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https://issues.apache.org/jira/browse/MAHOUT-752?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lance Norskog updated MAHOUT-752:
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Description:
This package has two parts:
# SemanticVectorFactory creates geometric vectors based on non-geometric
User/Item ratings.
# VectorDataModel stores these and does preference evaluation based on the
vectors and a given DistanceMeasure
This is a large exploration of the Semantic Vectors concept:
[http://code.google.com/p/semanticvectors/]. And was the inspiration for this
project.
was:
This package has two parts:
# SemanticVectorFactory creates geometric vectors based on non-geometric
User/Item ratings.
# VectorDataModel stores these and does preference evaluation based on the
vectors and a given DistanceMeasure
This is a clear explanation of the Semantic Vectors concept:
[http://code.google.com/p/semanticvectors/]
> Semantic Vectors: generate and use vectors from User/Item Taste data models
> ----------------------------------------------------------------------------
>
> Key: MAHOUT-752
> URL: https://issues.apache.org/jira/browse/MAHOUT-752
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Reporter: Lance Norskog
> Assignee: Sean Owen
> Priority: Minor
> Attachments: SemanticVectors.patch
>
>
> This package has two parts:
> # SemanticVectorFactory creates geometric vectors based on non-geometric
> User/Item ratings.
> # VectorDataModel stores these and does preference evaluation based on the
> vectors and a given DistanceMeasure
> This is a large exploration of the Semantic Vectors concept:
> [http://code.google.com/p/semanticvectors/]. And was the inspiration for this
> project.
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