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Automated Disentangled Sequential Recommendation with Large Language Models

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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2009 IEEE Conference on Computer Vision and Pattern Recognition

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Global-Local Mutual Attention Model for Text Classification

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Intention-Aware Sequential Recommendation With Structured Intent Transition

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GroupLens

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Review of Deep Learning and Large Language Models for Cold Start Problem in Recommender Systems

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Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 1

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Aligning Large Multimodal Model with Sequential Recommendation via Content-Behavior Guidance

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Analyzing Thematic Evolution in Literary Texts via Chain-of-Thought Prompting and Dual-Channel Adversarial Modeling

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FlowPilot: A Suggestion System for Designing Scientific Workflows

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Multi-Stage Alignment of Large Language Models for Popularity Bias Mitigation in Generative Movie Recommendation

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Large Language Models for Recommender Systems: A Problem-Driven Survey

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