I have been looking for resources about contextual bandits too . But i failed finding anything good . Closest thing i found was Vowpal wabbit , same as you and same problem - unmaintained . Tried searching hn about bandits but didn't find anything useful either .
I was looking for algorithms that can find new interest of users . I felt like after all these research all i learned is the ancient technique of showing x percent of random items to users .
Do you mean google search liaison ? And for your other part of the comment They don't need statements because quarterly report is up and doing well as seen in the latest report .
I meant your average user can test a handful of sites if they are seo spam or good sites but a single search return 10+ results and even more when a user searches multiple things , multiple times a day . Average user doesn't have the time to test these many websites.
Average serp page has 10 results . What if all 10 matches with your blacklist ? Not to mention you can't do anything if the engine dosen't search deeper .
How many can you block and filter manually ? 10 ? 100 ? 10k ? Who will test sites for the blocklist ? The domain block feature is great but unless it's collaborative listing it's not gonna be super effective.
Yeah . It needs to filter seo optimized articles first and search more niche sites or it will be your average chat gpt with search project from github.
You expressed it perfectly in word which i couldn't. People's hate for algorithm is so weird . Without the algorithm they can never find quality or content they are interest in .
I was looking for algorithms that can find new interest of users . I felt like after all these research all i learned is the ancient technique of showing x percent of random items to users .