:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Luo, Kai, Shen, Tianshu, Yao, Lan, Wu, Ga, Liblong, Aaron, Fehervari, Istvan, An, Ruijian, Ahmed, Jawad, Mishra, Harshit, Pujari, Charu
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning
Online Access:	https://arxiv.org/abs/2401.16433
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Case Study of Balanced Query Recommendation on Wikipedia
by: Mishra, Harshit, et al.
Published: (2025)

[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation
by: Garcarz, Sławomir, et al.
Published: (2024)

UniRecSys: A Unified Framework for Personalized, Group, Package, and Package-to-Group Recommendations
by: Shyam, Adamya, et al.
Published: (2023)

Fairness and Diversity in Recommender Systems: A Survey
by: Zhao, Yuying, et al.
Published: (2023)

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
by: Ye, Yuyang, et al.
Published: (2024)

Movie Recommendation using Web Crawling
by: Raj, Pronit, et al.
Published: (2024)

Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
by: Zhao, Yuying, et al.
Published: (2024)

Causal Learning for Trustworthy Recommender Systems: A Survey
by: Li, Jin, et al.
Published: (2024)

Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks
by: Innerebner, Kevin, et al.
Published: (2026)

Pattern-wise Transparent Sequential Recommendation
by: Ma, Kun, et al.
Published: (2024)

Generative News Recommendation
by: Gao, Shen, et al.
Published: (2024)

Context-Adaptive Graph Neural Networks for Next POI Recommendation
by: Lei, Yu, et al.
Published: (2025)

Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling
by: Lan, Yu-Ting, et al.
Published: (2025)

Enhancing Sequential Recommendation with World Knowledge from Large Language Models
by: Dai, Tianjie, et al.
Published: (2025)

Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG
by: Nainwani, Harshit, et al.
Published: (2025)

Building Retrieval Systems for the ClueWeb22-B Corpus
by: Mehrotra, Harshit, et al.
Published: (2024)

Behavior Pattern Mining-based Multi-Behavior Recommendation
by: Li, Haojie, et al.
Published: (2024)

LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization
by: Luo, Hailong, et al.
Published: (2025)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
by: Li, Zihao, et al.
Published: (2024)

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
by: Chen, Hao, et al.
Published: (2024)

Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
by: Huang, Ting-Ji, et al.
Published: (2024)

Denoising Neural Reranker for Recommender Systems
by: Mao, Wenyu, et al.
Published: (2025)

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)

Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)

Within-Document Event Coreference with BERT-Based Contextualized Representations
by: Ahmed, Shafiuddin Rehan, et al.
Published: (2021)

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)

Scaling New Frontiers: Insights into Large Recommendation Models
by: Guo, Wei, et al.
Published: (2024)

When Box Meets Graph Neural Network in Tag-aware Recommendation
by: Lin, Fake, et al.
Published: (2024)

Spectral-Based Graph Neural Networks for Complementary Item Recommendation
by: Luo, Haitong, et al.
Published: (2024)

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

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
by: Betello, Filippo, et al.
Published: (2023)

Multi-behavior Recommendation with SVD Graph Neural Networks
by: Fu, Shengxi, et al.
Published: (2023)

Revisiting Language Models in Neural News Recommender Systems
by: Zhao, Yuyue, et al.
Published: (2025)

Enhancing and Scaling Search Query Datasets for Recommendation Systems
by: Rodrigues, Aaron, et al.
Published: (2025)

Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
by: Shen, Junhao, et al.
Published: (2024)

HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation
by: Zhou, Jingyi, et al.
Published: (2025)

Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
by: Zhang, Zhiyang, et al.
Published: (2026)

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
by: Jiang, Juyong, et al.
Published: (2021)

A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
by: Wang, Zhikai, et al.
Published: (2025)

Unified Generative Search and Recommendation
by: Shi, Teng, et al.
Published: (2025)