Personal Information
Organización/Lugar de trabajo
Bari Area, Italy Italy
Ocupación
Assistant Professor (Ricercatore a Tempo Determinato) presso Università degli Studi di Bari
Sector
Education
Acerca de
Cataldo Musto is Assistant Professor in Computer Science at the University of Bari (Italy) since January 2016. He got a three-years grant to carry on a research project About "Semantic Holistic User Modeling For Personalized Services and Application".
Previously, He got his Ph.D. on June, 2012 by defending a thesis entitled: "Enhanced Vector Space models for Content-based Recommender Systems".
His research interests are focused on the application of techniques for semantic content representation to Recommender Systems, User Modeling and Information Filtering systems.
Etiquetas
semantics
recommender systems
personalization
recommender
recommendation
sentiment analysis
user modeling
user profiling
linked data
user profiles
big data
natural language processing
artificial intelligence
explainableai
linked open data
social media
semantic web
machine learning
explanation
recsys
justification
explainability
personal data
smart cities
holistic user modeling
graph
content
entity linking
social networks
pagerank
content analytics
deep learning
dbpedia
hybrid recommender systems
twitter
hatemap
knowledge graphs
opinion mining
distributional models
ia
content-based recommender
computer science
hate speech
maps
classification
graphs
contextual
review
2.0
web
based
content-based
folksonomy
text analytics
data science
text classification
social
vector space model
transparency
personalized services
chatbots
collaborative filtering
conversational agents
food recommendation
case-based reasoning
quantified self
music
finance
intelligenza artificiale
context-aware
ai
music recommendation
information retrieval
analysis
java
indexing
quantum
feature selection
data visualization
random indexing
racism
evsm
recommender system
women
homophobia
disability
italian
negation
vdm
content based recommender systems information filt
super six world boxing classic
recommender content-based semantic vectors vsm ran
intolerance
personal finance
heat map
random
umap
semantic vectors information filtering recommender
tag recommendation ir retrieval personalization
lexicon
microblog
library
wealth management
diversity
portfolios
services
deep
systems
mahout
dialogue
query
graph embedding
summarization
text summarization
empowerment
natural language generation
user study
users
user-generated content
reviews
web application
data tracking
segmentation
company profiles
sensors
architecture
platform
medicine
medicina
nlp
digital assistant
personal digital assistant
question answering
benchmark
popularity bias
fairness
explanations
food choices
decision-making
health
health-aware recommender systems
health-aware recommendations
food recommender systems
distributional semantics
recipe recommendation
recipe
food
knowledge-based recommender
rnns
recurrent neural networks
representation
neural networks
conference
workshop
temporal dynamics
holistic
tutorial
wikipedia
ontologies
crowdsourcing
profiles
social data
semantic analysis
monitoring
trends
laquila
social capital
social network
knowledge
personalized medicine
otolaryngology
mhealth
m-health
e-health
ehealth
classifiers
data
black mirror
technology
social networking
computers
analytics
overview
uniba
literature
universita di bari
state of the art
content-based recommender systems
Ver más
Presentaciones
(60)Recomendaciones
(18)Explanations in Recommender Systems: Overview and Research Approaches
Universiti Technologi Malaysia (UTM)
•
Hace 11 años
Context-aware Recommendation: A Quick View
YONG ZHENG
•
Hace 9 años
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
Hace 9 años
Lingua Letteratura e Cultura in una dimensione europea Prof.ssa Maria Lina Tarricone
Marlentar
•
Hace 10 años
UMAP 2013 - Link, Like, Follow, Friend: The Social Element in User Modeling and Adaptation
gjhouben
•
Hace 12 años
Adopting a User Modeling Approach to Quantify the City
Università degli Studi di Torino
•
Hace 9 años
Cogntive computing ibm workshop Assirm15
Pietro Leo
•
Hace 9 años
Truth is a Lie: Rules & Semantics from Crowd Perspectives (RR'2015 Keynote)
Lora Aroyo
•
Hace 10 años
Scala and spark
Fabio Fumarola
•
Hace 10 años
[SAC2014]Splitting Approaches for Context-Aware Recommendation: An Empirical Study
YONG ZHENG
•
Hace 11 años
Music recommendations @ MLConf 2014
Erik Bernhardsson
•
Hace 11 años
Urban*: Crowdsourcing for the Good of London
Daniele Quercia
•
Hace 12 años
NOSQL
Manuel Scapolan
•
Hace 13 años
[ECWEB2012]Differential Context Relaxation for Context-Aware Travel Recommendation
YONG ZHENG
•
Hace 12 años
A Distributional Approach for Terminological Semantic Search on the Linked Data Web
Andre Freitas
•
Hace 13 años
Tutorial on Conducting User Experiments in Recommender Systems
Bart Knijnenburg
•
Hace 12 años
Pareto-Efficient Hybridization for Multi-Objective Recommender Systems
Marco Túlio Ribeiro
•
Hace 12 años
Building Large-scale Real-world Recommender Systems - Recsys2012 tutorial
Xavier Amatriain
•
Hace 12 años
Personal Information
Organización/Lugar de trabajo
Bari Area, Italy Italy
Ocupación
Assistant Professor (Ricercatore a Tempo Determinato) presso Università degli Studi di Bari
Sector
Education
Acerca de
Cataldo Musto is Assistant Professor in Computer Science at the University of Bari (Italy) since January 2016. He got a three-years grant to carry on a research project About "Semantic Holistic User Modeling For Personalized Services and Application".
Previously, He got his Ph.D. on June, 2012 by defending a thesis entitled: "Enhanced Vector Space models for Content-based Recommender Systems".
His research interests are focused on the application of techniques for semantic content representation to Recommender Systems, User Modeling and Information Filtering systems.
Etiquetas
semantics
recommender systems
personalization
recommender
recommendation
sentiment analysis
user modeling
user profiling
linked data
user profiles
big data
natural language processing
artificial intelligence
explainableai
linked open data
social media
semantic web
machine learning
explanation
recsys
justification
explainability
personal data
smart cities
holistic user modeling
graph
content
entity linking
social networks
pagerank
content analytics
deep learning
dbpedia
hybrid recommender systems
twitter
hatemap
knowledge graphs
opinion mining
distributional models
ia
content-based recommender
computer science
hate speech
maps
classification
graphs
contextual
review
2.0
web
based
content-based
folksonomy
text analytics
data science
text classification
social
vector space model
transparency
personalized services
chatbots
collaborative filtering
conversational agents
food recommendation
case-based reasoning
quantified self
music
finance
intelligenza artificiale
context-aware
ai
music recommendation
information retrieval
analysis
java
indexing
quantum
feature selection
data visualization
random indexing
racism
evsm
recommender system
women
homophobia
disability
italian
negation
vdm
content based recommender systems information filt
super six world boxing classic
recommender content-based semantic vectors vsm ran
intolerance
personal finance
heat map
random
umap
semantic vectors information filtering recommender
tag recommendation ir retrieval personalization
lexicon
microblog
library
wealth management
diversity
portfolios
services
deep
systems
mahout
dialogue
query
graph embedding
summarization
text summarization
empowerment
natural language generation
user study
users
user-generated content
reviews
web application
data tracking
segmentation
company profiles
sensors
architecture
platform
medicine
medicina
nlp
digital assistant
personal digital assistant
question answering
benchmark
popularity bias
fairness
explanations
food choices
decision-making
health
health-aware recommender systems
health-aware recommendations
food recommender systems
distributional semantics
recipe recommendation
recipe
food
knowledge-based recommender
rnns
recurrent neural networks
representation
neural networks
conference
workshop
temporal dynamics
holistic
tutorial
wikipedia
ontologies
crowdsourcing
profiles
social data
semantic analysis
monitoring
trends
laquila
social capital
social network
knowledge
personalized medicine
otolaryngology
mhealth
m-health
e-health
ehealth
classifiers
data
black mirror
technology
social networking
computers
analytics
overview
uniba
literature
universita di bari
state of the art
content-based recommender systems
Ver más