Tags
deeplearning
random walk
variational inference
neural factorization machine
factorization machine
recommender
em
dssm
gan
xgboost
tensorflow
cnn
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Item Based Collaborative Filtering Recommendation Algorithms
nextlib
•
Vor 16 Jahren
Explainable recommendations - IJCAI 2017 XAI Workshop
Barry Smyth
•
Vor 6 Jahren
Attention mechanisms with tensorflow
Keon Kim
•
Vor 7 Jahren
Deep Learning for Recommender Systems
Justin Basilico
•
Vor 6 Jahren
Deep Learning for Personalized Search and Recommender Systems
Benjamin Le
•
Vor 6 Jahren
Session-Based Recommender Systems
Eötvös Loránd University
•
Vor 7 Jahren
Efficient Top-N Recommendation by Linear Regression
Mark Levy
•
Vor 10 Jahren
Neighbor methods vs matrix factorization - case studies of real-life recommendations (Gravity LSRS2015 RECSYS 2015)
Domonkos Tikk
•
Vor 8 Jahren
Deep Learning for Recommender Systems RecSys2017 Tutorial
Alexandros Karatzoglou
•
Vor 6 Jahren
Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial
Alexandros Karatzoglou
•
Vor 10 Jahren
Steffen Rendle, Research Scientist, Google at MLconf SF
MLconf
•
Vor 9 Jahren
Factorization Machines with libFM
Liangjie Hong
•
Vor 11 Jahren
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
Vor 9 Jahren
MovieTweetings: a movie rating dataset collected from twitter
Simon Dooms
•
Vor 10 Jahren
Collaborative Filtering with Spark
Chris Johnson
•
Vor 10 Jahren