Affinity Propogation For Objects based on Keyword Search Engine Results
$1500-3000 USD
In Progress
Posted almost 9 years ago
$1500-3000 USD
Paid on delivery
I am looking for a Big Data expert that can analyze a mysql database with data that associates approx 40million or more objects that come from a possible 25million unique keyword search engine results.
The Analysis would most likely use Affinity Propagation to Cluster the Objects automatically and put a possible label on these objects using the \"best\" keywords from the cluster. I would assume that because of the large size of the data, the solution would use mapreduce and hadoop or something similar to make processing as fast as possible.
I would also require that I can feed in new objects and get the cluster it belongs to, whether it be suitable to put into an existing cluster, or that it create a new cluster if the associated keywords are too different from existing clusters.
Other data may be utilized including categorizations already attributed to the objects and direct similarities between objects. However the main solution shouldnt depend on these to create the new clusters, but should add to it to make it possibly more accurate.
I have current Search engine results and historical data for the results so the data may be larger than whats explained earlier if you think it would be good to use.
Thanks
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