All Stories

  1. Integrating Heterogeneous Knowledge for Enhanced Recommendation with Large Language Models
  2. Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances
  3. Recommending Healthy and Sustainable Meals exploiting Food Retrieval and Large Language Models
  4. Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm
  5. 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24)
  6. Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations
  7. Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces
  8. ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems
  9. Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings
  10. Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks
  11. Report on the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) at ACM RecSys 2023
  12. 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’23)
  13. Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint
  14. Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures
  15. Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations
  16. 5th Workshop on Explainable User Models and Personalised Systems (ExUM)
  17. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’22)
  18. Usage of neuro-symbolic graph embedding techniques with First-Order Logic Rules for recommendation
  19. FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services
  20. Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered Explanations
  21. Workshop on Explainable User Models and Personalised Systems (ExUM)
  22. A Virtual Assistant for the Movie Domain Exploiting Natural Language Preference Elicitation Strategies
  23. MQALD: Evaluating the impact of modifiers in question answering over knowledge graphs
  24. MyrrorBot : A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services
  25. Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations
  26. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21)
  27. Exploring the Effects of Natural Language Justifications in Food Recommender Systems
  28. Workshop on Explainable User Models and Personalized Systems (ExUM 2021)
  29. Improving preference elicitation in a conversational recommender system with active learning strategies
  30. Interfaces and Human Decision Making for Recommender Systems
  31. Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling
  32. UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization
  33. Towards a Knowledge-aware Food Recommender System Exploiting Holistic User Models
  34. Workshop on Explainable User Models and Personalized Systems (ExUM 2020)
  35. RecSys '19 joint workshop on interfaces and human decision making for recommender systems
  36. Combining text summarization and aspect-based sentiment analysis of users' reviews to justify recommendations
  37. UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization
  38. Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation
  39. A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention
  40. Embedding Knowledge Graphs for Semantics-aware Recommendations based on DBpedia
  41. Mapping Twitter hate speech towards social and sexual minorities: a lexicon-based approach to semantic content analysis
  42. Modeling concepts and their relationships for corpus-based query auto-completion
  43. Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features
  44. Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data
  45. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS)
  46. RecSys'12 workshop on human decision making in recommender systems