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well it took 10s of second to load very little. tapping on the muesli vs corn flakes comparison gave me no visual feedback to indicate it was ever going to do anything. then it died. when it came back I tried tapping on Visual Studio Code, expecting a page to come up but nothing happened. after enough time to flip back to hn and tap that sentence out (on my phone) and there was a page load happening. another 5s after…
Wow, how convenient that the "community" ranked your own site the "best service"...
Perhaps you should look at how similar projects do it. Platforms like Hupu and Coolapk have public rating features, and users find them easier to understand and use, rather than staring at the current UI unsure how to rate.
If I'm understanding this correctly, you're going to need a LOT of user ratings before the rating content is worthwhile to most people. Maybe focus the site on capturing ratings to start instead of sharing ratings for products that don't have many ratings (visual studio appears to be highest rated product with 2 ratings). If you just showed me two related products and had me click on my favorite, I'd probably do that…
> visual studio appears to be highest rated product with 2 ratings That's why Bayesian average is superior; if you don't have enough ratings you basically get assigned the average for all products (or, likely, all similar products in this case).
One 5 star rating is worse than 1000 4.5 average ratings. There's a few ways to deal with this, Bayesian average is one.
I think for most aggregate ratings, thumbs up/down is all the useful signal you can get. If you're reading a review, it can be useful to see someone say "I gave this 3.5 stars instead of 4 because the last time I went there the fries were cold." However, on aggregate, that distinction becomes almost entirely lost given 1) peoples varying rating schemes (my 4 could be your 3 stars) and 2) often lovers/haters will just give 5/0 stars, drowning out any nuance. That's why Steam and Netflix switched to thumbs up/down.
The categories are wonky--under TV shows I found Netflix, a video game franchise, running shoes (!)... Maybe have user generated tags?
A better AI model could achieve the same result in a few days. Perhaps you should look at how similar projects do it. Platforms like Hupu and Coolapk have public rating features, and users find them easier to understand and use, rather than staring at the current UI unsure how to rate.
A few thoughts: One 5 star rating is worse than 1000 4.5 average ratings. There's a few ways to deal with this, Bayesian average is one. I think for most aggregate ratings, thumbs up/down is all the useful signal you can get. If you're reading a review, it can be useful to see someone say "I gave this 3.5 stars instead of 4 because the last time I went there the fries were cold." However, on aggregate, that distincti…
Earlier quoted context omitted.
> visual studio appears to be highest rated product with 2 ratings That's why Bayesian average is superior; if you don't have enough ratings you basically get assigned the average for all products (or, likely, all similar products in this case).
Good point — implementing Bayesian averaging so low vote entities don't dominate the leaderboard. Cheers
A few thoughts: One 5 star rating is worse than 1000 4.5 average ratings. There's a few ways to deal with this, Bayesian average is one. I think for most aggregate ratings, thumbs up/down is all the useful signal you can get. If you're reading a review, it can be useful to see someone say "I gave this 3.5 stars instead of 4 because the last time I went there the fries were cold." However, on aggregate, that distincti…
Looks done to me, no need to lose more time. Just needs a business model. Best business model for you is "managed content", allow companies to disguise their own ads as ads for your site. I.E. car company pays you to generate a "which is better" between two of their car models and embed it into an ad.
But what if your product loses? Fake votes to make your Ford F-150 win vs a Rivian?