Personal Information
Unternehmen/Arbeitsplatz
Bari Area, Italy Italy
Beruf
Assistant Professor (Ricercatore a Tempo Determinato) presso Università degli Studi di Bari
Branche
Education
Info
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.
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Personal Information
Unternehmen/Arbeitsplatz
Bari Area, Italy Italy
Beruf
Assistant Professor (Ricercatore a Tempo Determinato) presso Università degli Studi di Bari
Branche
Education
Info
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.
Tags
semantics
recommender systems
personalization
recommender
recommendation
sentiment analysis
user modeling
user profiling
linked data
user profiles
artificial intelligence
big data
natural language processing
explainableai
linked open data
social media
explanation
recsys
semantic web
machine learning
justification
explainability
personal data
holistic user modeling
graph
smart cities
content
knowledge graphs
ia
hybrid recommender systems
deep learning
dbpedia
hatemap
content analytics
pagerank
twitter
entity linking
social networks
opinion mining
distributional models
content-based recommender
food recommendation
chatbots
conversational agents
ai
transparency
personalized services
quantified self
intelligenza artificiale
graphs
computer science
hate speech
review
text analytics
text classification
social
data science
content-based
maps
classification
contextual
context-aware
finance
case-based reasoning
collaborative filtering
music
music recommendation
vector space model
information retrieval
2.0
web
based
folksonomy
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
knowledge
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
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
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
racism
homophobia
disability
italian
women
data visualization
feature selection
analysis
deep
services
portfolios
diversity
wealth management
microblog
lexicon
umap
heat map
intolerance
vdm
personal finance
library
mahout
java
recommender system
evsm
random indexing
quantum
indexing
random
super six world boxing classic
negation
content based recommender systems information filt
recommender content-based semantic vectors vsm ran
semantic vectors information filtering recommender
tag recommendation ir retrieval personalization
systems
Mehr anzeigen