recommendComplimentaryProducts: Recommend products in item-to-item scenario
In byapparov/recommender: Provides functions for collaborative filtering
Description
Recommend products in item-to-item scenario
Usage
1
2
recommendComplimentaryProducts(model, skus, group.column = "sku",
limit = 20L)
Arguments
model
similarity model object
skus
data.table of product details with sku field as unique identifier.
group.column
name of the column that will be used for grouping
limit
number of records to return per product
byapparov/recommender documentation built on May 13, 2019, 9:54 a.m.
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Description
Recommend products in item-to-item scenario
Usage
1 2 | recommendComplimentaryProducts(model, skus, group.column = "sku",
limit = 20L)
|
Arguments
model |
similarity model object |
skus |
data.table of product details with sku field as unique identifier. |
group.column |
name of the column that will be used for grouping |
limit |
number of records to return per product |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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