Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy
Fuente:
arXiv
Saved in:
| Main Authors: | Shen, Tingjia, Wang, Hao, Wu, Chuhan, Chin, Jin Yao, Guo, Wei, Liu, Yong, Guo, Huifeng, Lian, Defu, Tang, Ruiming, Chen, Enhong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation
by: Shen, Tingjia, et al.
Published: (2025)
by: Shen, Tingjia, et al.
Published: (2025)
Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling
by: Lepage, Simon, et al.
Published: (2025)
by: Lepage, Simon, et al.
Published: (2025)
DUALRec: A Hybrid Sequential and Language Model Framework for Context-Aware Movie Recommendation
by: Li, Yitong, et al.
Published: (2025)
by: Li, Yitong, et al.
Published: (2025)
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation
by: Shen, Tingjia, et al.
Published: (2024)
by: Shen, Tingjia, et al.
Published: (2024)
MEDLEY-BENCH: Scale Buys Evaluation but Not Control in AI Metacognition
by: Abtahi, Farhad, et al.
Published: (2026)
by: Abtahi, Farhad, et al.
Published: (2026)
EnterpriseRAG-Bench: A RAG Benchmark for Company Internal Knowledge
by: Sun, Yuhong, et al.
Published: (2026)
by: Sun, Yuhong, et al.
Published: (2026)
Knowledge Distillation for Low-Resource Open-source Text-to-SQL Model
by: Qiu, Tianhao, et al.
Published: (2026)
by: Qiu, Tianhao, et al.
Published: (2026)
Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment
by: Li, Dai, et al.
Published: (2025)
by: Li, Dai, et al.
Published: (2025)
A Knowledge Graph based Approach for Mobile Application Recommendation
by: Zhang, Mingwei, et al.
Published: (2020)
by: Zhang, Mingwei, et al.
Published: (2020)
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
LinkedOut: Linking World Knowledge Representation Out of Video LLM for Next-Generation Video Recommendation
by: Zhang, Haichao, et al.
Published: (2025)
by: Zhang, Haichao, et al.
Published: (2025)
Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA
by: Bacellar, Andre
Published: (2026)
by: Bacellar, Andre
Published: (2026)
Democratizing GraphRAG: Linear, CPU-Only Graph Retrieval for Multi-Hop QA
by: Wang, Qizhi
Published: (2025)
by: Wang, Qizhi
Published: (2025)
SPD-RAG: Sub-Agent Per Document Retrieval-Augmented Generation
by: Akay, Yagiz Can, et al.
Published: (2026)
by: Akay, Yagiz Can, et al.
Published: (2026)
Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing
by: Olasunkanmi, Olawumi, et al.
Published: (2024)
by: Olasunkanmi, Olawumi, et al.
Published: (2024)
A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature
by: Alpay, Faruk, et al.
Published: (2025)
by: Alpay, Faruk, et al.
Published: (2025)
FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model
by: Ye, Yufei, et al.
Published: (2025)
by: Ye, Yufei, et al.
Published: (2025)
tensorFM: Low-Rank Approximations of Cross-Order Feature Interactions
by: Mazzetto, Alessio, et al.
Published: (2026)
by: Mazzetto, Alessio, et al.
Published: (2026)
The 99% Success Paradox: When Near-Perfect Retrieval Equals Random Selection
by: Repantis, Vyzantinos, et al.
Published: (2026)
by: Repantis, Vyzantinos, et al.
Published: (2026)
TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
by: Ferdous, Muhammad Hasan, et al.
Published: (2025)
by: Ferdous, Muhammad Hasan, et al.
Published: (2025)
Scaling New Frontiers: Insights into Large Recommendation Models
by: Guo, Wei, et al.
Published: (2024)
by: Guo, Wei, et al.
Published: (2024)
A V2X-based Privacy Preserving Federated Measuring and Learning System
by: Alekszejenkó, Levente, et al.
Published: (2024)
by: Alekszejenkó, Levente, et al.
Published: (2024)
LLM-based IR-system for Bank Supervisors
by: Aarab, Ilias
Published: (2025)
by: Aarab, Ilias
Published: (2025)
Extracting Sentence Embeddings from Pretrained Transformer Models
by: Stankevičius, Lukas, et al.
Published: (2024)
by: Stankevičius, Lukas, et al.
Published: (2024)
Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models
by: Vileikytė, Brigita, et al.
Published: (2024)
by: Vileikytė, Brigita, et al.
Published: (2024)
Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders
by: Ribadas-Pena, Francisco J., et al.
Published: (2024)
by: Ribadas-Pena, Francisco J., et al.
Published: (2024)
Rational Functions on the Projective Line from a Computational Viewpoint
by: Badr, Eslam, et al.
Published: (2025)
by: Badr, Eslam, et al.
Published: (2025)
A Hybrid Multimodal Deep Learning Framework for Intelligent Fashion Recommendation
by: Kalashi, Kamand, et al.
Published: (2025)
by: Kalashi, Kamand, et al.
Published: (2025)
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation
by: Lin, Kun, et al.
Published: (2024)
by: Lin, Kun, et al.
Published: (2024)
Combating data scarcity in recommendation services: Integrating cognitive types of VARK and neural network technologies (LLM)
by: Zmanovskii, Nikita
Published: (2026)
by: Zmanovskii, Nikita
Published: (2026)
Conversion rate prediction in online advertising: modeling techniques, performance evaluation and future directions
by: Xue, Tao, et al.
Published: (2025)
by: Xue, Tao, et al.
Published: (2025)
Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives
by: Gao, Shan, et al.
Published: (2025)
by: Gao, Shan, et al.
Published: (2025)
Indexing Portuguese NLP Resources with PT-Pump-Up
by: Almeida, Rúben, et al.
Published: (2024)
by: Almeida, Rúben, et al.
Published: (2024)
FuXi-$α$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
by: Ye, Yufei, et al.
Published: (2025)
by: Ye, Yufei, et al.
Published: (2025)
A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets
by: Saragadam, Harish, et al.
Published: (2025)
by: Saragadam, Harish, et al.
Published: (2025)
Hybrid Quantum-Classical Mixture of Experts: Unlocking Topological Advantage via Interference-Based Routing
by: Heddad, Reda, et al.
Published: (2025)
by: Heddad, Reda, et al.
Published: (2025)
Dataset Regeneration for Sequential Recommendation
by: Yin, Mingjia, et al.
Published: (2024)
by: Yin, Mingjia, et al.
Published: (2024)
UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis
by: Xu, Zhihao, et al.
Published: (2025)
by: Xu, Zhihao, et al.
Published: (2025)
Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders
by: Havrylenko, Yevhen, et al.
Published: (2025)
by: Havrylenko, Yevhen, et al.
Published: (2025)
Similar Items
-
Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation
by: Shen, Tingjia, et al.
Published: (2025) -
Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling
by: Lepage, Simon, et al.
Published: (2025) -
DUALRec: A Hybrid Sequential and Language Model Framework for Context-Aware Movie Recommendation
by: Li, Yitong, et al.
Published: (2025) -
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation
by: Shen, Tingjia, et al.
Published: (2024) -
MEDLEY-BENCH: Scale Buys Evaluation but Not Control in AI Metacognition
by: Abtahi, Farhad, et al.
Published: (2026)