:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jin, Jiarui, He, Zexue, Yang, Mengyue, Zhang, Weinan, Yu, Yong, Wang, Jun, McAuley, Julian
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2401.12553
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
by: Oh, Sejoon, et al.
Published: (2024)

Reddit2Deezer: A Scalable Dataset for Real-World Grounded Conversational Music Recommendation
by: Kim, Haven, et al.
Published: (2026)

Multi-Behavior Generative Recommendation
by: Liu, Zihan, et al.
Published: (2024)

Inductive Generative Recommendation via Retrieval-based Speculation
by: Ding, Yijie, et al.
Published: (2024)

GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
by: Rabiah, Ahmad Bin, et al.
Published: (2025)

Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
by: Jeon, Hyunsik, et al.
Published: (2024)

Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank
by: Liang, Zeyan, et al.
Published: (2025)

Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
by: Zhao, Haiyuan, et al.
Published: (2022)

Addressing Personalized Bias for Unbiased Learning to Rank
by: Niu, Zechun, et al.
Published: (2025)

Transferable Sequential Recommendation via Vector Quantized Meta Learning
by: Yue, Zhenrui, et al.
Published: (2024)

Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
by: Wang, Yueqi, et al.
Published: (2024)

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
by: Wang, Yueqi, et al.
Published: (2024)

Whole Page Unbiased Learning to Rank
by: Mao, Haitao, et al.
Published: (2022)

FusID: Modality-Fused Semantic IDs for Generative Music Recommendation
by: Kim, Haven, et al.
Published: (2026)

Dual Conditional Diffusion Models for Sequential Recommendation
by: Huang, Hongtao, et al.
Published: (2024)

Why Not Together? A Multiple-Round Recommender System for Queries and Items
by: Jin, Jiarui, et al.
Published: (2024)

Retrieval Augmented Conversational Recommendation with Reinforcement Learning
by: Yue, Zhenrui, et al.
Published: (2026)

Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
by: Zhang, Ruohan, et al.
Published: (2025)

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
by: Chen, Mouxiang, et al.
Published: (2023)

Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank
by: Yu, Lulu, et al.
Published: (2024)

Bridging Conversational and Collaborative Signals for Conversational Recommendation
by: Rabiah, Ahmad Bin, et al.
Published: (2024)

Foundation Models for Recommender Systems: A Survey and New Perspectives
by: Huang, Chengkai, et al.
Published: (2024)

Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
by: Huang, Hongtao, et al.
Published: (2025)

Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
by: Xia, Yu, et al.
Published: (2025)

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
by: Hou, Yupeng, et al.
Published: (2024)

MLPs are Efficient Distilled Generative Recommenders
by: Guo, Zitian, et al.
Published: (2026)

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
by: Yoon, Se-eun, et al.
Published: (2024)

Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
by: Yu, Lulu, et al.
Published: (2025)

Evaluation on Entity Matching in Recommender Systems
by: Huang, Zihan, et al.
Published: (2026)

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
by: Huang, Junjie, et al.
Published: (2024)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract)
by: Hager, Philipp, et al.
Published: (2025)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
by: Hager, Philipp, et al.
Published: (2025)

Expressiveness Limits of Autoregressive Semantic ID Generation in Generative Recommendation
by: Hou, Yupeng, et al.
Published: (2026)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
by: Wu, Junda, et al.
Published: (2024)

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
by: Huang, Junjie, et al.
Published: (2024)

Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System
by: Surana, Rohan, et al.
Published: (2025)

Pctx: Tokenizing Personalized Context for Generative Recommendation
by: Zhong, Qiyong, et al.
Published: (2025)

Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
by: Deldjoo, Yashar, et al.
Published: (2025)

DREAM: A Dual Representation Learning Model for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)