6 ms·

Edit distance of titles?! Do you have a source? I'm very curious about how and why that would help.

• trevelyan 18y ago
  Indiana Jones and the _______________.
  • akd 18y ago
    "Heat" and "WALL-E" have a shorter edit distance between them than any Indiana Jones movies.
    • jsn 18y ago
      not if you normalize by e.g. minimal string length.
• DaniFong 18y ago
  Here's a paper on the BellKor solution, from one of the top teams: http://research.att.com/~volinsky/netflix/ProgressPrize2007BellKorSolution.pdf http://research.att.com/~volinsky/netflix/ProgressPrize2007B...
  • elq 18y ago
    Yehuda later wrote http://glinden.blogspot.com/2008/03/using-imdb-data-for-netflix-prize.html#c4525777289161540480 http://glinden.blogspot.com/2008/03/using-imdb-data-for-netf... and http://hunch.net/?p=331 http://hunch.net/?p=331 that using movie metadata has produced no measurable improvement in RMSE.
    • DaniFong 18y ago
      The crux of the argument though, is that if you have a strong CF model with many many ratings, you don't seem to get much benefit with their approach (linear combination of models). That doesn't mean that metadata can't be useful with a different approach. It also doesn't mean that metadata isn't useful for sparse data: in fact, it's incredibly useful, because you don't have much of anything else.
      • elq 18y ago
        I cannot dispute that metadata can be useful. But it appears, at least for prediction tasks similar to the prize, that an ounce of weak or strong explicit user input is worth a ton of rich implicit data (including item metadata).