Launch of Twendly

Yesterday we launched http://twendly.com which is a Twitter people search implementing a version of the HiveMind engine we have been working on.

It's still very much a preview of the concept, but it does provide a hands on implementation that you can quickly experience to see the concept a lot more clearly.  There are lots of features we are working to add in, but for now this is the very core of the idea - you search for information and we return people.

Even if you don't have a Twitter account you can still search and play with it - you'll get the basics of the concept very quickly, but if you do have a Twitter account, we'd love you to sign up and let us index all your tweets to add more users into the database and make the demonstration more meaningful.  We'd love to get a couple of hundred people signed up over the Christmas period, so feel free to invite and encourage your friends to join in too.

What we aren't demonstrating here is the plug-out concept yet - we've implemented a Twitter plug-in, but we aren't returning the data yet.  In an Enterprise implementation (for example a Wiki) you'll be able to plug-in various different sources and then build and save Topic searches.  The results of the Topic searches (for example Lotus Connections Experts) will then be able to be assigned through plug-outs back to source data, for example labelling the top 20 individuals who match the Topic with the topic name (i.e. tagging them as "Lotus Connections Experts") in the source system.

We'd love to hear your feedback, so please let us know what you think using the feedback on the site.

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Filed under  //  launch   search   twendly  
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Posted 7 months ago by Tim Bull 

Expertise location across E2.0 is gaining momentum

Ross Dawson wrote today on his blog that:

Unless a large organization can bring the most relevant expertise within the firm to bear on the problems and issues at hand, it really has no reason to exist. A smaller more nimble organization could do as good a job with lower costs.

This is a problem that we are keenly aware of at BinaryPlex.  Our personal experience is in large professional services firms where this problem is a very real one.

With the rapid growth of Enterprise 2.0 tools finding their way into large organisations, there is now scope for tools that mine this information to identify the key people based on the skills they demonstrate, not the skills they say they have.  Using smart software that mines the expertise from documents, automated expertise locations tools could help organisation ensure that their people profiles are more accurate, up to date and contain information on what people really do rather than what they want to promote (although there is a place for both).

Enterprise Search solutions don't help in this environment because they target a different problem.  They are very effective at indexing large amounts of content, but when searching, you are often returned large numbers of documents.  This is typically one step away from what is needed for expertise location problems - I generally need to know who are the key people I need to speak to, not which document do I need to read.

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Filed under  //  articles   e2.0   expertise   industry   location   search  
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Posted 9 months ago by Tim Bull