PARC’s Augmented Social Cognition team is doing really interesting work. From time to time, new projects surface on their blog.
Last week, PARC announced the site Mr.Taggy.com, a search engine based on social bookmarking tags:
The problem with using social tags is that they contain a lot of noise, because people often use different words to mean the same thing or the same words to mean different things. The TagSearch algorithm is part of our ongoing research to reduce the noise while amplifying the information signal from social tags.
Mr. Taggy uses “related tags” to reduce the noise.
Filtering makes a difference:
Mr. Taggy results for void
Mr. Taggy search results for void, filtered by semantic web
Searchers can thumbs-up or thumbs-down each result to provide further context.