@ModelData(value={"isRanking","slim","coefficientMatrix","trainMatrix","similarityMatrix","knn"}) public class SLIMRecommender extends AbstractRecommender
Related Work:
Modifier and Type | Field and Description |
---|---|
protected static int |
knn
number of nearest neighbors
|
protected int |
numIterations
the number of iterations
|
conf, context, decay, earlyStop, globalMean, isBoldDriver, isRanking, itemMappingData, lastLoss, LOG, loss, maxRate, minRate, numItems, numRates, numUsers, ratingScale, recommendedList, testMatrix, topN, trainMatrix, userMappingData, validMatrix, verbose
Constructor and Description |
---|
SLIMRecommender() |
Modifier and Type | Method and Description |
---|---|
void |
createItemNNs()
Create item KNN list.
|
protected boolean |
isConverged(int iter)
Post each iteration, we do things:
print debug information
check if converged
if not, adjust learning rate
|
protected double |
predict(int userIdx,
int itemIdx)
predict a specific ranking score for user userIdx on item itemIdx.
|
protected double |
predict(int userIdx,
int itemIdx,
int excludedItemIdx)
predict a specific ranking score for user userIdx on item itemIdx.
|
protected void |
setup()
initialization
|
protected void |
trainModel()
train model
|
cleanup, evaluate, evaluateMap, getContext, getDataModel, getRecommendedList, loadModel, predict, recommend, recommend, recommendRank, recommendRating, saveModel, setContext
protected int numIterations
protected static int knn
protected void setup() throws LibrecException
setup
in class AbstractRecommender
LibrecException
- if error occursprotected void trainModel() throws LibrecException
trainModel
in class AbstractRecommender
LibrecException
- if error occursprotected double predict(int userIdx, int itemIdx, int excludedItemIdx)
userIdx
- user indexitemIdx
- item indexexcludedItemIdx
- excluded item indexprotected boolean isConverged(int iter)
AbstractRecommender
isConverged
in class AbstractRecommender
iter
- current iterationprotected double predict(int userIdx, int itemIdx) throws LibrecException
predict
in class AbstractRecommender
userIdx
- user indexitemIdx
- item indexLibrecException
- if error occurspublic void createItemNNs()
Copyright © 2017. All Rights Reserved.