September 2026 | Data Processing Club

User-Side Realization as a Catalyst, and the Potential of LLM Agents as Powerful Catalysts

paper: https://joisino.net/papers/catalyst/ Introduction The web is home to many large platforms, including video-sharing and social networking services. These platforms keep users firmly locked in through factors such as the data users have accumulated on them and the network effects arising from the presence of large numbers of other users. This makes it difficult for better […]

iAgent: LLM Agent as a Shield between User and Recommender Systems Overlooks the Literature on User-Side Recommender Systems

iAgent [Xu et al., ACL 2025] proposes placing an agent between a provider-side recommender system and the user. The agent searches for relevant knowledge and reranks the recommendations produced by the platform, with the goal of obtaining rankings that better reflect the user’s preferences. The paper motivates this approach as follows: Traditional recommender systems usually

iAgent: LLM Agent as a Shield between User and Recommender Systems Overlooks the Literature on User-Side Recommender Systems Read Post »