« Joi: Are Blogs Just? |
Main
| Cameron on Powerlaws at MIT »
January 6, 2004
Stowe on Eurekster and social networks
Posted by Clay Shirky
Next door at Get Real, Stowe Boyd has a post on
Eurekster, a search engine designed to filter results through the interests of your friends as well, setting a social context for the results.
Stowe is interested but skeptical:
[...] I really need to be able to partition the network into discrete subnetworks: what are my social software buddies looking at today? What about my personal friends? What about people in the 20194 area? Until social networks attack this angle, we will be dealing with a very coarse-grained approximation for what is actually going on in social interactions.
Comments (2)
+ TrackBacks (0) | Category: social software
- RELATED ENTRIES
- Spolsky on Blog Comments: Scale matters
- "The internet's output is data, but its product is freedom"
- Andrew Keen: Rescuing 'Luddite' from the Luddites
- knowledge access as a public good
- viewing American class divisions through Facebook and MySpace
- Gorman, redux: The Siren Song of the Internet
- Mis-understanding Fred Wilson's 'Age and Entrepreneurship' argument
- The Future Belongs to Those Who Take The Present For Granted: A return to Fred Wilson's "age question"
1. Lucas on January 6, 2004 7:05 PM writes...
The problem with the friends -> items mapping is that the friends space is small and tends to be based on things like geographical proximity and other limiting factors, whereas the items -> similar people -> items mapping implied in user-centric collaborative filtering is much less arbitrary. There is a fairly good chance you know that of all the movies ever made which one is your favorite. The same cannot be said for people, not by a long shot.
Speaking of CF, I am amazed at the lack of social software that incorporates and formalizes the favorite items -> similar people mapping, which in my eyes is the holy grail of social software...
Permalink to Comment2. Pete on January 22, 2004 10:25 AM writes...
I agree wtih Stowe's assessment. Eventually, eurekster should launch tribes that i can join. The reason being is that I am a member of many different networks that are into very different things. Therefore, the larger and more disparate the interests of my network, the more noise I will see.
I plan to limit my social network to the people that are interested in a narrow subset of topics as I am.
http://eureksterblog.blogspot.com/2004_01_01_eureksterblog_archive.html#107469928053484639
Permalink to Comment