Taxonomy Node-Directed Classification Model
(Redirected from Taxonomy Node Prediction Model)
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A Taxonomy Node-Directed Classification Model is a graph node classification model whose class set are the taxonomy nodes of a taxonomy database)
- AKA: Taxonomy Node-based Prediction Model.
- Context:
- It can be produced by a Taxonomy Node Classification Model Training Task.
- It can support a Document Classification Task.
- It can be used by a Taxonomy Node-based Classification System.
- Example(s):
- a Product Taxonomy Node-based Classification Model, such as:
f("Kids and Family > Cribs"})⇒{"Home Furnishings > Furniture > Cribs"}.f("Thanks for including my child's hamper!"})⇒{"Home Furnishings > Furniture > Cribs"}.
- …
- a Product Taxonomy Node-based Classification Model, such as:
- Counter-Example(s):
- See: Taxonomy Mapping Task, Taxonomy Mapping System, Taxonomy Node-based Classification Task, Multiclass Classification Model.