Recommender Systems
1,097 papers
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Papers
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback
AAAI 2024
Online Matrix Completion: A Collaborative Approach with Hott Items
ICML 2024
On Online Experimentation without Device Identifiers
ICML 2024
On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBots
UAI 2024
On Softmax Direct Preference Optimization for Recommendation
NeurIPS 2024
On the Embedding Collapse when Scaling up Recommendation Models
ICML 2024
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
AAAI 2024
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
ACL 2024
PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents
EMNLP 2024
PepRec: Progressive Enhancement of Prompting for Recommendation
EMNLP 2024
PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning
ACML 2024
Plug-In Diffusion Model for Sequential Recommendation
AAAI 2024
Polos: Multimodal Metric Learning from Human Feedback for Image Captioning
CVPR 2024
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation
AAAI 2024
Pre-training General User Representation with Multi-type APP Behaviors
IJCAI 2024
Private Learning with Public Features
AISTATS 2024
Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines
COLING 2024
RecomMind: Movie Recommendation Dialogue with Seeker’s Internal State
EMNLP 2024
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
ICML 2024
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
ICML 2024
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
UAI 2024
Review-Enhanced Hierarchical Contrastive Learning for Recommendation
AAAI 2024
RRL: Recommendation Reverse Learning
AAAI 2024
Sequential LLM Framework for Fashion Recommendation
EMNLP 2024
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
IJCAI 2024