Cover Image

Improving One-class Recommendation with Multi-tasking on Various Preference Intensities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shao, Chu-Jen, Fu, Hao-Ming, Cheng, Pu-Jen
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
by: Fu, Hao-Ming, et al.
Published: (2024)

PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
by: Du, Haotong, et al.
Published: (2025)

Modeling Behavioral Intensity and Transitions for Generative Recommendation
by: Yang, Wenxuan, et al.
Published: (2026)

A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
by: Yuan, Jun, et al.
Published: (2024)

Modeling Churn in Recommender Systems with Aggregated Preferences
by: Keinan, Gur, et al.
Published: (2025)

Enhancing Learning Path Recommendation via Multi-task Learning
by: Nasrin, Afsana, et al.
Published: (2025)

BPL: Bias-adaptive Preference Distillation Learning for Recommender System
by: Kang, SeongKu, et al.
Published: (2025)

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
by: Huang, Tianhao, et al.
Published: (2024)

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
by: Han, Xiao, et al.
Published: (2024)

GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks
by: Stepanov, Ihor, et al.
Published: (2024)

Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference
by: Forouzandehmehr, Najmeh, et al.
Published: (2024)

Solving the Cold Start Problem on One's Own as an End User via Preference Transfer
by: Sato, Ryoma
Published: (2025)

Preference Discerning with LLM-Enhanced Generative Retrieval
by: Paischer, Fabian, et al.
Published: (2024)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
by: Yang, Weiqin, et al.
Published: (2024)

Learning to Fast Unrank in Collaborative Filtering Recommendation
by: Zhao, Junpeng, et al.
Published: (2025)

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
by: Li, Shijun, et al.
Published: (2024)

Multi-Item-Query Attention for Stable Sequential Recommendation
by: Xu, Mingshi, et al.
Published: (2025)

Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
by: Hsu, Hung-Chun, et al.
Published: (2025)

CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation
by: Yan, Cairong, et al.
Published: (2025)

Enhancing Personalized Recipe Recommendation Through Multi-Class Classification
by: Neelam, Harish, et al.
Published: (2024)

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
by: Shao, Junli, et al.
Published: (2025)

LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation
by: Xiong, Lee, et al.
Published: (2026)

Isotonic Layer: A Unified Framework for Recommendation Calibration and Debiasing
by: Cheng, Hailing, et al.
Published: (2026)

Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
by: Wilm, Timo, et al.
Published: (2024)

Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
by: Pang, Linsey, et al.
Published: (2024)

DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
by: Liu, Sicen, et al.
Published: (2023)

Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
by: Li, Chen, et al.
Published: (2023)

Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2024)

Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
by: Xia, Linhan, et al.
Published: (2024)

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
by: Xie, Wenjia, et al.
Published: (2024)

Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations
by: Spadea, Fernando, et al.
Published: (2025)

Graph Foundation Models for Recommendation: A Comprehensive Survey
by: Wu, Bin, et al.
Published: (2025)

CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
by: Sun, Yi, et al.
Published: (2024)

MDL: A Unified Multi-Distribution Learner in Large-scale Industrial Recommendation through Tokenization
by: Mu, Shanlei, et al.
Published: (2026)

From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System
by: Le, Ngoc Luyen, et al.
Published: (2025)

Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
by: Le, Ngoc Luyen, et al.
Published: (2025)

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
by: Liu, Tianqi, et al.
Published: (2025)

RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems
by: Zhou, Jiahong, et al.
Published: (2023)

Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks
by: Wijaya, Tri Kurniawan, et al.
Published: (2025)