5 papers
RGAlign-Rec: Ranking-Guided Alignment for Latent Query Reasoning in Recommendation Systems
Junhua Liu, Yang Jihao, Cheng Chang +3
Proactive intent prediction is a critical capability in modern e-commerce chatbots, enabling "zero-query" recommendations by anticipating user needs from behavioral and contextual…
HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation
Kunrong Li, Zhu Sun, Kwan Hui Lim
We propose HyMoERec, a novel sequential recommendation framework that addresses the limitations of uniform Position-wise Feed-Forward Networks in existing models. Current approache…
RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
Kunrong Li, Kwan Hui Lim
Next point-of-interest (POI) recommendation predicts a user's next destination from historical movements. Traditional models require intensive training, while LLMs offer flexible a…
Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration
Haojia Gao, Haohua Que, Kunrong Li +7
Autonomous exploration in unknown environments is a critical challenge in robotics, particularly for applications such as indoor navigation, search and rescue, and service robotics…
Semantic Consistency Regularization with Large Language Models for Semi-supervised Sentiment Analysis
Kunrong Li, Xinyu Liu, Zhen Chen
Accurate sentiment analysis of texts is crucial for a variety of applications, such as understanding customer feedback, monitoring market trends, and detecting public sentiment. Ho…