4 papers
SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life
Seokho Ahn, Hyungjin Kim, Euijong Lee +1
The collection of accurate and noise-free data is a crucial part of Internet of Things (IoT)-controlled environments. However, the data collected from various sensors in daily life…
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
Minhye Jeon, Seokho Ahn, Young-Duk Seo
The use of knowledge graphs in recommender systems has become one of the common approaches to addressing data sparsity and cold start problems. Recent advances in large language mo…
RecKG: Knowledge Graph for Recommender Systems
Junhyuk Kwon, Seokho Ahn, Young-Duk Seo
Knowledge graphs have proven successful in integrating heterogeneous data across various domains. However, there remains a noticeable dearth of research on their seamless integrati…
Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series
Seokho Ahn, Hyungjin Kim, Sungbok Shin +1
Precise measurements from sensors are crucial, but data is usually collected from low-cost, low-tech systems, which are often inaccurate. Thus, they require further calibrations. T…