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Posts
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publications
Toward building a content-based video recommendation system based on low-level features
Published in Proceedings of the 16th International Conference on E-Commerce and Web Technologies, 2015
Recommended citation: Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi Proceedings of the 16th International Conference on E-Commerce and Web Technologies (EC-Web 2015).
Toward effective movie recommendations based on mise-en-scene film styles
Published in Proceedings of the 11th ACM Biannual Conference on Italian SIGCHI Chapter, 2015
Recommended citation: Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi Proceedings of the 11th ACM Biannual Conference on Italian SIGCHI Chapter (CHItaly 2015).
A low-cost infrared-optical head tracking solution for virtual 3D audio environment using the Nintendo Wii-remote
Published in International Journal of Entertainment Computing Elsevier, 2016
Recommended citation: Yashar Deldjoo, Reza Ebrahimi Atani
International Journal on Entertainment Computing 2016 .
Recommending movies based on mise-en-scene design
Published in Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2016
Recommended citation: Yashar Deldjoo, Paolo Cremonesi, Markus Schedl, Massimo Quadrana In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 1540-1547). ACM. (CHI Extended Abstracts 2016).
Content-based video recommendation system based on stylistic visual features
Published in International Journal on Data Semantics Springer, 2016
Recommended citation: Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla, Massimo Quadrana Journal on Data Semantics 2016.
How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?
Published in Proceedings of the 17th International Conference on E-Commerce and Web Technologies, 2016
Recommended citation: Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Farshad Bakhshandegan Moghaddam, Andrea Luigi Edoardo Caielli Proceedings of the 17th International Conference on E-Commerce and Web Technologies (EC-Web 2016).
Using Visual Features and Latent Factors for Movie Recommendation
Published in Workshop on New Trends in Content-based Recommender Systems as part of the 10th ACM Conference of Recommender Systems, 2016
Recommended citation: Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi Workshop on New Trends in Content-based Recommender Systems, 2016 (CBRecSys@RecSys 2016).
Letting Users Assist What to Watch: An Interactive Query-by-Example Movie Recommendation System
Published in Proceedings of the 8th Italian Information Retrieval Workshop, 2017
Recommended citation: Yashar Deldjoo, Cristina Frà, Massimo Valla, Paolo Cremonesi Proceedings of the 8th Italian Information Retrieval Workshop (IIR 2017).
The effect of different video summarization models on the quality of video recommendation based on low-level visual features
Published in Proceedings of the 15th ACM International Workshop on Content-Based Multimedia Indexing, 2017
Recommended citation: Yashar Deldjoo, Paolo Cremonesi, Markus Schedl, Massimo Quadrana Proceedings of the 15th ACM International Workshop on Content-Based Multimedia Indexing p. 20. (CBMI 2017).
Exploring The Semantic Gap for Movie Recommendation
Published in Proceedings of the 11th ACM Conference on Recommender Systems, 2017
Recommended citation: Mehdi Elahi, Yashar Deldjoo, Farshad B. Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi Proceedings of 11th ACM Conference of Recommender Systems 2017 (RecSys 2017).
Recsys Challenge 2017: Offline and Online Evaluation
Published in Proceedings of the 11th ACM Conference on Recommender Systems, 2017
Recommended citation: Fabian Abel, Yashar Deldjoo, Mehdi Elahi, Daniel Kohlsdorf In Proceedings of the Eleventh ACM Conference on Recommender Systems, (pp. 372-373). ACM, 2017 (RecSys 2017). </p> </article> </div> Published in International Society for Music Information Retrieval, 2017 Recommended citation: Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi International Society for Music Information Retrieval, 2017 (IMSIR LBD 2017). Published in International Journal of Multimedia Information Retrieval, 2018 Recommended citation: Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi International Journal of Multimedia Information Retrieval 2018 . Published in Proceedings of the 9th Italian Information Retrieval Workshop, 2018 Recommended citation: Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi Proceedings of the 9th Italian Information Retrieval Workshop (IIR 2018). Published in International Journal of Multimedia Information Retrieval, 2018 Recommended citation: Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi International Journal of Multimedia Information Retrieval 2018. Published in Proceedings of the 9th ACM Multimedia Systems Conference, 2018 Recommended citation: Yashar Deldjoo, Mihai Gabriel Constantin, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi Proceedings of the 9th ACM Multimedia Systems Conference 2018 (MMSys 2018). Published in IEEE Transactions on Knowledge and Data Engineering, 2018 Recommended citation: Vahid Jalili, Matteo Matteucci, Jeremy Goecks, Yashar Deldjoo, Stefano Ceri IEEE Transactions on Knowledge and Data Engineering 2018. Published in Proceedings of the 12th ACM Conference on Recommender Systems, 2018 Recommended citation: Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi Proceedings of 12th ACM Conference of Recommender Systems 2018 (RecSys 2018). Published in US Patent Application US20180089513A1, 2018 [GooglePatent] [PatentScope] [FreePatentsOnline] [bibtex] Recommended citation: Paolo Cremonesi, Mehdi Elahi, Yashar Deldjoo US Patent Application 2018 (US Patent 2018). Published in MediaEval 2018 Multimedia Benchmark Workshop, 2018 Recommended citation: Yashar Deldjoo, Mihai Gabriel Constantin, Athanasios Dritsas, Bogdan Ionescu, Markus Schedl MediaEval 2018 Workshop (MediaEval 2018). Published in MediaEval 2018 Multimedia Benchmark Workshop, 2018 Recommended citation: Fatemeh Nazary, Yashar Deldjoo Working Notes Proceedings of the MediaEval 2018 Workshop (MediaEval 2018). Published in Workshop on the Impact of Recommender Systems (ImpactRS) at 13th ACM Conference on Recommender Systems, 2019 Recommended citation: Yashar Deldjoo, Cristina Frà, Massimo Valla, Paolo Cremonesi Proceedings of the 8th Italian Information Retrieval Workshop (IIR 2017). Published in Proceedings of 13th ACM RecSys Workshop on Recommendation on the Impact of Recommender Systems, 2019 Recommended citation: Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra Workshop on the Impact of Recommender Systems at ACM RecSys 2019, 2019 (ImpactRS@RecSys'19). Published in Proceedings of 13th ACM RecSys Workshop on Recommendation in Multistakeholder Environments, 2019 Recommended citation: Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogin, Tommaso Di Noia Workshop on Recommendation in Multistakeholder Environments at ACM RecSys, 2019 (RMSE@RecSys 2019). Published in Proceedings of the 11th ACM Conference on Recommender Systems, 2018 Recommended citation: Yashar Deldjoo, Markus Schedl, Balazs Hidasi, Peter Kness Proceedings of 12th ACM Conference of Recommender Systems 2018 (RecSys 2018). Published in User Modeling and User-Adapted Interaction (UMUAI) - The Journal of Personalization Research, 2019 Recommended citation: Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-Zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi User Modeling and User-Adapted Interaction (UMUAI), 2019. Undergraduate course, University 1, Department, 2014 This is a description of a teaching experience. You can use markdown like any other post. Workshop, University 1, Department, 2015 This is a description of a teaching experience. You can use markdown like any other post. RECSYS CHALLENGE 2018: AUTOMATIC PLAYLIST CONTINUATION
Current Challenges and Visions in Music Recommender Systems Research
Content-Based Multimedia Recommendation Systems: Definition and Application Domains
Using Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation
MMTF-14K: A Multifaceted Movie Trailer Feature Dataset for Recommendation and Retrieval
Next Generation Indexing for Genomic Intervals
Audio-Visual Encoding of Multimedia Content to Enhance Movie RecommendationS
Enhanced content-based multimedia recommendation method
The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content
Movie Rating Prediction using Multimedia Content and Modeling as a Classification Problem
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Feature
Assessing the Impact of a User-Item Collaborative Attack on Class of Users
Recommender Systems Fairness Evaluation via Generalized Cross Entropy
Tutorial on Multimedia Recommender Systems
Movie Genome: Alleviating New Item Cold Start in Movie Recommendation
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teaching
Teaching experience 1
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