, in an totally open and transparent way, yet private.
- realusername 3y agoTikTok is actually the only one from your list which gives a real chance to newcomers through the algorithm. That's also one of the reasons why the app is popular, the algorithm is just very different from anything else.
- arromatic 3y agoCan you tell me more ? I have a lot of interest in recommendation algorithoms .
- arromatic 3y agoCan you tell me more about it . I am interest to attempt it on a small scale even though i have no experince in ai or rl . Do you have any resource for beginners ?
- emporas 3y agoIn my experience, medium has a lot of resources about Deep Learning written by different users, and they implemented as a company a recommendation algorithm for their articles, which i liked it very much. With just a google search i did, medium + recommendation algorithm this article appeared [1]. Also if you haven't tried medium's recommendation engine, i strongly suggest making an account and ticking a box somewhere for email recommendations. [1] https://utsavdesai26.medium.com/recommendation-systems-explained-understanding-the-basic-to-advance-43a5fce77c47 https://utsavdesai26.medium.com/recommendation-systems-expla...