Joanna Misztal-Radecka
Joanna Misztal-Radecka
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Cited by
Cited by
Poetry generation system with an emotional personality.
J Misztal, B Indurkhya
ICCC, 72-81, 2014
Computational poetry workshop: Making sense of work in progress
J Corneli, A Jordanous, R Shepperd, MT Llano, J Misztal, S Colton, ...
A blackboard system for generating poetry
J Misztal-Radecka, B Indurkhya
Computer Science 17 (2), 2016
Explaining Contextual Recommendations: Interaction Design Study and Prototype Implementation.
J Misztal, B Indurkhya
IntRS@ RecSys, 13-20, 2015
Incorporating human dimension in autonomous decision-making on moral and ethical issues
B Indurkhya, J Misztal-Radecka
2016 AAAI Spring Symposium Series, 2016
Building semantic user profile for Polish web news portal
J Misztal-Radecka
Computer Science 19 (3), 2018
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System
J Misztal-Radecka, D Rusiecki, M Żmuda, A Bujak
7th International Workshop on News Recommendation and Analytics (INRA 2019 …, 2019
On modeling cognitive and affective factors in legal decision-making
B Indurkhya, J Misztal-Radecka
Amsterdam: IOS Press, 2015
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems
J Misztal-Radecka, B Indurkhya, A Smywiński-Pohl
User Modeling and User-Adapted Interaction, 1-26, 2020
Getting to Know Your Neighbors (KYN). Explaining Item Similarity in Nearest Neighbors Collaborative Filtering Recommendations
J Misztal-Radecka, B Indurkhya
Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation …, 2020
A Computational Approach to Re-Interpretation: Generation of Emphatic Poems Inspired by Internet Blogs
J Misztal, B Indurkhya
2014 AAAI Fall Symposium Series, 2014
Bias-Aware Hierarchical Clustering for detecting the discriminated groups of users in recommendation systems
J Misztal-Radecka, B Indurkhya
Information Processing & Management 58 (3), 102519, 2021
When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations
J Misztal-Radecka, B Indurkhya
International Workshop on Algorithmic Bias in Search and Recommendation, 92-105, 2021
Persona Prototypes for Improving the Qualitative Evaluation of Recommendation Systems
J Misztal-Radecka, B Indurkhya
Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation …, 2020
Poetry Generation System
J Misztal
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