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LLMCDSR: Enhancing Cross-Domain 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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GenRec: Large Language Model for Generative Recommendation

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COURIER: contrastive user intention reconstruction for large-scale visual recommendation

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Large-scale online job search behaviors reveal labor market shifts amid COVID-19

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Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation

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Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations

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Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations

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π-Net

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Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users

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A Survey on In-context Learning

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Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Cross-Domain Recommendation: An Embedding and Mapping Approach

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DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

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Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

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Neural Discrete Representation Learning

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Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

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Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

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Fairness-guided Few-shot Prompting for Large Language Models

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Is ChatGPT a Good Recommender? A Preliminary Study

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Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

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Behavioral Safety and Context Retention of Large Language Models in a Longitudinal ICU Simulation under Offline Conditions

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Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs

What points at this work

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

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Deep Hierarchical Attention Mechanism for Cross Domain Recommendation

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Continuous Sub-sequence Denoising For Sequential Recommendation

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Intra-domain Preference Modeling with Cross-Domain Dependency Alignment for Cross-Domain Sequential Recommendation

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A survey on sequential recommendation

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Enhanced Cross-Domain Recommendation System Using Collaborative Filtering and Transfer Learning Methods

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HGAT-Rec: a hierarchical graph attention framework for cross-domain e-commerce recommendation with heterogeneity-aware contrastive alignment

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Prompt-based cross-domain graph distillation network for smart tourism recommendation

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LLM2Emb: A two-stage LLM-based embedding framework for long-tail sequential recommendation

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LLM-powered contrastive hierarchical interest learning for cross-platform information recommendation

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Multi-LLM semantic fusion with uncertainty-aware GCNs for personalized recommendation

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BiTrans-CDSR: Bidirectional knowledge transfer for cross-domain sequential recommendation via joint user-item overlap modeling

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Discriminative cross-domain convolutional learning model for next basket recommender systems

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Domain-aware self-prompting for cross-domain sequential recommendations with natural language explanations

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Parallel Inductive Shift Learning Based Recommendation System

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Contrastive Hypergraph Flows With Multifaceted Gates for Cross-Domain Sequential Recommendation

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Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2

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DivCDSR: A Model-Agnostic Framework for Diverse Cross-Domain Sequential Recommendation

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Verifiable Federated Representation Learning for Cross-domain Sequential Recommendation

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CoDeR+: Interest-aware Counterfactual Reasoning for Sequential Recommendation

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Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation

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

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