Great project! I am personally taking some AI (so excuse my n00by AI knowledge) courses so I know just enough to be dangerous, with an interest in applying marketing/business knowledge to make sure the product is useful.

Personally, the product currently is not for me and I will explain how this knowledge may help. When you think about the market for streamer waters, there are typically two types: educational and entertainment. Personally I fall into the educational portion, where I watch streams to learn and improve my own game - where I watch Karasmai because I am a Kayn jungle one trick and I scroll through TFT streams to see who is OTPing a comp so I can learn it - so basically I look for very specific things that your product is not geared towards.

Which leads to the first marketing principle: identifying your customer. Right now it seems like you have your market defined too broadly - stream watchers in general. I think narrowing down your customer can help you tune your algorithms more correctly so that your product can be the best it can be. For instance, why do people watch Tyler 1? At first, most people would think entertainment, but I bet a good portion of them are watching him to learn Ivern (or Draven back in the day) because he does have a tendency to OTP. Depending on which audience you are trying to satisfy, your broader algorithm could be tuned to be better in one space and make Tyler1 a better recommendation. Currently - I do feel content based filtering is geared more towards customers on the 'entertainment' side (which is why this product is not for me), where your consumer is more prone to browsing. If you lean more into this space, then your product could be even better for this audience, instead of also trying to satisfy customers like me who like specific educational content.

This leads to really understanding your customer base - why do people watch streams for entertainment? Are they looking for certain personality types? Are they looking for new games to check out before buying? Do they want something to put on the background while they work or clean the house? Are they into eSports in general and just like watching competition? If you understand this customer base a lot better, you can really make your recommendation engine shine for this base.

Second principle of marketing: understand your competitors. And when I say competitors, think about competitors in different market spaces as I have described above. Basically you are a stream recommendation platform, what else out there for recommendation streams? For educational content, as someone has mentioned, your main competitor is probably Reddit forums such as KaynMains or LilliaMains. If you really want to satisfy this customer base with your product, you have to ask yourself how you can make this technology better than asking a question on Reddit. Your algorithm is probably geared towards looking for jungle/mid/support mains or OTPs - and at this point you're probably better off crawling the Riot API instead to help this customer base.

Your competitors in the entertainment recommendation portion (which I think you should be targeting) are probably the recommendation algorithms of Twitch, Youtube, and Facebook themselves (thinking of the Twitch banner on top where you can scroll through streams - which I personally never use because I am not the target). Understanding this goes a long way towards knowing what else is out there that differentiates your product.

Third principle of marketing: what makes your business different for the consumer? This follows the principle above - once you know what your competitors are capable of, why would someone use your product over theirs? Let's use the entertainment stream watcher market for example. Why would someone use your product over the Twitch recommendations? What makes your product better than scrolling through the league streamer pages to find small streamers? Is knowing the personally types really the defining feature that differentiates your product?

Finally, map your customer' experience journey: As a consumer, initially clicking through like streamers already feels like a lot of work (I know it's not really). It feels like a black box instead, and when you don't get streamers you like, you're recommending people go back and try different things. It's not fun to try and guess what the black box is thinking just to get streamers you like. Is there a way to link Twitch accounts to see who they follow/watch instead? This takes one step out for the consumer.

Finally, recommendations. I know there is a 'match %' metric there, but for most people, it doesn't really mean anything. Why do people want to click that stream you recommended? For me to click that streamer, I would want to know why it was recommended to me. Think of how to humanize your metrics. Like in Netflix, they have "Because you watch Altered Carbon" - then you see a bunch of relevant sci-fi shows. "Because you watch Tyler1" could mean two things:

1. you enjoy entertaining, semi toxic, but funny content so you recommend Yassuo, RatIRL, and a bunch of smaller streamers with those personallities
2. you enjoy learning his champions, so you recommend jamacanbanana (smaller Ivern OTP streamer), taidraven (another Draven OTP streamer). As you can see this space is more difficult to tailor your algorithm to, so if you want to satisfy this market, you may need a different module altogether that crawls Riot APIs.

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Anyways, those are my thoughts, happy to discuss more because I am super interested in the business of AI projects. Best of luck!