Personal Information
Organization / Workplace
Ireland, Galway Ireland
Occupation
CS Lecturer
Industry
Education
Website
parklize.github.io
About
Research interests:
- User Modeling, Personalization in Online Social Networks
- Recommender Systems
- Knowledge Graph
Tags
semantic web
recommendation
linked data
user modeling
deep learning
personalization
user interest profiles
twitter
owl
recommender systems
social media
primer
env2vec
software testing
vnf
deep neural networks
challenge
eswc
eswc2018
cnn
gru
review
sentiment analysis
sentiment classification
entity embeddings
knowledge graph
knowledge base
social network
retweet prediction
neural network
attention
linked open data
dbpedia
factorization machines
list memberships
passive users
knowledge management
linkedin
learning
mooc
google+
semantic similarity
facebook
semantic distance
machine learning
type prediction
basic
rdfa
overview
2.0
hdd
ssd
disruptive technology
See more
Presentations
(19)Documents
(1)Likes
(59)VoLTE Flows and CS network
Karel Berkovec
•
5 years ago
VoLTE flows - basics
Karel Berkovec
•
5 years ago
Papers that Win Acceptance: Lessons from a quarter of a century of rejections.
Andrea G. B. Tettamanzi
•
3 years ago
Device Twins, Digital Twins and Device Shadow
Estelle Auberix
•
4 years ago
Deep Learning for Recommender Systems RecSys2017 Tutorial
Alexandros Karatzoglou
•
6 years ago
How to supervise your supervisor?
Fabien Gandon
•
7 years ago
Deep Learning for Personalized Search and Recommender Systems
Benjamin Le
•
6 years ago
What happened to the Semantic Web?
Peter Mika
•
6 years ago
Steffen Rendle, Research Scientist, Google at MLconf SF
MLconf
•
8 years ago
Matrix Factorization Techniques For Recommender Systems
Lei Guo
•
11 years ago
Factorization Machines with libFM
Liangjie Hong
•
10 years ago
How to survive your PhD
foreveribmer
•
6 years ago
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
9 years ago
Recommender Systems and Linked Open Data
Polytechnic University of Bari
•
8 years ago
Social Media Personality Types
adrian chan
•
14 years ago
UMAP 2013 - Link, Like, Follow, Friend: The Social Element in User Modeling and Adaptation
gjhouben
•
10 years ago
How to find right institution & advisor for your research
foreveribmer
•
9 years ago
Adding More Semantics to the Social Web
John Breslin
•
8 years ago
On Beyond OWL: challenges for ontologies on the Web
James Hendler
•
7 years ago
Dbrec - Music recommendations using DBpedia
Alexandre Passant
•
12 years ago
Automatic Selection of Linked Open Data features in Graph-based Recommender Systems
Cataldo Musto
•
8 years ago
Social Recommender Systems Tutorial - WWW 2011
idoguy
•
12 years ago
Establishing and Managing IT Education Center in the Developing Country
Byeongguk Ku
•
8 years ago
How Watson Works
kcortis
•
8 years ago
Social Networks and the Semantic Web: a retrospective of the past 10 years
Peter Mika
•
8 years ago
SIOC in Actions - representing the dynamics of online comminities
Pierre-Antoine Champin
•
13 years ago
Gephi Tutorial Layouts
Gephi Consortium
•
12 years ago
insight-centre-galway-learning-analytics
Simon Buckingham Shum
•
9 years ago
Personal Information
Organization / Workplace
Ireland, Galway Ireland
Occupation
CS Lecturer
Industry
Education
Website
parklize.github.io
About
Research interests:
- User Modeling, Personalization in Online Social Networks
- Recommender Systems
- Knowledge Graph
Tags
semantic web
recommendation
linked data
user modeling
deep learning
personalization
user interest profiles
twitter
owl
recommender systems
social media
primer
env2vec
software testing
vnf
deep neural networks
challenge
eswc
eswc2018
cnn
gru
review
sentiment analysis
sentiment classification
entity embeddings
knowledge graph
knowledge base
social network
retweet prediction
neural network
attention
linked open data
dbpedia
factorization machines
list memberships
passive users
knowledge management
linkedin
learning
mooc
google+
semantic similarity
facebook
semantic distance
machine learning
type prediction
basic
rdfa
overview
2.0
hdd
ssd
disruptive technology
See more