forked from timdrijvers/recommendation
/
main.go
53 lines (43 loc) · 1.44 KB
/
main.go
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package main
import (
"fmt"
"os"
"github.com/recoilme/recommendation/matrix"
"github.com/recoilme/recommendation/recommendation"
"gonum.org/v1/gonum/mat"
)
func main() {
if len(os.Args) <= 2 {
fmt.Fprintln(os.Stderr, "example FILE ROW")
fmt.Fprintln(os.Stderr, "FILE a csv file with header and first column labels")
fmt.Fprintln(os.Stderr, "ROW a label from the first column (row label)")
os.Exit(1)
}
file, err := os.Open(os.Args[1])
if err != nil {
panic(err)
}
defer file.Close()
baseMatrix := matrix.LabelMatrixFromCSV(file)
//matPrint(baseMatrix)
rowLabel := baseMatrix.RowLabel.IndexOf(os.Args[2])
if rowLabel == -1 {
fmt.Fprintf(os.Stderr, "Can not find row %s\n", os.Args[2])
os.Exit(2)
}
cosineMatrix := matrix.NewCosineLabeledMatrix(baseMatrix)
// Create recommendation/similarity matrix, containing top 10 items recommendation for a item
itemItemSimilarities := recommendation.NewTopSimilaritiesFromMatrix(cosineMatrix, 10)
// user - item recommendation
userLikes := baseMatrix.RowView(rowLabel)
fmt.Println("user likes", baseMatrix.ColumnLabel.FilterVector(userLikes))
fmt.Println("Ranked recommended ")
recommend := itemItemSimilarities.ScoredSimilar(cosineMatrix.Dense, userLikes)
recommend.Visit(func(index int, value float64) {
fmt.Println(baseMatrix.ColumnLabel[index], value)
})
}
func matPrint(X *matrix.LabeledMatrix) {
fa := mat.Formatted(X, mat.Prefix(""), mat.Squeeze())
fmt.Printf("%v\n", fa)
}