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Focusing on Recommender Systems, Information Retrieval, LLMs, and GeoAI.
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City University of Hong Kong
- Hong Kong
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19:50
(UTC +08:00) - https://jia-py.github.io/
Highlights
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Applied-Machine-Learning-Lab/ERASE
Applied-Machine-Learning-Lab/ERASE PublicCode for the Paper "ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems"
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Applied-Machine-Learning-Lab/G3
Applied-Machine-Learning-Lab/G3 PublicCode repository for paper: "G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models"
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Applied-Machine-Learning-Lab/MILL
Applied-Machine-Learning-Lab/MILL PublicThis is the code repo for paper "MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion"
Python 6
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Applied-Machine-Learning-Lab/Joint-Modeling-in-Deep-Recommender-Systems-WWW2025
Applied-Machine-Learning-Lab/Joint-Modeling-in-Deep-Recommender-Systems-WWW2025 PublicGithub Pages for Joint Modeling in Deep Recommender Systems Tutorial (WWW'2025)
SCSS 1
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Applied-Machine-Learning-Lab/2nd-AgentIR-Workshop-SIGIR-2025
Applied-Machine-Learning-Lab/2nd-AgentIR-Workshop-SIGIR-2025 PublicJavaScript
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