University of Bergen
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Bergen Norway
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Education
Website
scholar.google.it/citations?user=aUWF7LYAAAAJ
About
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".
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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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Personal Information
Organization / Workplace
Bergen Norway
Industry
Education
Website
scholar.google.it/citations?user=aUWF7LYAAAAJ
About
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
See more