Human-Centered Recommender Systems

More workshops at The Web Conference 2026

• Applied AI and Multimodal Visualization Technologies — Explores the intersection of applied AI and multimodal visualization, bringing together researchers working on combining...
• Adverse Impacts and Collateral Effects of AI Technologies — Examines unintended harms from AI deployment on the web, including algorithmic bias, privacy erosion, misinformation...
• Augmented Intelligence in Technology-Assisted Review — Focuses on AI-assisted document review workflows in legal, medical, and scientific domains, covering active learning,...
• Computational Methods for Online Discourse Analysis — Investigates computational approaches to analysing online discourse, argumentation, stance detection, and the spread of claims...
• Diffusion of Harmful Content and Countering Misinformation — Addresses how harmful content and misinformation spread online and how large language models both contribute...
• Federated Foundation Models for the Web — Explores training and fine-tuning foundation models in federated settings, covering privacy-preserving learning, communication efficiency, and...
• Future of Information Integrity Research — Brings together researchers working on fact-checking, provenance, trust signals, and the long-term challenges of maintaining...
• Graph-enhanced LLMs for Trustworthy Web Data Management — Combines graph neural networks with large language models for knowledge graph construction, entity resolution, and...
• LLM and Agents for Recommendation Systems — Investigates how large language models and autonomous agents can improve recommendation quality, explanation, and personalisation...
• Multimodal Content Analysis for Social Good — Applies multimodal AI to socially beneficial problems including crisis response, health communication, accessibility, and combating...
• Prompt Engineering for Pre-Trained Language Models — Advances the science of prompting, covering chain-of-thought, few-shot learning, instruction tuning, and systematic prompt optimisation...
• Social Science Meets Web Data — Bridges computational methods and social science methodology for analysing web data, covering causal inference, survey...
• AI and Semantic Technologies for the Scientific and Legal Web — Applies semantic web technologies and AI to scientific publishing, patent analysis, legal document processing, and...
• Temporal Web Analytics — Studies the web as a temporal artifact, covering web archiving, link rot, temporal information retrieval,...
• Transformative Insights in Multi-faceted Evaluation — Explores new evaluation paradigms for web and AI systems, covering multi-dimensional metrics, human evaluation, and...
• Trustworthy Foundation Models for Web Intelligence — Addresses trustworthiness of foundation models deployed on the web through causal reasoning, robustness, fairness, and...
• Trustworthy Multimodal Learning for Social Media Analysis — Combines multimodal learning with trustworthiness requirements for social media tasks including rumour detection, sentiment analysis,...
• Data-Driven Smart Cities — Brings together researchers and practitioners applying web and data technologies to urban mobility, smart infrastructure,...
• Spatio-Temporal Data Mining from the Web — Advances methods for mining location- and time-stamped data from social media, mobility platforms, and the...
• Zero-knowledge Proof and Blockchain for Web 4.0 — Explores cryptographic primitives and blockchain architectures enabling privacy-preserving, decentralised, and verifiable applications for the next...