{"total":79,"rows":[{"id":"2206.05941","title":"Towards Universal Sequence Representation Learning for Recommender Systems","created":"2022-06-13","cited_by_count":121,"area":null},{"id":"2210.12316","title":"Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders","created":"2022-10-22","cited_by_count":112,"area":null},{"id":"2405.20646","title":"LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation","created":"2024-05-31","cited_by_count":47,"area":null},{"id":"2302.02173","title":"A Survey on Deep Learning based Time Series Analysis with Frequency Transformation","created":"2023-02-04","cited_by_count":40,"area":null},{"id":"2204.11067","title":"CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space","created":"2022-04-23","cited_by_count":37,"area":null},{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2308.11175","title":"MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation","created":"2023-08-22","cited_by_count":31,"area":null},{"id":"2312.10325","title":"An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention","created":"2023-12-16","cited_by_count":28,"area":null},{"id":"2304.08382","title":"MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation","created":"2023-04-17","cited_by_count":18,"area":null},{"id":"2305.10822","title":"When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation","created":"2023-05-18","cited_by_count":17,"area":null},{"id":"2206.11433","title":"Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles","created":"2022-06-23","cited_by_count":15,"area":null},{"id":"2502.02854","title":"TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation","created":"2025-02-05","cited_by_count":13,"area":null},{"id":"2401.05975","title":"End-to-end Learnable Clustering for Intent Learning in Recommendation","created":"2024-01-11","cited_by_count":10,"area":null},{"id":"2408.08208","title":"LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation","created":"2024-08-15","cited_by_count":10,"area":null},{"id":"2403.09209","title":"LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection","created":"2024-03-14","cited_by_count":8,"area":null},{"id":"2404.08675","title":"RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm","created":"2024-04-06","cited_by_count":8,"area":null},{"id":"2504.04405","title":"Universal Item Tokenization for Transferable Generative Recommendation","created":"2025-04-06","cited_by_count":7,"area":null},{"id":"2404.12969","title":"Disentangling ID and Modality Effects for Session-based Recommendation","created":"2024-04-19","cited_by_count":6,"area":null},{"id":"2407.12415","title":"Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting","created":"2024-07-17","cited_by_count":6,"area":null},{"id":"2401.06633","title":"Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations","created":"2024-01-12","cited_by_count":5,"area":null},{"id":"2406.10244","title":"GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems","created":"2024-06-06","cited_by_count":4,"area":null},{"id":"2409.05872","title":"CSRec: Rethinking Sequential Recommendation from A Causal Perspective","created":"2024-08-23","cited_by_count":4,"area":null},{"id":"2409.06377","title":"MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation","created":"2024-09-10","cited_by_count":4,"area":null},{"id":"2410.17276","title":"Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation Models","created":"2024-10-08","cited_by_count":4,"area":null},{"id":"2412.07382","title":"Temporal Linear Item-Item Model for Sequential Recommendation","created":"2024-12-10","cited_by_count":4,"area":null},{"id":"2504.04400","title":"Pre-training Generative Recommender with Multi-Identifier Item Tokenization","created":"2025-04-06","cited_by_count":4,"area":null},{"id":"2308.02925","title":"ConvFormer: Revisiting Transformer for Sequential User Modeling","created":"2023-08-05","cited_by_count":3,"area":null},{"id":"2310.09983","title":"Farzi Data: Autoregressive Data Distillation","created":"2023-10-15","cited_by_count":3,"area":null},{"id":"2402.16078","title":"Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs","created":"2024-02-25","cited_by_count":3,"area":null},{"id":"2408.11372","title":"Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation","created":"2024-08-21","cited_by_count":3,"area":null},{"id":"2503.01711","title":"MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment","created":"2025-03-03","cited_by_count":3,"area":null},{"id":"2510.21276","title":"Pctx: Tokenizing Personalized Context for Generative Recommendation","created":"2025-10-24","cited_by_count":3,"area":null},{"id":"2407.14743","title":"Denoising Long- and Short-term Interests for Sequential Recommendation","created":"2024-07-20","cited_by_count":2,"area":null},{"id":"2511.06285","title":"Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation","created":"2025-11-09","cited_by_count":2,"area":null},{"id":"2305.14675","title":"TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2306.11986","title":"Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity","created":"2023-06-21","cited_by_count":1,"area":null},{"id":"2402.12733","title":"BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation","created":"2024-02-20","cited_by_count":1,"area":null},{"id":"2505.16308","title":"Beyond All-to-All: Causal-Aligned Transformer with Dynamic Structure Learning for Multivariate Time Series Forecasting","created":"2025-05-22","cited_by_count":1,"area":null},{"id":"2605.01726","title":"FEDIN: Frequency-Enhanced Deep Interest Network for Click-Through Rate Prediction","created":"2026-05-03","cited_by_count":1,"area":null},{"id":"2605.17779","title":"Learning Variable-Length Tokenization for Generative Recommendation","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2606.01670","title":"Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2606.11023","title":"Generative Archetype-Grounded Item Representations for Sequential Recommendation","created":"2026-06-09","cited_by_count":1,"area":null},{"id":"2609.30576","title":"T-RoPE: Time-Aware Rotary Position Embedding for Sequential Recommendation","created":"2026-09-24","cited_by_count":1,"area":null},{"id":"2204.04883","title":"Accurate Portraits of Scientific Resources and Knowledge Service Components","created":"2022-04-11","cited_by_count":0,"area":null},{"id":"2204.04888","title":"Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences","created":"2022-04-11","cited_by_count":0,"area":null},{"id":"2204.06142","title":"Retrieval of Scientific and Technological Resources for Experts and Scholars","created":"2022-04-13","cited_by_count":0,"area":null},{"id":"2204.06221","title":"Research on Intellectual Property Resource Profile and Evolution Law","created":"2022-04-13","cited_by_count":0,"area":null},{"id":"2204.08476","title":"Research on Domain Information Mining and Theme Evolution of Scientific Papers","created":"2022-04-18","cited_by_count":0,"area":null},{"id":"2204.09333","title":"Profiling and Evolution of Intellectual Property","created":"2022-04-20","cited_by_count":0,"area":null},{"id":"2206.06804","title":"Recommender Transformers with Behavior Pathways","created":"2022-06-13","cited_by_count":0,"area":null},{"id":"2301.07854","title":"FE-TCM: Filter-Enhanced Transformer Click Model for Web Search","created":"2023-01-19","cited_by_count":0,"area":null},{"id":"2306.12857","title":"Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints","created":"2023-06-22","cited_by_count":0,"area":null},{"id":"2306.12859","title":"Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering","created":"2023-06-22","cited_by_count":0,"area":null},{"id":"2308.11204","title":"A Simple Framework for Multi-mode Spatial-Temporal Data Modeling","created":"2023-08-22","cited_by_count":0,"area":null},{"id":"2310.16063","title":"Enhancing Traffic Prediction with Learnable Filter Module","created":"2023-10-24","cited_by_count":0,"area":null},{"id":"2311.00296","title":"Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network","created":"2023-11-01","cited_by_count":0,"area":null},{"id":"2311.00300","title":"Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion","created":"2023-11-01","cited_by_count":0,"area":null},{"id":"2311.00314","title":"Federated Topic Model and Model Pruning Based on Variational Autoencoder","created":"2023-11-01","cited_by_count":0,"area":null},{"id":"2311.02564","title":"Relation Extraction Model Based on Semantic Enhancement Mechanism","created":"2023-11-05","cited_by_count":0,"area":null},{"id":"2311.02566","title":"Topic model based on co-occurrence word networks for unbalanced short text datasets","created":"2023-11-05","cited_by_count":0,"area":null},{"id":"2408.00326","title":"Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity","created":"2024-08-01","cited_by_count":0,"area":null},{"id":"2410.11378","title":"Trust-free Personalized Decentralized Learning","created":"2024-10-15","cited_by_count":0,"area":null},{"id":"2410.18087","title":"CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform","created":"2024-10-08","cited_by_count":0,"area":null},{"id":"2411.01785","title":"Transferable Sequential Recommendation via Vector Quantized Meta Learning","created":"2024-11-04","cited_by_count":0,"area":null},{"id":"2507.23664","title":"Personalized Education with Ranking Alignment Recommendation","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2508.10312","title":"Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2508.20427","title":"Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective","created":"2025-08-28","cited_by_count":0,"area":null},{"id":"2509.21179","title":"IntSR: An Integrated Generative Framework for Search and Recommendation","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2510.04239","title":"Empowering Denoising Sequential Recommendation with Large Language Model Embeddings","created":"2025-10-05","cited_by_count":0,"area":null},{"id":"2510.25259","title":"TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2512.17442","title":"A Systematic Reproducibility Study of BSARec for Sequential Recommendation","created":"2025-12-19","cited_by_count":0,"area":null},{"id":"2602.07207","title":"Multimodal Enhancement of Sequential Recommendation","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2602.07208","title":"Sequences as Nodes for Contrastive Multimodal Graph Recommendation","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2603.03782","title":"DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation","created":"2026-03-04","cited_by_count":0,"area":null},{"id":"2604.03688","title":"Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation","created":"2026-04-04","cited_by_count":0,"area":null},{"id":"2604.09439","title":"TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2607.10240","title":"What Does Your Short-Answer VQA Score Actually Measure? Evaluator-Dependent Instability in Multimodal Short-Answer Benchmarks","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2607.11168","title":"SISA-Rec: A Semantically Integrated Sequential Recommender with Contrastive Alignment","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2608.24079","title":"Keeping the Index Open: The Recommendation-Side Cost of Shared Search and Recommendation","created":"2026-08-25","cited_by_count":0,"area":null}],"next_cursor":null}