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Enhancing Session-based Recommendation with Large Language Models: A Counterfactual Method
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Disentangled Sparse Graph Attention Networks with Multi-Intent Fusion for Session-based Recommendation
inferredcites →https://doi.org/10.1080/01621459.1986.10478354openalex-snapshot
Statistics and Causal Inference
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Causal Inference for Knowledge Graph Based Recommendation
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Causal Inference for Recommender Systems
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Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
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Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
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CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
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Unbiased Sequential Recommendation with Latent Confounders
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Causal Representation Learning for Out-of-Distribution Recommendation
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Causal Recommendation: Progresses and Future Directions
inferredcites →https://doi.org/10.1145/3543507.3583434openalex-snapshot
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
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AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
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ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
inferredcites →https://doi.org/10.1145/3616855.3635853openalex-snapshot
LLMRec: Large Language Models with Graph Augmentation for Recommendation
inferredcites →https://doi.org/10.1145/3640457.3688104openalex-snapshot
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
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User Behavior Simulation with Large Language Model-based Agents
inferredcites →https://doi.org/10.1609/aaai.v35i5.16557openalex-snapshot
U-BERT: Pre-training User Representations for Improved Recommendation
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.923openalex-snapshot
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
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