Cover Image

Contextual Scalarisation Thompson Sampling for multi-objective decisions in public media

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maëtz, Théo, Guillet, Luc, Cavallaro, Andrea
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Counterfactual Inference under Thompson Sampling
by: Jeunen, Olivier
Published: (2025)

Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
by: Bendada, Walid, et al.
Published: (2025)

Calibrated Recommendations with Contextual Bandits
by: Feijer, Diego, et al.
Published: (2025)

Optimal Baseline Corrections for Off-Policy Contextual Bandits
by: Gupta, Shashank, et al.
Published: (2024)

ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
by: Hou, Yupeng, et al.
Published: (2025)

Low-Rank Online Dynamic Assortment with Dual Contextual Information
by: Lee, Seong Jin, et al.
Published: (2024)

SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching
by: Kang, Inwon, et al.
Published: (2026)

Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning
by: Vangara, Akhila, et al.
Published: (2024)

AdaptEx: A Self-Service Contextual Bandit Platform
by: Black, William, et al.
Published: (2023)

Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
by: Zhao, Zhenyu, et al.
Published: (2024)

On the Reliability of Sampling Strategies in Offline Recommender Evaluation
by: Pereira, Bruno L., et al.
Published: (2025)

Diffusion-Pretrained Dense and Contextual Embeddings
by: Eslami, Sedigheh, et al.
Published: (2026)

Contextual Multilingual Spellchecker for User Queries
by: Sharma, Sanat, et al.
Published: (2023)

Solving cold start in news recommendations: a RippleNet-based system for large scale media outlet
by: Radziszewski, Karol, et al.
Published: (2025)

Let's Get It Started: Fostering the Discoverability of New Releases on Deezer
by: Briand, Léa, et al.
Published: (2024)

Personalized Recommendations via Active Utility-based Pairwise Sampling
by: Boroomand, Bahar, et al.
Published: (2025)

Judgement Citation Retrieval using Contextual Similarity
by: Dasula, Akshat Mohan, et al.
Published: (2024)

Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation Models
by: Prakash, Arushi, et al.
Published: (2024)

Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
by: Xu, Luyue, et al.
Published: (2024)

Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs
by: Parameswaran, Sethupathy, et al.
Published: (2026)

Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2026)

TeleDoCTR: Domain-Specific and Contextual Troubleshooting for Telecommunications
by: Trabelsi, Mohamed, et al.
Published: (2026)

TFPS: A Temporal Filtration-enhanced Positive Sample Set Construction Method for Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)

Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
by: Zerkouk, Meriem, et al.
Published: (2025)

Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
by: Bhattacharya, Moumita, et al.
Published: (2024)

Contextual Font Recommendations based on User Intent
by: Sharma, Sanat, et al.
Published: (2023)

A multi-theoretical kernel-based approach to social network-based recommendation
by: Li, Xin, et al.
Published: (2024)

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
by: Lee, Chaejeong, et al.
Published: (2024)

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
by: Zhang, Zheyuan, et al.
Published: (2024)

SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking
by: Remaki, Adam, et al.
Published: (2026)

ALNSynergy: a graph convolutional network with multi-representation alignment for drug synergy prediction
by: Yang, Xinxing, et al.
Published: (2023)

Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
by: Xing, Jinming, et al.
Published: (2024)

Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
by: Takamoto, Makoto, et al.
Published: (2025)

Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommenders
by: Paneri, Kaushal, et al.
Published: (2024)

Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025)

Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
by: Wilm, Timo, et al.
Published: (2023)

Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent
by: Liu, Junfeng, et al.
Published: (2023)

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
by: Baek, Jinheon, et al.
Published: (2023)

Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM
by: Kowsher, Md., et al.
Published: (2024)

On-the-Fly OVD Adaptation with FLAME: Few-shot Localization via Active Marginal-Samples Exploration
by: Refael, Yehonathan, et al.
Published: (2025)