Personal Information
Entreprise/Lieu de travail
Hildesheim Germany
Profession
researcher
Secteur d’activité
Technology / Software / Internet
À propos
I am a researcher in applied machine learning at University of Hildesheim. In my free time, I contribute to Padre, the Perl IDE.
Mots-clés
recsys
data mining
item recommendation
recommender systems
bpr
stochastic gradient descent
matrix factorization
ranking
machine learning
kdd
kdd cup
fosdem2011
ruby
datadevroom
csharp
python
ironpython
mymedialite
fosdem
mono
ironruby
dotnet
Tout plus
Présentations
(2)J’aime
(29)Utrecht NL-HUG/Data Science-NL - Agile Data Slides
Hortonworks
•
il y a 11 ans
Conductrics bandit basicsemetrics1016
Matt Gershoff
•
il y a 11 ans
Scalable Similarity-Based Neighborhood Methods with MapReduce
sscdotopen
•
il y a 11 ans
Content, Connections, and Context
Daniel Tunkelang
•
il y a 11 ans
Mendeley Suggest: Engineering a Personalised Article Recommender System
Kris Jack
•
il y a 11 ans
Introduction to Collaborative Filtering with Apache Mahout
sscdotopen
•
il y a 11 ans
Large Scale Graph Processing with Apache Giraph
sscdotopen
•
il y a 11 ans
From a toolkit of recommendation algorithms into a real business: the Gravity R&D experience (talk given at Recsys 2012)
Domonkos Tikk
•
il y a 11 ans
I've got 10 million songs in my pocket. Now what?
Paul Lamere
•
il y a 11 ans
Perl 5.16 and beyond
Jesse Vincent
•
il y a 12 ans
Pig, Making Hadoop Easy
Nick Dimiduk
•
il y a 13 ans
Acts As Recommendable
maccman
•
il y a 15 ans
Hadoop conference Japan 2011
Takahiko Ito
•
il y a 12 ans
Location vs. People
Neal Lathia
•
il y a 12 ans
Introduction to Matrix Factorization Methods Collaborative Filtering
DKALab
•
il y a 12 ans
Global Netflix Platform
Adrian Cockcroft
•
il y a 12 ans
Algorithms on Hadoop at Last.fm
Mark Levy
•
il y a 13 ans
Recommendations as a Conversation with the User
Daniel Tunkelang
•
il y a 12 ans
Using latent features diversification to reduce choice difficulty in recommendation lists
Bart Knijnenburg
•
il y a 12 ans
ACM RecSys 2011 - Rank and Relevance in Novelty and Diversity Metrics for Recommender Systems
Pablo Castells
•
il y a 12 ans
Towards Diverse Recommendation
neilhurley
•
il y a 12 ans
Tutorial on Robustness of Recommender Systems
neilhurley
•
il y a 12 ans
regex-presentation_ed_goodwin
schamber
•
il y a 12 ans
Keeping It Professional: Relevance, Recommendations, and Reputation at LinkedIn
Daniel Tunkelang
•
il y a 12 ans
One Tag to bind them all: Measuring Term abstractness in Social Metadata
Inovex GmbH
•
il y a 12 ans
How does biology explain the low numbers of women in computer science? Hint: it doesn't.
Terri Oda
•
il y a 14 ans
Jon Sanders on Collaborative Filters at SXSW
Anton Kast
•
il y a 15 ans
4chan and /b/: An Analysis of Anonymity and Ephemerality in a Large Online Community
Michael Bernstein
•
il y a 12 ans
Migrating Netflix from Datacenter Oracle to Global Cassandra
Adrian Cockcroft
•
il y a 12 ans
Personal Information
Entreprise/Lieu de travail
Hildesheim Germany
Profession
researcher
Secteur d’activité
Technology / Software / Internet
À propos
I am a researcher in applied machine learning at University of Hildesheim. In my free time, I contribute to Padre, the Perl IDE.
Mots-clés
recsys
data mining
item recommendation
recommender systems
bpr
stochastic gradient descent
matrix factorization
ranking
machine learning
kdd
kdd cup
fosdem2011
ruby
datadevroom
csharp
python
ironpython
mymedialite
fosdem
mono
ironruby
dotnet
Tout plus