Twitter Recommendation Engine: Part 2

Last summer I built a little recommendation engine for people to follow on Twitter.  I’ve been meaning to build a new one since Twitter added the ability for users to group people into lists.  Well, this past week I finally found some time to give it a try.  For comparison, here’s my new top 40 suggestions (again, *’s are people that I don’t currently follow):

google
BillGates
TechCrunch *
twitter
mashable *
timoreilly
kevinrose
googlewave *
GoogleCode
twibes *
googleresearch
ev *
rww *
jeresig
wired *
biz *
Veronica
cnnbrk
gigaom
donttrythis
bramcohen
Pogue *
al3x *
GuyKawasaki *
techreview
Scobleizer *
googleapps *
googlereader *
twitterapi
googlemaps *
mccv
waxpancake
wilw *
WardCunningham
ginatrapani *
gvanrossum
NASA *
zefrank
alleyinsider
newscientist

I can also target specific users.

Followers of John Resig (jQuery) might like:

codinghorror
kevinrose
kevinmarks
spolsky
yahoo
dondodge
stephensaber
scottdlowe
adenhepburn
ryan

Followers of Chris Blizzard (Mozilla) might like:

BillGates
ioerror
beltzner
GoogleCode
BoingBoing
grantbow
Ben_Teitelbaum
googlemaps
googleapps
mozillaweb

Honestly, it’s not as good as I expected. Just glancing over the results, I don’t think it’s as good as the follower based version from last year.  Part of the problem could be list spammers, part could be that I don’t do anything do dilute the influence of people that create a lot of very broad lists, and part could be that Twitter has changed.  I’d really like to try a blended version that uses both lists and followers.