Shabnam Najafian

According to our database, Shabnam Najafian authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

How do people make decisions in disclosing personal information in tourism group recommendations in competitive versus cooperative conditions?

Shabnam Najafian, Geoff Musick, Bart P. Knijnenburg, Nava Tintarev

User Model. User Adapt. Interact., July, 2024

Evaluating explainable social choice-based aggregation strategies for group recommendation.

Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev

User Model. User Adapt. Interact., March, 2024

To Share or Not to Share: Understanding and Modeling Individual Disclosure Preferences in Recommender Systems for the Workplace.

Geoff Musick, Wen Duan, Shabnam Najafian, Subhasree Sengupta, Christopher Flathmann, Bart P. Knijnenburg, Nathan J. McNeese

Proc. ACM Hum. Comput. Interact., 2024

2023

User Modeling for Privacy-preserving Explanations in Group Recommendations.

Shabnam Najafian

PhD thesis, 2023

2021

Factors Influencing Privacy Concern for Explanations of Group Recommendation.

Shabnam Najafian, Amra Delic, Marko Tkalcic, Nava Tintarev

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Recent Studies of XAI - Review.

Zhongli Filippo Hu, Tsvi Kuflik, Ionela Georgiana Mocanu, Shabnam Najafian, Avital Shulner-Tal

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation.

Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations.

Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev

Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

2020

Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations.

Shabnam Najafian, Oana Inel, Nava Tintarev

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Generating Natural Language Explanations for Group Recommendations in High Divergence Scenarios.

Shabnam Najafian

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism.

Shabnam Najafian, Daniel Herzog, Sihang Qiu, Oana Inel, Nava Tintarev

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

2019

Reading News with a Purpose: Explaining User Profiles for Self-Actualization.

Emily Sullivan, Dimitrios Bountouridis, Jaron Harambam, Shabnam Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Daricia Wilkinson, David Graus, Nava Tintarev

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

2018

Generating Consensus Explanations for Group Recommendations: an exploratory study.

Shabnam Najafian, Nava Tintarev

Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

TourExplain: A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists.

Öykü Kapcak, Simone Spagnoli, Vincent Robbemond, Soumitri Vadali, Shabnam Najafian, Nava Tintarev

Proceedings of the Workshop on Recommenders in Tourism, 2018

2016

Context-aware User Interaction for Mobile Recommender Systems.

Shabnam Najafian, Wolfgang Wörndl, Matthias Braunhofer

Proceedings of the Late-breaking Results, 2016