Tootfinder

DS4RS: Community-Driven and Explainable Dataset Search Engine for Recommender System Research
Xinyang Shao, Tri Kurniawan Wijaya
https://arxiv.org/abs/2508.10238 https://…

DS4RS: Community-Driven and Explainable Dataset Search Engine for Recommender System Research
Accessing suitable datasets is critical for research and development in recommender systems. However, finding datasets that match specific recommendation task or domains remains a challenge due to scattered sources and inconsistent metadata. To address this gap, we propose a community-driven and explainable dataset search engine tailored for recommender system research. Our system supports semantic search across multiple dataset attributes, such as dataset names, descriptions, and recommendatio…

LOKI: Proactively Discovering Online Scam Websites by Mining Toxic Search Queries
Pujan Paudel, Gianluca Stringhini
https://arxiv.org/abs/2509.12181 https://

LOKI: Proactively Discovering Online Scam Websites by Mining Toxic Search Queries
Online e-commerce scams, ranging from shopping scams to pet scams, globally cause millions of dollars in financial damage every year. In response, the security community has developed highly accurate detection systems able to determine if a website is fraudulent. However, finding candidate scam websites that can be passed as input to these downstream detection systems is challenging: relying on user reports is inherently reactive and slow, and proactive systems issuing search engine queries to …