arromatic

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 .

Where does it fetch the results from at the first step ? Bing , Google or it's own index ?

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 .

How do ml based search and index based differ ? Can you elaborate more on this ?

Only if openai is willing to play it . If they follow google than seo-llm won't even exist because there will be no need for it.

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.

oh I thought you meant something like commenting under search result links like youtube videos.

I might be mistaken but i think ff mobile does something similar of grouping search session

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.

If they do that , That's a genius idea.

Can you tell me a bit more ? What do you mean by search session ?

I think if they improve the algorithm maybe they can actually present seo free results.