Thanks Sean,
I'm just looking at section 3.3 Coping without preference values of
Mahout in Action book, that explains how to work with
GenericBooleanPrefDataModel.
On 8 June 2013 14:20, Sean Owen sro...@gmail.com wrote:
Use an implementation that doesn't expect a rating. These are
so-called
Hi All,
I am trying to use Mahout for Link Prediction in a Social Network.
The data I have is an edges list with 9.4 million rows. The edge list is a
csv vile where each node is an integer value and a row represents a edge
between two nodes. For example;
3432, 5098
3423, 6710
4490, 5843
4490,
Use an implementation that doesn't expect a rating. These are
so-called 'boolean' implementations, like GenericBooleanPrefDataModel.
For example you can build and item-based recommender with the boolean
version of item based recommender and a log-likelihood similarity.
Or, yes you can calculate
