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Any chance to see it used here? Another menu at the top: recommended?

by gaika 19y ago

technoguyrob 19y ago
The Netflix prize algorithms rely heavily on large amounts of data (thousands of votes per movie). It might be useful for Reddit and Digg as each story gets votes in the 3-5 digits, but not so much for this site. Of course, it would definitely be something, but I don't think it would be as useful. Not to mention, the Netflix data has a scale of 1-5. Digg-like sites have scales from 0-1 (no vote, or vote), so that might further dilute the quality.
- gaika 19y ago
  Popular stuff is easy to predict, it is the users with little feedback and less popular movies that make all the difference. Digg doesn't need a recommender because it is all about popularity, and if you do not like it - do not go there. I also want to go back to see the best stories on news.YC before I joined and I do not see a way to do that.
  - neilc 19y ago
    Yeah, I've often thought that the ability to see historical YC news stories would be very useful -- both for the period before a user joined the site, as well as when you miss a week or two because of vacation, illness, etc.
    - gaika 19y ago
      For that you can use http://www.aiderss.com/best/news.ycombinator.com http://www.aiderss.com/best/news.ycombinator.com , it is filtered based on popularity
hashbucket 19y ago
I have written a social news site which you might be interested in: http://news.ycombinator.com/item?id=135495 http://news.ycombinator.com/item?id=135495
- gaika 19y ago
  Congratulations, I have written one too, what a coincidence (sarcasm directed towards situation, not the person). I bet most of the people reading this thread have done something around netflix results :)
antiismist 19y ago
Having a "recommended" link is a hard problem for news sites like this one. If you have a well defined category then there are lots of techniques that will give you good results. At a place like this, people are looking for "interesting tech articles", which is a really vague thing. Also, interesting articles tend to be things that you haven't seen before. So it is hard to build up a training set for that.

Any chance to see it used here? Another menu at the top: recommended?

by gaika 19y ago

Any chance to see it used here? Another menu at the top: recommended?

The Netflix prize algorithms rely heavily on large amounts of data (thousands of votes per movie). It might be useful for Reddit and Digg as each story gets votes in the 3-5 digits, but not so much for this site. Of course, it would definitely be something, but I don't think it would be as useful. Not to mention, the Netflix data has a scale of 1-5. Digg-like sites have scales from 0-1 (no vote, or vote), so that might further dilute the quality.

gaika 19y ago
Popular stuff is easy to predict, it is the users with little feedback and less popular movies that make all the difference. Digg doesn't need a recommender because it is all about popularity, and if you do not like it - do not go there. I also want to go back to see the best stories on news.YC before I joined and I do not see a way to do that.
- neilc 19y ago
  Yeah, I've often thought that the ability to see historical YC news stories would be very useful -- both for the period before a user joined the site, as well as when you miss a week or two because of vacation, illness, etc.
  - gaika 19y ago
    For that you can use http://www.aiderss.com/best/news.ycombinator.com http://www.aiderss.com/best/news.ycombinator.com , it is filtered based on popularity

hashbucket 19y ago

I have written a social news site which you might be interested in: http://news.ycombinator.com/item?id=135495 http://news.ycombinator.com/item?id=135495

gaika 19y ago
Congratulations, I have written one too, what a coincidence (sarcasm directed towards situation, not the person). I bet most of the people reading this thread have done something around netflix results :)

antiismist 19y ago

Having a "recommended" link is a hard problem for news sites like this one. If you have a well defined category then there are lots of techniques that will give you good results. At a place like this, people are looking for "interesting tech articles", which is a really vague thing. Also, interesting articles tend to be things that you haven't seen before. So it is hard to build up a training set for that.