24 citations · 42 across the 12 of their papers we have counts for
10 papers · 1 filter
Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks
Martin Böckling, Heiko Paulheim, Andreea Iana
Large Language Models (LLMs) have showcased impressive reasoning abilities, but often suffer from hallucinations or outdated knowledge. Knowledge Graph (KG)-based Retrieval-Augment…
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders
Andreea Iana, Goran Glavaš, Heiko Paulheim
Encoder architectures play a pivotal role in neural news recommenders by embedding the semantic and contextual information of news and users. Thus, research has heavily focused on…
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation
Andreea Iana, Fabian David Schmidt, Goran Glavaš +1
Rapidly growing numbers of multilingual news consumers pose an increasing challenge to news recommender systems in terms of providing customized recommendations. First, existing ne…
MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
Andreea Iana, Goran Glavaš, Heiko Paulheim
Digital news platforms use news recommenders as the main instrument to cater to the individual information needs of readers. Despite an increasingly language-diverse online communi…
NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation
Andreea Iana, Goran Glavaš, Heiko Paulheim
NewsRecLib is an open-source library based on Pytorch-Lightning and Hydra developed for training and evaluating neural news recommendation models. The foremost goals of NewsRecLib…
NeMig -- A Bilingual News Collection and Knowledge Graph about Migration
Andreea Iana, Mehwish Alam, Alexander Grote +5
News recommendation plays a critical role in shaping the public's worldviews through the way in which it filters and disseminates information about different topics. Given the cruc…
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
Andreea Iana, Goran Glavaš, Heiko Paulheim
Recent neural news recommenders (NNRs) extend content-based recommendation (1) by aligning additional aspects (e.g., topic, sentiment) between candidate news and user history or (2…
Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives
Andreea Iana, Goran Glavaš, Heiko Paulheim
The advent of personalized news recommendation has given rise to increasingly complex recommender architectures. Most neural news recommenders rely on user click behavior and typic…
Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection
Mehwish Alam, Andreea Iana, Alexander Grote +3
News recommender systems are used by online news providers to alleviate information overload and to provide personalized content to users. However, algorithmic news curation has be…
GraphConfRec: A Graph Neural Network-Based Conference Recommender System
Andreea Iana, Heiko Paulheim
In today's academic publishing model, especially in Computer Science, conferences commonly constitute the main platforms for releasing the latest peer-reviewed advancements in thei…