All Stories

  1. Mind the Metric: Reproducibility and Fair Benchmarking of Spectral Graph Models for Collaborative Filtering
  2. Aligning Music Recommendations with Human Moods using Graph Learning
  3. CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
  4. Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
  5. Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
  6. D ata R ec : A Python Library for Standardized and Reproducible Data Management in Recommender Systems
  7. CoSRec: A Joint Conversational Search and Recommendation Dataset
  8. Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI Suggestion
  9. Formalizing Multimedia Recommendation through Multimodal Deep Learning
  10. Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
  11. Enhancing Sequential Music Recommendation with Personalized Popularity Awareness
  12. A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
  13. Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM)
  14. ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation
  15. Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis
  16. EmoSynth Real Time Emotion-Driven Sound Texture Synthesis via Brain-Computer Interface
  17. Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation
  18. Interactive Question Answering Systems: Literature Review
  19. KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs
  20. On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis
  21. Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation
  22. Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation
  23. A Review of Modern Fashion Recommender Systems
  24. KGTORe: Tailored Recommendations through Knowledge-aware GNN Models
  25. Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy
  26. Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
  27. Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives
  28. Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries
  29. An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework
  30. Interpretability of BERT Latent Space through Knowledge Graphs
  31. IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid
  32. Top-N Recommendation Algorithms: A Quest for the State-of-the-Art
  33. Aspect based sentiment analysis in music
  34. A Survey on Adversarial Recommender Systems
  35. Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021
  36. A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders
  37. Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization
  38. Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)
  39. Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
  40. Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications
  41. The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning
  42. V-Elliot: Design, Evaluate and Tune Visual Recommender Systems
  43. A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images
  44. Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
  45. Towards Improving Car Point-Cloud Tracking Via Detection Updates
  46. How to put users in control of their data in federated top-N recommendation with learning to rank
  47. Adversarial Learning for Recommendation: Applications for Security and Generative Tasks — Concept to Code
  48. How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models
  49. 2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS
  50. Formal model for user-centred adaptive mobile devices
  51. Sound and Music Recommendation with Knowledge Graphs
  52. SPrank
  53. Case-based reasoning and knowledge-graph based metamodel for runtime adaptive architectural modeling