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Yang Liu
Yang Liu
Doctoral student, University of Helsinki
Verified email at helsinki.fi
Title
Cited by
Cited by
Year
Statistically significant detection of semantic shifts using contextual word embeddings
Y Liu, A Medlar, D Glowacka
arXiv preprint arXiv:2104.03776, 2021
312021
Lexical ambiguity detection in professional discourse
Y Liu, A Medlar, D Głowacka
Information Processing & Management 59 (5), 103000, 2022
242022
On the consistency, discriminative power and robustness of sampled metrics in offline top-n recommender system evaluation
Y Liu, A Medlar, D Glowacka
Proceedings of the 17th ACM Conference on Recommender Systems, 1152-1157, 2023
102023
What we evaluate when we evaluate recommender systems: Understanding recommender systems’ performance using item response theory
Y Liu, A Medlar, D Glowacka
Proceedings of the 17th ACM Conference on Recommender Systems, 658-670, 2023
102023
Nobody wants to work anymore: An analysis of r/antiwork and the interplay between social and mainstream media during the great resignation
A Medlar, Y Liu, D Glowacka
arXiv preprint arXiv:2210.07796, 2022
92022
Rogue: A system for exploratory search of gans
Y Liu, A Medlar, D Glowacka
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
72022
On the negative perception of cross-domain recommendations and explanations
D Kotkov, A Medlar, Y Liu, D Glowacka
Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024
42024
Can language models identify Wikipedia articles with readability and style issues?
Y Liu, A Medlar, D Glowacka
Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021
32021
Assessing text readability and quality with language models
Y Liu
Helsingin yliopisto, 2020
32020
Sample, nudge and rank: Exploiting interpretable GAN controls for exploratory search
Y Liu, A Medlar, D Głowacka
Proceedings of the 29th International Conference on Intelligent User …, 2024
22024
Critiquing-based Modeling of Subjective Preferences
A Medlar, J Li, Y Liu, D Glowacka
Proceedings of the 30th ACM Conference on User Modeling, Adaptation and …, 2022
2*2022
Disentangling User and Item Sequence Patterns in Sequential Recommendation Data Sets
K Liu, Y Liu, A Medlar, D Glowacka
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 570-574, 2025
2025
Don't Get Ahead of Yourself: A Critical Study on Data Leakage in Offline Evaluation of Sequential Recommenders
HH Le, Y Liu, A Medlar, D Glowacka
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 1164-1168, 2025
2025
Methodological and extrinsic challenges in offline evaluation of recommender systems
Y Liu
Helsingin yliopisto, 2025
2025
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Articles 1–14