:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Anxin, Du, Zhijuan, Sun, Tao
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	https://arxiv.org/abs/2404.08687
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Complementary Recommendation in E-commerce: Definition, Approaches, and Future Directions
by: Li, Linyue, et al.
Published: (2024)

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges
by: Wei, Yiyang, et al.
Published: (2026)

Survey on Semantic Interpretation of Tabular Data: Challenges and Directions
by: Cremaschi, Marco, et al.
Published: (2024)

Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges
by: Liang, Jintao, et al.
Published: (2025)

Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
by: Wang, Junting, et al.
Published: (2025)

Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets
by: Brehme, Lorenz, et al.
Published: (2025)

Generative Reasoning Re-ranker
by: Liang, Mingfu, et al.
Published: (2026)

TARSE: Test-Time Adaptation via Retrieval of Skills and Experience for Reasoning Agents
by: Wang, Junda, et al.
Published: (2026)

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
by: Liang, Ke, et al.
Published: (2022)

Does Reasoning Make Search More Fair? Comparing Fairness in Reasoning and Non-Reasoning Rerankers
by: Samuel, Saron, et al.
Published: (2026)

Personalized Recommendation Models in Federated Settings: A Survey
by: Zhang, Chunxu, et al.
Published: (2025)

DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval
by: Sun, Duolin, et al.
Published: (2025)

Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
by: Cui, Yu, et al.
Published: (2025)

A Survey on LLM-powered Agents for Recommender Systems
by: Peng, Qiyao, et al.
Published: (2025)

InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
by: Wen, Zhiyuan, et al.
Published: (2025)

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage
by: Samuel, Saron, et al.
Published: (2026)

A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions
by: Li, Yuyuan, et al.
Published: (2024)

Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
by: Zhu, Jiachen, et al.
Published: (2025)

Explainability of Text Processing and Retrieval Methods: A Survey
by: Saha, Sourav, et al.
Published: (2022)

Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)

LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning
by: Shi, Guangsi, et al.
Published: (2024)

On Softmax Direct Preference Optimization for Recommendation
by: Chen, Yuxin, et al.
Published: (2024)

MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging
by: Wei, Tianjun, et al.
Published: (2026)

Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
by: Zhao, Chu, et al.
Published: (2026)

A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions
by: Wang, Xiaxia, et al.
Published: (2024)

A Survey on Neural Topic Models: Methods, Applications, and Challenges
by: Wu, Xiaobao, et al.
Published: (2024)

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
by: Mi, Yunqi, et al.
Published: (2025)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)

Embedding in Recommender Systems: A Survey
by: Wang, Maolin, et al.
Published: (2023)

Multimodal Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2023)

Explainable Session-based Recommendation via Path Reasoning
by: Cao, Yang, et al.
Published: (2024)

Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
by: Xu, Da, et al.
Published: (2024)

Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026)

Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
by: Yang, Wei, et al.
Published: (2025)

A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions
by: Gupta, Shailja, et al.
Published: (2024)

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

A Survey on Large Language Models for Recommendation
by: Wu, Likang, et al.
Published: (2023)

Multi-Behavior Recommender Systems: A Survey
by: Kim, Kyungho, et al.
Published: (2025)

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
by: Yang, Chen, et al.
Published: (2024)

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
by: Li, Cheng-Te, et al.
Published: (2024)