University of Bergen
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Mehdi Elahi is an Associate Professor at University of Bergen (Norway). He is a co-founder of DARS Lab @Ui0 (dars.uib.no). Beforehand, he has also been an Assistant Professor at Free University of Bozen - Bolzano (Italy) for more than 3 years.
Over the past 10 years, Mehdi has researched on Recommender Systems, mainly focused on the Cold Start problem. He has designed, developed, and evaluated (offline/online) several personalized techniques for Active Learning in recommender systems. These techniques were integrated in a mobile context-aware recommender system for tourism, called "South Tyrol Suggests".
Tags
recommender system
multimedia
active learning
movielens
collaborative filtering
personality
interaction design
hci
human computer interaction
visual features mpeg-7 mise-en-scene
audio visual
recsys
movie making
video analysis
context-aware
recommender systems
movie
film
machine learning
data mining
visual
travel and tourism
tourism
psychology
evaluation
cold start
a/b test
kids
children
audio
art
emotion
sentiment analysis
semantic gap
computer vision
signal processing
karlsruhe institute of technology
free university of bozen - bolzano
politecnico di milano
design
image analysis
demographics
cold-start
boltzmann
recency-weighted
stationary
optimal action value
associative
exploration
bakker
sutton
policy
rothkopf
estimation
slot machine
exploitation
n-armed bandit
ξ-greedy
netflix
youtube
genre
information retrieval
video sharing
information technology
conten-based
tags
survey
review
context-awareness
rating elicitation
preference elicitation
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