Datasets and Experimental Results for Stream-Batch Integrated Real-Time Recommendation Architecture Evaluation

This repository contains the datasets and experimental results used in the study of a stream-batch integrated architecture for real-time recommendation systems. Files included: 1. dac.tar.gz The Criteo Display Ads Challenge Dataset used for recommendation architecture evaluation. 2. Trigger Parameter Tuning.docx Experimental results of the Dynamic Time Interval Trigger parameter tuning process, including the optimal trigger parameters adopted in the architecture comparison experiments. These materials support the reproducibility of the experimental results reported in the associated research article.