maximum inner product search
grouplens
random forests
validation set
twitter
attention mechanism
last.fm
brightkite
equal opportunity
recall
manifold
dunnhumby
autoregression
neural factorization machines
houzz
precision recall curve
maximum likelihood estimation
amazon
pagerank
underfit
adam optimizer
bilinear
autoregressive
pointwise predictors
pairwise predictors
self-attention
surprise
herding
sensitivity
bipartite matching problem
interpretability
regressor
netflix
gensim
pseudoinverse
$p$-value
mixture of experts
price elasticity
conversational recommender systems
line of best fit
multi-hot
bag-of-words
trust
explicit feedback
netflix prize
cosine similarity
recall
value unfairness
cross-elasticity
crowd-sourcing
encoder-decoder
word2vec
tensorflow
hits
adwords
librarything
overfit
behance
term frequency
cinematch
tsv
random walk
personalized health
classifier
gini coefficient
group recommendation
fashionable
sklearn
spmc / socially-aware personalized markov chains
long-tail
those topics that are capable of explaining the variation in ratings
youtube
sse / sum of squared errors
eachmovie
jaccard similarity
faiss
least misery
$r^2$ coefficient
recurrent neural networks
n-gram
semi-supervised learning
aggregate diversity
collaborative filtering
singular value decomposition
vbpr / visual bayesian personalized ranking
clothing
google
regularized
supervised learning
matrix factorization
hit rate
reciprocal communication
location-based social networks
latent factor models
foursquare
endomondo
youtube
model-based
autoencoder
yahoo
microsoft
likelihood function
extractive
ciao
absolute unfairness
regularization
mrr / mean reciprocal rank
steam
topic models
$f$-test
calibration
one-hot encoding
abstractive
million song dataset
popularity bias
implicit feedback recommendation
modcloth
bert
sigmoid function
conditional independence
session-based
concept drift
genres
social trust
scipy
factorization machine
transformer
dynamic weighted majority
pearson similarity
citeulike
underfitting
balanced error rate
translation-based recommendation
gradient descent
document frequency
denoising autoencoders
spectrogram
concentration
validation
test set
attention mechanism
recurrent networks
reddit
bing
transfomer
feature imputation
feature engineering
neighborhood-based
demographic parity
price sensitivity
movielens
mmr / maximal marginal relevance
pearson correlation coefficient
computational social science
fastfm
user-free
autorec
explore/exploit tradeoff
etsy
hyperparameter
epinions
google local
satisfaction
kiva.org
spotify
markov chain
unexpectedness
overfitting
memory-based
yelp
microsoft
google news
mechanical turk
python
explainability
utility gap
pinterest
generative adversarial network
regularizer
user manifold
tradesy
deep learning
gowalla
prme / personalized ranking metric embedding
delicious
trigrams
fvu / fraction of variance unexplained
scikit-learn
ensembling
true positive rate
side-information
bookcrossing
adobe
tf-idf
receiver operating characteristic
t-sne
goodreads
csv
autorec
cumulative gain
okapi bm-25
calibrated recommendations
fairness
amazon
precision
unix time
item2vec
bigrams
matching problem
bing
polylens
logistic regression
taste profile dataset
wide \& deep learning
smart reply
google+
unsupervised learning
one-class
linear regression
topic modeling
reddit
significance testing
online learning
content aware
facebook
bookmooch.com
re-ranking
bipartite graph
criteo
sentiment analysis
rossmann
anomaly detection
google
json