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03/17/2023
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection
This paper presents the winning system for the zero-shot Spanish framing...
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03/01/2023
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations
Recent research has suggested different metrics to measure the inconsist...
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09/13/2022
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks
We present evidence for the existence and effectiveness of adversarial a...
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06/23/2022
ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations
User-based KNN recommender systems (UserKNN) utilize the rating data of ...
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09/14/2021
Position Paper on Simulating Privacy Dynamics in Recommender Systems
In this position paper, we discuss the merits of simulating privacy dyna...
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08/16/2021
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Several studies have identified discrepancies between the popularity of ...
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08/04/2021
Predicting Music Relistening Behavior Using the ACT-R Framework
Providing suitable recommendations is of vital importance to improve the...
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07/23/2021
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Recent work has shown that graph neural networks (GNNs) are vulnerable t...
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02/24/2021
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners
Music recommender systems have become an integral part of music streamin...
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01/18/2021
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints
In this paper, we explore the reproducibility of MetaMF, a meta matrix f...
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10/30/2020
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks
Graph Neural Networks (GNNs) are effective in many applications. Still, ...
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09/11/2020
Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes
Music preferences are strongly shaped by the cultural and socio-economic...
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03/30/2020
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
In this work, we study the utility of graph embeddings to generate laten...
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03/24/2020
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations
In this paper, we introduce a psychology-inspired approach to model and ...
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08/12/2019
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
In this paper, we present our work to support publishers and editors in ...
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08/12/2019
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets
This work addresses the problem of providing and evaluating recommendati...
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08/02/2019
The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach
In our work [KPL17], we study temporal usage patterns of Twitter hashtag...
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07/23/2019
Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations
Music recommender systems have become central parts of popular streaming...
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07/15/2019
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations
In this work, we present the findings of an online study, where we explo...
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06/12/2019
Exploiting weak ties in trust-based recommender systems using regular equivalence
User-based Collaborative Filtering (CF) is one of the most popular appro...
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01/02/2019
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems
Recommender systems have become important tools to support users in iden...
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09/11/2018
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views
In this work, we propose a content-based recommendation approach to incr...
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09/10/2018
Studying Confirmation Bias in Hashtag Usage on Twitter
The micro-blogging platform Twitter allows its nearly 320 million monthl...
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08/20/2018
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations
In this paper, we present work-in-progress on applying user pre-filterin...
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08/14/2018
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments
In this paper, we present preliminary results of AFEL-REC, a recommender...
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07/18/2018
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence
User-based Collaborative Filtering (CF) is one of the most popular appro...
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05/08/2018
Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms
In this paper, we study the imbalance between current state-of-the-art t...
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03/06/2018
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study
In this paper, we present the results of an online study with the aim to...
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11/21/2017
