recommend_products: Generate Product Recommendations
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
View source: R/unsupervised-market-basket.R
recommend_products R Documentation
Generate Product Recommendations
Description
Get product recommendations based on basket contents
Usage
recommend_products(rules_obj, basket, top_n = 5, min_confidence = 0.5)
Arguments
rules_obj
A tidy_apriori object
basket
Character vector of items in current basket
top_n
Number of recommendations to return (default: 5)
min_confidence
Minimum confidence threshold (default: 0.5)
Value
A tibble with recommended items and metrics
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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View source: R/unsupervised-market-basket.R
| recommend_products | R Documentation |
Generate Product Recommendations
Description
Get product recommendations based on basket contents
Usage
recommend_products(rules_obj, basket, top_n = 5, min_confidence = 0.5)
Arguments
rules_obj |
A tidy_apriori object |
basket |
Character vector of items in current basket |
top_n |
Number of recommendations to return (default: 5) |
min_confidence |
Minimum confidence threshold (default: 0.5) |
Value
A tibble with recommended items and metrics
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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