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Marko Tkalcic
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Publications
- 2024
- [j17]Elham Motamedi, Danial Khosh Kholgh, Sorush Saghari, Mehdi Elahi, Francesco Barile, Marko Tkalcic:
Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Inf. Process. Manag. 61(2): 103610 (2024) - 2021
- [j13]Mehdi Elahi, Danial Khosh Kholgh, Mohammad Sina Kiarostami, Sorush Saghari, Shiva Parsa Rad, Marko Tkalcic:
Investigating the impact of recommender systems on user-based and item-based popularity bias. Inf. Process. Manag. 58(5): 102655 (2021) - [c58]Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Reza Hosseini, Mohammad Hossein Rimaz, Nabil El Ioini, Marko Tkalcic, Christoph Trattner, Tammam Tillo:
Recommending Videos in Cold Start With Automatic Visual Tags. UMAP (Adjunct Publication) 2021: 54-60 - 2019
- [c52]Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt:
Prediction of music pairwise preferences from facial expressions. IUI 2019: 150-159 - [c50]Farshad Bakhshandegan Moghaddam, Mehdi Elahi, Reza Hosseini, Christoph Trattner, Marko Tkalcic:
Predicting Movie Popularity and Ratings with Visual Features. SMAP 2019: 1-6 - [c48]Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini, Marko Tkalcic:
Exploring the Power of Visual Features for the Recommendation of Movies. UMAP 2019: 303-308 - 2017
- [c38]Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt:
A Research Tool for User Preferences Elicitation with Facial Expressions. RecSys 2017: 353-354 - 2013
- [c9]Mehdi Elahi, Matthias Braunhofer, Francesco Ricci, Marko Tkalcic:
Personality-Based Active Learning for Collaborative Filtering Recommender Systems. AI*IA 2013: 360-371
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last updated on 2024-08-20 22:53 CEST by the dblp team
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