On 2013-08-07 03:24, Ted Dunning wrote:
Yes. There are several approaches.
One of the most effective is rescoring. You use a performant
recommender
such as a search engine based recommender and then rescore the top few
hundred items using a more detailed model.
That's what I was thinkin
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I am trying to run the Dirichlet Process Clustering on the cooccurrence
matrix output of the RowSimilarityJob. Since RowSimilarityJob creates
RandomAccessSparseVectors with a cardinality of Integer.MAX_VALUE, I
used the following code to run the clustering:
ModelDistribution modelDist = new
