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CTR prediction on Book-Crossing (test)

92.38AUCKNI
60.472868.756477.0485.3236Jan 23, 2019Feb 25, 2019Mar 31, 2019May 3, 2019Jun 6, 2019Jul 9, 2019Aug 12, 2019

Evaluation results

MethodLinks
KNIhop number=12019.0892.3884.72—
NIhop number=12019.0891.683.62—
RippleNethop number=12019.0887.3679.75—
MCRec2019.0887.0879.3—
PinSagehop number=12019.0886.3478.04—
CKE2019.0885.7278.39—
DKN2019.0884.5576.79—
Wide&Deep2019.0884.0176.84—
libFM2019.088375.97—
KNIhop number=12019.0877.2370.63—
NIhop number=12019.0874.6867.96—
KGNN-LS2019.0574.4——
PER2019.0873.9269.39—
KGCN-sumaggregator=sum2019.0373.8—68.8
MKR2019.0173.470.4—
KGCN-concataggregator=concat2019.0373.4—68.1
RippleNet2019.0172.966.2—
RippleNethop number=32019.0872.966.3—
KGCN-neighboraggregator=neighbor2019.0372.8—67.9
RippleNet2019.0572.7——
MCRec2019.0872.567.07—
KGCN-avgaggregator=average2019.0372.2—68.2
MKR-stitchArchitecture=cross-stitch network variant2019.0172.168.2—
RippleNet2019.0371.5—65
Wide&Deep2019.0171.262.4—
Wide&Deep2019.0871.162.3—
PinSagehop number=12019.0871.0264.77—
MKR-DCNArchitecture=DCN-based variant2019.0170.567.6—
LibFM + TransE2019.0369.8—62.2
LibFM + TransETransE dimension=322019.0569.8——
LibFM2019.0369.1—61.8
LibFMdimension={1, 1, 8}, training epochs=502019.0569.1——
LibFM2019.0168.564—
libFM2019.0868.563.9—
CKE2019.0367.7—61.1
CKEembedding dimension=128, KG training weight=0.12019.0567.7——
CKE2019.0867.664.22—
SVD2019.0367.2—63.5
SVD2019.0567.2——
CKE2019.0167.163.3—
DKN2019.0864.8863.33—
PER2019.0162.358.8—
PER2019.0862.358.8—
DKN2019.0162.259.8—
PER2019.0361.7—56.2
PERmeta-paths=user-book-author-book, user-book-genre-book2019.0561.7——