Denis Parra Santander
102
Abonné
Personal Information
Entreprise/Lieu de travail
Chile Chile
Profession
AssociateProfessor at Catholic University of Chile
Site Web
dparra.sitios.ing.uc.cl/
À propos
Assistant Professor in the Department of Computer Science at Pontificia Universidad Catolica de Chile, working on AI applied to medical imaging and creativity, recommender systems, information visualization.
https://dparra.sitios.ing.uc.cl/
Leading Social Computing and Visualization Lab at PUC
http://socvis.ing.puc.cl
Mots-clés
recommender systems
recommender
recsys
image recommendation
explainability
ai
visualization
setfusion
implicit-to-explicit
xai
ugallery
imagenet
transfer learning
deep neural networks
interpretability
black-boxes
gdpr
machine learning
interactive interfaces
information retrieval
ecir
interactive systems
hci
user studies
data science
data fusion
umap
user modeling
topic models
citeulike.
lda
social tags
disasters
twitter
#swdm2015
classifiers
#www2015
jcc2014
talkexplorer
recsys2014
ht2014
iui2014
hybrid_recommendation
#umap2011
network visualization
qmss
columbia
#datavizqmss
#umap2012 #srs2012
music
recsys2011
cars2011
last.fm
research-interests
introducing-myself
ht09
systems
collaborativefiltering
Tout plus
- Présentations
- Documents
- Infographies
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
il y a 9 ans
Algorithmic Music Recommendations at Spotify
Chris Johnson
•
il y a 10 ans
Visualizing Networks: Beyond the Hairball
OReillyStrata
•
il y a 11 ans
Measuring User Engagement
Mounia Lalmas-Roelleke
•
il y a 11 ans
Deep Learning through Examples
Sri Ambati
•
il y a 9 ans
Collaborative Filtering at Spotify
Erik Bernhardsson
•
il y a 11 ans
R by example: mining Twitter for consumer attitudes towards airlines
Jeffrey Breen
•
il y a 12 ans
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
il y a 8 ans
Music Recommendations at Scale with Spark
Chris Johnson
•
il y a 9 ans
A Fast and Dirty Intro to NetworkX (and D3)
Lynn Cherny
•
il y a 12 ans
Kdd 2014 Tutorial - the recommender problem revisited
Xavier Amatriain
•
il y a 9 ans
Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial
Alexandros Karatzoglou
•
il y a 10 ans
Deep Learning for Personalized Search and Recommender Systems
Benjamin Le
•
il y a 6 ans
Deep Learning for Recommender Systems RecSys2017 Tutorial
Alexandros Karatzoglou
•
il y a 6 ans
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
il y a 9 ans
Recommendations as a Conversation with the User
Daniel Tunkelang
•
il y a 12 ans
Approximate nearest neighbor methods and vector models – NYC ML meetup
Erik Bernhardsson
•
il y a 8 ans
Association Rule Mining with R
Yanchang Zhao
•
il y a 9 ans
Tutorial on People Recommendations in Social Networks - ACM RecSys 2013,Hong Kong
Anmol Bhasin
•
il y a 10 ans
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Xavier Amatriain
•
il y a 10 ans