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Knowledge-at-work: Social search - KM thinking
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"Knowledge-at-work
Personal thoughts about learning, community and social affordances for knowledge creation
« Beliefs around learning
Main
Knowledge sharing - a re-think »
December 03, 2006
Social search - KM thinking
Social search is touted as the next big thing for improving information retrieval, relevance and awareness. Let's take a look.
What exactly is Social Search? There is no clear answer as the field is emerging and changing at a rapid pace. Here is one early definition: " ..a collection of Internet wayfinding tools informed by human judgment.
That judgment takes place in the form of tags, click-through activity,
search history, and other actions ". Source These technologies are being applied to bookmarks, images, tags, blogs, bibliographies.
Social search comes in many favors. New engines are riding the web2.0 wave making it difficult to evaluate progress in this heaving landscape .
Subscribing to a Flickr , del.icio.us , diigo or technorati tag via RSS - allows you to connect to a community, annotate, scan for recency, popularity or some rating measure as applied to posted images, bookmarks, URL links or blog posts. This brings new finds directly into your aggregator helping keep you up-to-date and raising your awareness.
Scanning or searching Digg or Wink - helps you quickly zero in on news, posts and items others have rated as interesting, worthwhile or can be used for finding experts.
Social search engines such as Eurekster , Prefound , Searchles , Gravee , Collarity , Zimbio , .... claim to use collaborative filtering, relevance rankings, community activity & behavior, 'collections', unique ranking scores to improve search returns, provide a 'personal touch', guide inquiry and add 'meaning' to those coded search algorithms the big boys use.
Affordances What do we need to "
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