Cover Image

Why Not Together? A Multiple-Round Recommender System for Queries and Items

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Jiarui, Chen, Xianyu, Zhang, Weinan, Yu, Yong, Wang, Jun
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
by: Qin, Jiarui, et al.
Published: (2024)

A Comprehensive Survey on Retrieval Methods in Recommender Systems
by: Huang, Junjie, et al.
Published: (2024)

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

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024)

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
by: Jin, Jiarui, et al.
Published: (2024)

Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
by: Zheng, Lei, et al.
Published: (2024)

Markovian Pre-Trained Transformer for Next-Item Recommendation
by: Xu, Cong, et al.
Published: (2026)

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)

From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark
by: Song, Yanglong, et al.
Published: (2026)

Memory Assisted LLM for Personalized Recommendation System
by: Chen, Jiarui
Published: (2025)

AlignRec: Aligning and Training in Multimodal Recommendations
by: Liu, Yifan, et al.
Published: (2024)

DUET: Joint Exploration of User Item Profiles in Recommendation System
by: Chen, Yue, et al.
Published: (2026)

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
by: Zhang, Jiang, et al.
Published: (2025)

Item Level Exploration Traffic Allocation in Large-scale Recommendation Systems
by: Wang, Dong, et al.
Published: (2025)

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
by: Xi, Yunjia, et al.
Published: (2024)

A Survey on Diffusion Models for Recommender Systems
by: Lin, Jianghao, et al.
Published: (2024)

Look into the Future: Deep Contextualized Sequential Recommendation
by: Zheng, Lei, et al.
Published: (2024)

Item-side Fairness of Large Language Model-based Recommendation System
by: Jiang, Meng, et al.
Published: (2024)

Large Language Models Make Sample-Efficient Recommender Systems
by: Lin, Jianghao, et al.
Published: (2024)

Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation
by: Kalisvaart, Raoul, et al.
Published: (2025)

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion
by: Chen, Lijian, et al.
Published: (2023)

Learnable Item Tokenization for Generative Recommendation
by: Wang, Wenjie, et al.
Published: (2024)

LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
by: Xin, Haidong, et al.
Published: (2025)

Beyong Tokens: Item-aware Attention for LLM-based Recommendation
by: Zhang, Xiaokun, et al.
Published: (2026)

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

IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
by: Guo, Ziyuan, et al.
Published: (2025)

Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
by: Wang, Yuyan, et al.
Published: (2024)

PIT: A Dynamic Personalized Item Tokenizer for End-to-End Generative Recommendation
by: Wang, Huanjie, et al.
Published: (2026)

Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems
by: Li, Zihan, et al.
Published: (2026)

Democratic Recommendation with User and Item Representatives Produced by Graph Condensation
by: Liang, Jiahao, et al.
Published: (2025)

Linear Item-Item Model with Neural Knowledge for Session-based Recommendation
by: Choi, Minjin, et al.
Published: (2025)

Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings
by: Petrov, Aleksandr V., et al.
Published: (2025)

Item Association Factorization Mixed Markov Chains for Sequential Recommendation
by: Du, DongYu, et al.
Published: (2024)

Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study
by: Rampisela, Theresia Veronika, et al.
Published: (2023)

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
by: Wang, Hangyu, et al.
Published: (2024)

Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
by: Zhang, Jiaming, et al.
Published: (2026)