Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev (2021), Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations, In HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media p.155-164, Association for Computing Machinery (ACM).

Shabnam Najafian, Amra Delic, Marko Tkalcic, Nava Tintarev (2021), Factors influencing privacy concern for explanations of group recommendation, In UMAP 2021 - Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization p.14-23, Association for Computing Machinery (ACM).

Zhongli Filippo Hu, Tsvi Kuflik, Ionela Georgiana Mocanu, Shabanam Najafian, Avital Shulner-Tal (2021), Recent Studies of XAI - Review, In UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization p.421-431, Association for Computing Machinery (ACM).

Shabnam Najafian (2020), Generating Natural Language Explanations for Group Recommendations in High Divergence Scenarios, In Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020 p.31-32.

Shabnam Najafian, Oana Inel, Nava Tintarev (2020), Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations, In Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020 p.85-86, Association for Computing Machinery (ACM).

Emily Sullivan, Dimitrios Bountouridis, Jaron J. Harambam, Shabnam Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Daricia Wilkinson, David Graus, Nava Tintarev (2019), Reading news with a purpose: Explaining user profiles for self-actualization, In ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization p.241-245, Association for Computing Machinery (ACM).

Shabnam Najafian, Nava Tintarev (2018), Generating Consensus Explanations for Group Recommendations: An exploratory study, In UMAP '18 Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization p.245-250, Association for Computer Machinery.

Öykü Kapcak, Simone Spagnoli, Vincent Robbemond, Soumitri Vadali, Shabnam Najafian, Nava Tintarev (2018), TourExplain: A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists, Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Markus Zanker (Eds.), In Proceedings of the Workshop on Recommenders in Tourism p.33-36, CEUR.