Copertina

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yang, Weiqin, Chen, Jiawei, Xin, Xin, Zhou, Sheng, Hu, Binbin, Feng, Yan, Chen, Chun, Wang, Can
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
di: Lin, Siyi, et al.
Pubblicazione: (2024)

Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems
di: Yang, Weiqin, et al.
Pubblicazione: (2025)

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
di: Zhang, Shengjia, et al.
Pubblicazione: (2025)

On Softmax Direct Preference Optimization for Recommendation
di: Chen, Yuxin, et al.
Pubblicazione: (2024)

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
di: Wang, Bohao, et al.
Pubblicazione: (2024)

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
di: Yang, Weiqin, et al.
Pubblicazione: (2026)

Talos: Optimizing Top-$K$ Accuracy in Recommender Systems
di: Zhang, Shengjia, et al.
Pubblicazione: (2026)

Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
di: Chen, Sirui, et al.
Pubblicazione: (2025)

Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
di: Han, Yongqiang, et al.
Pubblicazione: (2025)

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems
di: Tang, Heng, et al.
Pubblicazione: (2025)

Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers
di: Li, Bingqian, et al.
Pubblicazione: (2026)

Better Late Than Never: Formulating and Benchmarking Recommendation Editing
di: Lai, Chengyu, et al.
Pubblicazione: (2024)

Personalized Fashion Recommendation with Image Attributes and Aesthetics Assessment
di: Chen, Chongxian, et al.
Pubblicazione: (2025)

HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
di: Xue, Jiawei, et al.
Pubblicazione: (2025)

Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems
di: Yang, Dayu, et al.
Pubblicazione: (2024)

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
di: Yang, Chen, et al.
Pubblicazione: (2024)

Tree of Preferences for Diversified Recommendation
di: Yuan, Hanyang, et al.
Pubblicazione: (2025)

Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation
di: Dai, Ji, et al.
Pubblicazione: (2026)

Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
di: Zheng, Bowen, et al.
Pubblicazione: (2024)

Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation
di: Lin, Haitao, et al.
Pubblicazione: (2025)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
di: Hu, Wenbo, et al.
Pubblicazione: (2023)

Universal Item Tokenization for Transferable Generative Recommendation
di: Zheng, Bowen, et al.
Pubblicazione: (2025)

On Generative Agents in Recommendation
di: Zhang, An, et al.
Pubblicazione: (2023)

Slow Thinking for Sequential Recommendation
di: Zhang, Junjie, et al.
Pubblicazione: (2025)

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
di: Liang, Yu, et al.
Pubblicazione: (2026)

Asymmetric Generative Recommendation via Multi-Expert Projection and Multi-Faceted Hierarchical Quantization
di: Huang, Bin, et al.
Pubblicazione: (2026)

Distributionally Robust Graph-based Recommendation System
di: Wang, Bohao, et al.
Pubblicazione: (2024)

Pre-train and Fine-tune: Recommenders as Large Models
di: Jiang, Zhenhao, et al.
Pubblicazione: (2025)

A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions
di: Li, Yuyuan, et al.
Pubblicazione: (2024)

Asymmetric Diffusion Recommendation Model
di: Zhu, Yongchun, et al.
Pubblicazione: (2025)

On-Device Large Language Models for Sequential Recommendation
di: Xia, Xin, et al.
Pubblicazione: (2026)

Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning
di: Xu, Kangming, et al.
Pubblicazione: (2024)

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
di: Huang, Wei-Hsiang, et al.
Pubblicazione: (2025)

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models
di: Yang, Zhen, et al.
Pubblicazione: (2025)

Improving LLM-powered Recommendations with Personalized Information
di: Liu, Jiahao, et al.
Pubblicazione: (2025)

EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation
di: Zhang, Xiaoxiong, et al.
Pubblicazione: (2025)

Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs
di: Zhu, Xiaofei, et al.
Pubblicazione: (2026)

RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
di: Wang, Hui, et al.
Pubblicazione: (2026)

Towards Empathetic Conversational Recommender Systems
di: Zhang, Xiaoyu, et al.
Pubblicazione: (2024)

Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation
di: Hu, Zhifei, et al.
Pubblicazione: (2026)