Peijie Sun

Orcid: 0000-0001-9733-0521

According to our database1, Peijie Sun authored at least 37 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., May, 2024

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty.
Dataset, March, 2024

Large Language Models as Evaluators for Recommendation Explanations.
CoRR, 2024

A User-Centric Benchmark for Evaluating Large Language Models.
CoRR, 2024

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model.
CoRR, 2024

A Situation-aware Enhancer for Personalized Recommendation.
CoRR, 2024

Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations.
CoRR, 2024

Understanding User Experience in Large Language Model Interactions.
CoRR, 2024

Intersectional Two-sided Fairness in Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Sequential Recommendation with Latent Relations based on Large Language Model.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Large Language Models as Evaluators for Recommendation Explanations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

ReChorus2.0: A Modular and Task-Flexible Recommendation Library.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Double Correction Framework for Denoising Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Multimodal Graph Contrastive Learning for Multimedia-Based Recommendation.
IEEE Trans. Multim., 2023

Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Intent-aware Ranking Ensemble for Personalized Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Understanding User Immersion in Online Short Video Interaction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation.
ACM Trans. Inf. Syst., 2022

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

A Review-aware Graph Contrastive Learning Framework for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ProFairRec: Provider Fairness-aware News Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Self-Supervised Cross Domain Social Recommendation.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

2021
Collaborative Neural Social Recommendation.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Meta-learned ID Embeddings for Online Inductive Recommendation.
Proceedings of the Information Retrieval - 27th China Conference, 2021

2020
Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Context-Aware Learning for Anomaly Detection with Imbalanced Log Data.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019
A Neural Influence Diffusion Model for Social Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation.
CoRR, 2018

Attentive Recurrent Social Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Contextual Attention Model for Social Recommendation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018


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