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Shabnam Najafian, PhD
Shabnam Najafian, PhD
Data Specialist, DLL group
Verified email at dllgroup.com
Title
Cited by
Cited by
Year
Reading news with a purpose: Explaining user profiles for self-actualization
E Sullivan, D Bountouridis, J Harambam, S Najafian, F Loecherbach, ...
Adjunct Publication of the 27th Conference on User Modeling, Adaptation and …, 2019
322019
Generating consensus explanations for group recommendations: an exploratory study
S Najafian, N Tintarev
Adjunct Publication of the 26th Conference on User Modeling, Adaptation and …, 2018
202018
Factors influencing privacy concern for explanations of group recommendation
S Najafian, A Delic, M Tkalcic, N Tintarev
Proceedings of the 29th ACM Conference on user modeling, adaptation and …, 2021
182021
Tourexplain: A crowdsourcing pipeline for generating explanations for groups of tourists
Ö Kapcak, S Spagnoli, V Robbemond, S Vadali, S Najafian, N Tintarev
Proceedings of the Workshop on Recommenders in Tourism 2222, 2018
182018
Someone really wanted that song but it was not me! Evaluating Which Information to Disclose in Explanations for Group Recommendations
S Najafian, O Inel, N Tintarev
Proceedings of the 25th International Conference on Intelligent User …, 2020
162020
Recent studies of xai-review
ZF Hu, T Kuflik, IG Mocanu, S Najafian, A Shulner Tal
Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021
102021
Exploring user concerns about disclosing location and emotion information in group recommendations
S Najafian, T Draws, F Barile, M Tkalcic, J Yang, N Tintarev
Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 155-164, 2021
82021
You do not decide for me! evaluating explainable group aggregation strategies for tourism
S Najafian, D Herzog, S Qiu, O Inel, N Tintarev
Proceedings of the 31st ACM Conference on Hypertext and Social Media, 187-196, 2020
82020
Toward benchmarking group explanations: Evaluating the effect of aggregation strategies versus explanation
F Barile, S Najafian, T Draws, O Inel, A Rieger, R Hada, N Tintarev
Perspectives on the Evaluation of Recommender Systems Workshop 2021: co …, 2021
62021
Context-aware User Interaction for Mobile Recommender Systems.
S Najafian, W Wörndl, M Braunhofer
UMAP (Extended Proceedings), 2016
52016
Investigation of user rating behavior depending on interaction methods on smartphones
S Najafian, W Wörndl, B Lamche
Joint Workshop on Interfaces and Human Decision Making in Recommender …, 2014
52014
How do people make decisions in disclosing personal information in tourism group recommendations in competitive versus cooperative conditions?
S Najafian, G Musick, B Knijnenburg, N Tintarev
User Modeling and User-Adapted Interaction, 1-33, 2023
42023
Generating natural language explanations for group recommendations in high divergence scenarios
S Najafian
Proceedings of the 25th International Conference on Intelligent User …, 2020
42020
Evaluating explainable social choice-based aggregation strategies for group recommendation
F Barile, T Draws, O Inel, A Rieger, S Najafian, A Ebrahimi Fard, R Hada, ...
User Modeling and User-Adapted Interaction, 1-58, 2023
22023
To Share or Not to Share: Understanding and Modeling Individual Disclosure Preferences in Recommender Systems for the Workplace
G Musick, W Duan, S Najafian, S Sengupta, C Flathmann, B Knijnenburg, ...
Proceedings of the ACM on Human-Computer Interaction 8 (GROUP), 1-28, 2024
2024
Evaluating explainable social choice-based aggregation strategies for group recommendation
User Modeling and User-Adapted Interaction, 2023
2023
User Modeling for Privacy-preserving Explanations in Group Recommendations
S Najafian
2023
Someone really wanted that song but it was not me!
S Najafian, O Inel, N Tintarev
2020
Generating Consensus Explanations for Group Recommendations
S Najafian, N Tintarev
UMAP Latebreaking results, 2018
2018
The Effectiveness of Different Group Recommendation Strategies for Different Group Compositions
F Barile, T Draws, O Inel, A Rieger, S Najafian, AE Fard, R Hada, ...
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Articles 1–20