The amazon-for-source is a cool idea that could also be applied to navigating docs. It's a 1st order Markov process (predicting the next link based on the current link), but could be extended to 2nd order (predicting the next link based on how you got to the current link), or nth order, of course. This context might capture the reason you were looking at the current page. We could do a little statistical AI, and combine the predictions of different sequences that are similar enough.
The problem that source is changed (unlike books) as it is fixed/refactored/deleted, probably wouldn't hurt much.
True. There are a couple of good papers published on the concept of digital/computational wear, which is the basis for social filtering, that deal with document navigation.
Comments
The amazon-for-source is a cool idea that could also be applied to navigating docs. It's a 1st order Markov process (predicting the next link based on the current link), but could be extended to 2nd order (predicting the next link based on how you got to the current link), or nth order, of course. This context might capture the reason you were looking at the current page. We could do a little statistical AI, and combine the predictions of different sequences that are similar enough.
The problem that source is changed (unlike books) as it is fixed/refactored/deleted, probably wouldn't hurt much.
True. There are a couple of good papers published on the concept of digital/computational wear, which is the basis for social filtering, that deal with document navigation.