Some readers cannot detect duplicated posts.
I think filtering is probably the way to go in this case. Instead of detecting duplicates the reader should allow you to filter out all stories tagged "iPhone4".
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Some readers cannot detect duplicated posts.
I think filtering is probably the way to go in this case. Instead of detecting duplicates the reader should allow you to filter out all stories tagged "iPhone4".
EarlyEdd is the RSS reader that shapes on your interests. It discovers people reading pretty much the same stuff as you do (the fellows), and it compiles a relevant news edition especially for you. Give it a try ;)
I think I created a very nice feed reading experience with NewsBlur: http://www.newsblur.com . It shows the original site, allows you to read as you normally would, but keeps track of the stories you're scrolling past. It also allows you to filter stories based on what you like and dislike about them: words/phrases in the title, tags and categories, authors, and the publisher themselves. There is a slider that allows…
But there are few tiny details I hope will be fixed soon: The "Original" tab is the default one - which slows down the whole thing if I open some content-heavy site, and the reason why I use feed readers in first place is not to have to watch those horrible sites at all, so it would be nice if we could change the default view.
The other thing is that there is no way to change the folder to which certain feed belongs. As well as someone before me commented, you can't delete feeds either.
I use and love Google Reader. I use the List mode (as opposed to Expanded) and my work flow is the same whether I'm at my desktop, iPhone, iPad, or Blackberry. A handful of feeds I insist on reading everything, which means I hit J-J-J-J to get through them all. But most I merely skim the unread titles for things that look interesting, and when I'm done I hit Mark As Read to clean up the rest. I like how I can do this…
I do monitor some high-volume feeds (HN among them) and I skim the feed then share the good stuff that I think my contacts will like. I star things that I want to revisit and permanently bookmark stuff that's highly relevant to my work or hobbies, genuinely awesome or fascinating.
Sit down and really write out your requirements. Two things will emerge from that exercise: 1. there probably is in fact a reader out there that meets it, you just haven't found it yet or 2. your requirements require solving the AI-complete problem of perfectly determining what you are interested in. Generally I find most people slot into #2. I am not kidding. I've been listening to this complaint for about 8 years n…
It only involves matching patterns to key-words. It might not be easy and the results might not be perfect but it seems possible. Using data from friends and finding the best correlates could help too. You could use the Netflix algorithm or other magic.
I suspect that's why today's readers don't satisfy - they aren't there yet and it's easy to imagine they could be.
Sit down and really write out your requirements. Two things will emerge from that exercise: 1. there probably is in fact a reader out there that meets it, you just haven't found it yet or 2. your requirements require solving the AI-complete problem of perfectly determining what you are interested in. Generally I find most people slot into #2. I am not kidding. I've been listening to this complaint for about 8 years n…
The problem of reasonably determining what someone is interested in from what they've previously read, skimmed and skipped shouldn't be "AI complete." It only involves matching patterns to key-words. It might not be easy and the results might not be perfect but it seems possible. Using data from friends and finding the best correlates could help too. You could use the Netflix algorithm or other magic. I suspect that'…
"It only involves matching patterns to key-words." False. Recommendation might be far trickier.
Nonetheless, if you can do recommendation perfectly, it still doesn't mean that you can solve NLP, machine vision, control (robotics), planning, or any of the other major AI tasks.