ReSyPE
Getting Started
Quickstart
Collaborative Filtering
Content-based Filtering
Performance Comparison with Surprise
Preprocessing
Item Feature Table
Transaction Table
User Feature Table
Clustering
User Clustering
Item Clustering
Aggregation
Cluster Assignments
ML Models
ReSyPE Training Pipeline
Demo: Iterative Approach to ML-based Item-wise Collaborative Filtering
Demo: Iterative Approach to ML-based Item-wise Collaborative Filtering Applied to Clustered Data
Demo: ML-based Collaborative Filtering on Utility Matrix with Reduced Dimensions
Demo: ML-based Collaborative Filtering on Utility Matrix with Reduced Dimensions Applied to Clustered Data
Content Based Model
Get Recommendations
Get Item Recommendations
Get Item Recommendations from Clusters
Evaluation
Splitting transaction table randomly to create train and test sets
Splitting transaction table chronologically to train and test sets
Evaluation
Evaluation_arrays
Cross-validation
repository
open issue
Index
