recommend new category paths based on factor item matrix and sales of the items
$begingroup$
Matrix A be a user item matrix. Upon performing UV decomposition, I have just the V matrix.
The matrix A differs every week and I get a new V matrix every week. The matrix U is not kept track of and I have no information about it.I have access to the sales of the items every 6 months.
I have to predict which items will sell well and what new items can be added to the list that can possibly sell well.
clustering recommender-system
$endgroup$
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$begingroup$
Matrix A be a user item matrix. Upon performing UV decomposition, I have just the V matrix.
The matrix A differs every week and I get a new V matrix every week. The matrix U is not kept track of and I have no information about it.I have access to the sales of the items every 6 months.
I have to predict which items will sell well and what new items can be added to the list that can possibly sell well.
clustering recommender-system
$endgroup$
add a comment |
$begingroup$
Matrix A be a user item matrix. Upon performing UV decomposition, I have just the V matrix.
The matrix A differs every week and I get a new V matrix every week. The matrix U is not kept track of and I have no information about it.I have access to the sales of the items every 6 months.
I have to predict which items will sell well and what new items can be added to the list that can possibly sell well.
clustering recommender-system
$endgroup$
Matrix A be a user item matrix. Upon performing UV decomposition, I have just the V matrix.
The matrix A differs every week and I get a new V matrix every week. The matrix U is not kept track of and I have no information about it.I have access to the sales of the items every 6 months.
I have to predict which items will sell well and what new items can be added to the list that can possibly sell well.
clustering recommender-system
clustering recommender-system
asked yesterday
rajnikanthrajnikanth
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