Awesome stuff!
I tried a couple of searches, and the search ranking looks decently good (at first glance, atleast).
I also like the fading of text as the results become less relevant.
What kind of relevance algorithms are you using? Since this site is targeted at hackers, who tend to like more control, you could expose some of the parameters and allow users to tweak their relevance.
For instance, sliders that let you determine the importance of article age, # of comments in the article, karma points of article, avg karma points of readers, and of course the pattern match counts...
I tried a couple of searches, and the search ranking looks decently good (at first glance, atleast).
Its based solely upon the text in the comment thread. I was actually pretty surprised this worked as well as it did. I am currently crawling outlinks, which should hopefully improve relevancy even more, as well as discover more topics.
Since this site is targeted at hackers, who tend to like more control, you could expose some of the parameters and allow users to tweak their relevance.
Rather than drilling specifically into Hacker News, I'm more interested in exposing functionality to other hackers by building an API that will allow them to auto-organize their sites too. The one issue is that indexing is a batch, off-line process, and most APIs are built in a real-time, on-demand setting.
I also like the fading of text as the results become less relevant.
What kind of relevance algorithms are you using? Since this site is targeted at hackers, who tend to like more control, you could expose some of the parameters and allow users to tweak their relevance.
For instance, sliders that let you determine the importance of article age, # of comments in the article, karma points of article, avg karma points of readers, and of course the pattern match counts...