Prediction of Eudaimonic and Hedonic Movie Characteristics from Subtitles. - Elham Motamedi; Marko Tkalcic (HCI-SI, 2021)

Predicting Music Relistening Behavior Using the ACT-R Framework. - Markus Reiter-Haas; Emilia Parada-Cabaleiro; Markus Schedl; Elham Motamedi; Marko Tkalcic; Elisabeth Lex (RecSys, 2021)

User-Centric Item Characteristics for Modeling Users and Improving Recommendations. - Elham Motamedi (UMAP, 2021)

Prediction of Hedonic and Eudaimonic Characteristics from User Interactions. - Marko Tkalcic; Elham Motamedi; Francesco Barile; Eva Puc; Ursa Mars Bitenc (UMAP (Adjunct Publication), 2022)

Eudaimonic and Hedonic Qualities as Predictors of Music Videos' Relevance to Users: A Human-Centric Study. - Elham Motamedi; Marko Tkalcic; Zoltán Szlávik (UMAP (Adjunct Publication), 2023)

User-centric item characteristics for personalized multimedia systems: A systematic review. - Elham Motamedi; Marko Tkalcic (Intelligenza Artificiale, 2023)

Taxonomy for Patent Classification: A Step Towards Intelligent Patent Analytics. - Elham Motamedi; Inna Novalija; Luis Rei (EKAW (Companion), 2024)

Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. - Elham Motamedi; Danial Khosh Kholgh; Sorush Saghari; Mehdi Elahi; Francesco Barile; Marko Tkalcic (Inf. Process. Manag., 2024)