I didn't like the idea at first, because when you make it easy by
suggesting keywords, people will just be lazy and take them, instead of
contributing to the folksonomy.
But I liked it better when I realize it's kinda similiar to the
Statistically Improbable Phrases feature amazon recently introduced.
Example:
http://www.amazon.com/exec/obidos/tg/detail/-/0805074562/qid=1117760057/sr=8-1/ref=pd_csp_1/103-9498151-3994211?v=glance&s=books&n=507846#sipbody
You could pull out the statistically improbable phrases from the web
page being tagged.
-ofer
Sam Joseph wrote:
In the NeuroGrid system I used to extract all the words from a page,
remove stopwords and then present the most frequently occuring terms
to the user as tag possibilities. More sophisticated approaches
might use TFIDF or something like that.
The main problem with this, and indeed any other approach that
involves parsing the page in question, is the time it takes to get the
page and parse it. The parsing usually won't take so long, but there
will be a few seconds delay to grab the page, and this can be a little
frustrating to users who are expecting a quick turnaround such as they
currently get with del
CHEERS> SAM
Clifford Caoile wrote:
But, how would you propose getting the recommendations in the first
place? What algorithms can succinctly summarize a home page?
_______________________________________________
discuss mailing list
discuss@del.icio.us
http://lists.del.icio.us/cgi-bin/mailman/listinfo/discuss
_______________________________________________
discuss mailing list
discuss@del.icio.us
http://lists.del.icio.us/cgi-bin/mailman/listinfo/discuss