mlent
Born on October 12, 2012•361 Karma
not sure about the sites linked, but i reject sites that are low quality and filled with aggressive ads!
Glad you enjoy it, and yes, the goal is to make it easier to find blogs from individuals. I don't reject sites hosted on 3rd party platforms, but I do encourage people to post their own domain name when possible.
Cheers!
I found it similarly irritating while sourcing the data that all the top 10 google results recycled the same, outdated recommendations.
Do you mean you'd like a central place to discover individual's curated list of blogs they read? Like blogrolls?
Yeah it's kinda meant to be like its own mini site. But if you click the logo at the top, it does take you to the root homepage :)
Adding a light mode is on the backlog, thanks for the suggestion! I need to remove a few hard-coded CSS values first ;)
what I didn't expect about that site is that it gets shared A LOT on twitter. still trying to refine the algorithm :)
thanks a ton for checking it out and sharing your feedback!
as you suggested though, i didn't know the ML space enough to know that Machine Learning Mastery publishes daily and has an army of people who like and retweet ANYTHING they publish.
so it makes me wonder if i need to have some kind of dampening effect or how i can adapt the algorithm to handle that.
Let's take Stack Overflow as an example. Jeff found a small group of experts and expanded it. They seeded both questions and answers. They didn't bring on just one or two experts though, they brought on enough to ensure a good distribution (not perfect) of viewpoints and then reviewed before expansion. They kept repeating this and didn't optimize for just one kind of developer (Django over Java.) All segments of developers tended to need the same features, but it would show up with one segment first. Getting answers on some topics wasn't possible until the product was more mature. Kill crap ruthlessly like SO did with downvoting and moderator-led deletion.
If you are building an ML model then you are going to need to find a range of experts and either seed from what they are sharing, or create a review system. You can reward people with kudos on a contribution page, donations to open source projects or charities (even on behalf of a group of them), or find another way to motivate them. It just needs some hustle, but you've got to forget about purity, be open about how your model works, and iterate.
Perhaps not a straight ascending or descending by frequency. For me, the sweet spot seems to be no more than once a month. More if it's one that does something like a weekly post aggregating interesting articles from other blogs.
Gives people more control over their personal "algorithm" and what they value most when reading personal blogs.
Hadn't thought about frequency but that could definitely be something you could automate based on RSS. Thanks for the idea!
I'd possibly put a shared blog under a similar category as the ones with weekly roundups. Which is exactly why I threw out that example - I don't want hard-and-fast Google-style rules, because I would expect that to work out about as well as hard-and-fast Google-style rules ever does.