Yashar Deldjoo

Yashar Deldjoo

Visiting Doctoral Researcher
Department of Computational Perception
Johannes Kepler University Linz
Altenberger Str. 69, A-4040 Linz, Austria
Science Park 3, 4th Floor
Room 404

E-Mail:

Personal Webpage: http://ydeldjoo.me

Current Position
Research Interests
Education
Research Experience
Publications

Current Position

Visiting Doctoral Researcher in the Department of Computational Perception at Johannes Kepler University Linz, Austria.

Research Interests

Recommender Systems
Multimedia/Information Retrieval
Video Content Analysis
Machine Learning

Education

Ph.D. student in Recommender Systems, Politecnico di Milano, Italy

PhD Topic: Recommender Systems of the Multmedia Content using Low-Level Audio and Visual Features
Involved in Organizing the ACM Recommender Systems Challenge 2017 as part of the ACM conference on Recommender Systems 2017 (RecSys 2017)
Supervised by Prof. Paolo Cremonesi (Recommender Systems)
Co-Superviser at Linz Markus Schedl (Multimedia Retrieval)
PhD Scholarship funded by Telecom Italia, Joint Open Lab (JOL)

M.S.c in Electrical Engineering, Chalmers Univeristy of Technology, Gotheburg, Sweden

2-year Program, GPA: 3.8/4.0, Honors: First Rank
Master thesis title: Wii-Remote Based Head Tracking in 3D Audio Rendering, Multimedia Department of Ericsson Research, Stockholm, Sweden
Courseworks done in Blekinge Institute of Technology (BTH), Royal Institute of Technology (KTH) and Chalmers University of Techmology (CTH) (Sweden)

B.A.in English, University of Gothenburg, Gothenburg, Sweden

3-year Program
Bachelor thesis title: A study of Automatic Image Annotation Using Baseline Techniques
Courseworks done in Blekinge Institute of Technology (BTH), Stockholm University and University of Gothenburg (Sweden)

B.S.c in Electrical Engineering, University of Guilan, Rasht, Iran

4-year Program, GPA: 3.4/4.0, Honors: First Rank

Research Experience

Visiting Research Period , Johannes Kepler University Linz, Dept. of Computational Perception, Linz, Austria, May/October 2017
PhD Research, Dept. of Electronics, Information and Bioengineering (DEIB), Milan, ITALY, 2014/2018
Research Engineer (as part of PhD research), Telecom Italia, Joint Open Lab (JOL), Milan, ITALY, 2014/2017
Research Assistant (full-time employment), Chalmers University of Technology, Dept. of Signal and Systems (SS), Gothenburg, Sweden, Nov 2010/Feb 2011
Research Internship, Télécom ParisTech, Department of Signal and Image Processing (TSI), Paris, FRANCE, Aug/Oct 2010
Master thesis, Ericsson Research, Department of Multimedia Technologies, Stockholm, Sweden, Nov 2008/June 2009.

Publications

Journals

Content-based Video Recommendation System based on Stylistic Visual Features
Yashar Deldjoo, M. Elahi, P. Cremonesi, F. Garzotto, P. Piazzolla, M. Quadrana
Springer International Publishing – Special Issue on Recommender Systems, Journal of Data Semantic, 2016
>> PDF, BibTeX, RG

A Low-Cost Infrared-Optical Head Tracking Solution for Virtual 3D Audio Environment Using the Nintendo Wii-Remote
Yashar Deldjoo, R. Ebrahimi Atani
Elsevier – Journal of Entertainment Computing, Volume 12, pages 9-27, Jan 2016
>> PDF, BibTeX, RG

Peer-reviewed Conference and Workshop Proceedings (Selected)

Exploring The Semantic Gap for Movie Recommendation
M. Elahi, Yashar Deldjoo, F. B. Moghaddam, L. Cella, S. Cereda, P. Cremonesi
Proceedings of 11th ACM Conference of Recommender Systems (RecSys 2017), Como, Italy, August 2017 (accepted)
>> PDF, BibTeX, RG

The effect of different video summarization models on the quality of video recommendation based on low-level visual featuress
Yashar Deldjoo,P. Cremonesi, M. Schedl, M. Quadrana
ACM international Workshop on Content-Based Multimedia Indexing (CBMI 2017), June 19-21 2017, Firenze, Italy
>> PDF, BibTeX, RG

Using Visual Features and Latent Factors for Movie Recommendation
Yashar Deldjoo, M. Elahi, P. Cremonesi
Proceedings of the 11th ACM Conference of Recommender Systems (RecSys 2016): Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016), Massachusetts Institute of Technology (MIT), USA, Sep 2016.
>> PDF, BibTeX, RG

Recommending Movies Based on Mise-en-Scène Design
Yashar Deldjoo, M. Elahi, P. Cremonesi, F. Garzotto, P. Piazzolla
ACM Human Computer Interaction (CHI 2016) May 7 – 12 at San Jose, CA, USA
>> PDF, BibTeX, RG

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