On Sun, 8 Oct 2006 14:01:54 +1000, "Amir Michail" <[EMAIL PROTECTED]> said: > Hi, > > What do you think of the following?
Aside from tag-related links and user-related links, this would be a way for a user to provide *explicit* user-related links, things that a user thinks *should* be related to this link. This is conceptually very close or identical to the kinds of collections enabled by Rollyo, Wink, Squidoo, Kaboodle and others (Yahoo MyWeb ? ). So, adding a lightweight, easy-to-add explicit user-defined clustering on a bookmark might be a good idea. If the system showed clusters that other users have created around this bookmark, that might help as well. It appears different enough from other notions of "related" ( http://tinyurl.com/e854x ) to be interesting if added in a lightweight way to del.icio.us. You could possibly jigger the existing delicious tag system and fake this by creating large sets of special case tags to keep all this glued together with private semantic tags, but that seems to suggest this should really have intrinsic system support. Nitin Borwankar, Tag Schemer http://tagschema.com > > * when entering a bookmark, you supply not only tags but also "virtual > inlinks" and "virtual outlinks"; for example, when bookmarking > TeXmacs, you might supply LyX as a virtual inlink and several TeXmacs > resources pages as virtual outlinks. > > * these virtual inlinks and outlinks allow you to create your own > subweb that you can use to browse your bookmarks; for example, when > browsing the LyX bookmark in your subweb, you will see TeXmacs as a > virtual outlink > > * moreover, the combined virtual inlinks and outlinks of all users > provide an alternative view of the web, perhaps with more interesting > linking > > * when browsing links, you can click "more like this" or "fewer like > this"; the system keeps track of both of your liked and disliked links > > * virtual inlinks and outlinks along with liked/disliked links can be > used to enhance personalized recommendations > > * for example, to compute the personalization score for some link Y > with respect to some user P's liked links U_1, ..., U_m and disliked > links V_1, ..., V_n, we could do the following: > > compute scores for Y's virtual inlinks from all users: say S_i for > X_i => Y (the stronger the implication, the higher the score) > > compute scores for Y's virtual outlinks from all users: say S'_i for > Y=>X_i (the stronger the implication, the higher the score) > > compute the personalization score for Y with respect to user P as > follows: > > sum S_i over U_i - sum S'_j over V_j > > Amir > > > > Yahoo! Groups Links > > > > > > > > -- Nitin Borwankar [EMAIL PROTECTED] Yahoo! Groups Links <*> To visit your group on the web, go to: http://groups.yahoo.com/group/ydn-delicious/ <*> Your email settings: Individual Email | Traditional <*> To change settings online go to: http://groups.yahoo.com/group/ydn-delicious/join (Yahoo! ID required) <*> To change settings via email: mailto:[EMAIL PROTECTED] mailto:[EMAIL PROTECTED] <*> To unsubscribe from this group, send an email to: [EMAIL PROTECTED] <*> Your use of Yahoo! Groups is subject to: http://docs.yahoo.com/info/terms/
