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08/19/2023
RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models
The recommendation ecosystem involves interactions between recommender s...
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08/14/2023
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation
Sequential recommendation demonstrates the capability to recommend items...
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07/29/2023
Recommendation Unlearning via Matrix Correction
Recommender systems are important for providing personalized services to...
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05/23/2023
Simulating News Recommendation Ecosystem for Fun and Profit
Understanding the evolution of online news communities is essential for ...
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04/23/2023
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
In dynamic interaction graphs, user-item interactions usually follow het...
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02/04/2023
Personalized Graph Signal Processing for Collaborative Filtering
The collaborative filtering (CF) problem with only user-item interaction...
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12/01/2022
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Many Click-Through Rate (CTR) prediction works focused on designing adva...
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10/15/2022
Parameter-free Dynamic Graph Embedding for Link Prediction
Dynamic interaction graphs have been widely adopted to model the evoluti...
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04/19/2022
Enhancing CTR Prediction with Context-Aware Feature Representation Learning
CTR prediction has been widely used in the real world. Many methods mode...
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01/24/2022
Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices
Emotion recognition in smart eyewear devices is highly valuable but chal...
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05/03/2021
MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture
This work presents MemX: a biologically-inspired attention-aware eyewear...
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04/09/2021
