Sumit Sharma

How should aggregators work?

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There will be a sophisticated analytics engine, with adaptive intelligence capabilities that enables self-learning and continuous iterations in order to better serve the user – by providing relevant data delivery. These engines would be able to discover what the users preferences are on an iterative basis, correlate various contextual data to form hypotheses about users, based on which it would aggregate data from appropriate providers (based on suitability of the providers contextual data characteristics), to eventually be in a position to predict and form insights into what is most relevant to the user. Taking this a step further, the aggregator will be able to suggest new things to the user – bringing the web of unknown data into the known – herein lies the notion of framing serendipity. Going back to a utopian world, an ideal aggregator would function in a fashion depicted in the chart below:

How a data/information aggregator should work

Another way of portraying the aggregation operation, for a retail example where a retailer is trying to market a product/service to someone, can be depicted below:


Written by Sumit

October 29, 2009 at 6:56 am

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