One interesting thing that I found with building the recommendation
engine is that
I got much more pleasing results by considering each person's tag
independently
rather than the person as a whole.
However, from a UI standpoint, I'd like to provide people with a way
to get a global view
of who is recommended to them in general, presumably by aggregating
the per-tag
recommendations (currently too slow to be done.)
Another issue I've been thinking about is the notion of influence in
general; how to quantify
the metric in some reasonable way? For example, if an item was posted
10 times, and person X
was first, was he influential? What if the other 9 times were the
same day? Or two weeks laters? What
if 1000 more people were to go on to do it?
I suppose something interesting might occur if you just looked at a
user's urls and score every other user
who bookmarked that URL before them. Alternately a bayesian predictor
to suggest if person X posts
something, person Y is likely to.
Shame about all the I/O this would take up. Probably time to order
more servers anyway.
Joshua
On Dec 5, 2005, at 11:25 AM, Chris Lott wrote:
On 12/5/05, Brian Del Vecchio <[EMAIL PROTECTED]> wrote:
I'd rather have
tools that help me sift through the river for valuable items. I find
the recommendations very useful, and would love to see more work like
this.
I agree. I'm not interested in "who is the most influential" though I
am VERY interested in "who is the most influential when related to
Chris' links." The former is a game, the latter is a tool for finding
new information. One of the reasons I have stayed with del.icio.us is
that I have a fair amount of trust that Joshua wants to focus on the
usefulness and leverage of the social network effects to uncover and
recover information.
c
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joshua schachter
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