Cover Image

[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Garcarz, Sławomir, Pal, Avik, Praat, Pim
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

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

PixRec: Leveraging Visual Context for Next-Item Prediction in Sequential Recommendation
by: Chakrabarty, Sayak, et al.
Published: (2026)

Within-basket Recommendation via Neural Pattern Associator
by: Luo, Kai, et al.
Published: (2024)

MERGE: Next-Generation Item Indexing Paradigm for Large-Scale Streaming Recommendation
by: Yan, Jing, et al.
Published: (2026)

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

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

Temporal Linear Item-Item Model for Sequential Recommendation
by: Park, Seongmin, et al.
Published: (2024)

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

SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation
by: Lashinin, Oleg, et al.
Published: (2024)

Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
by: Fischer, Elisabeth, et al.
Published: (2024)

Position-Aware Sequential Attention for Accurate Next Item Recommendations
by: Nabiev, Timur, et al.
Published: (2026)

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

From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation
by: Wei, KaiWen, et al.
Published: (2025)

Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
by: Yan, Mingshi, et al.
Published: (2024)

Item-Language Model for Conversational Recommendation
by: Yang, Li, et al.
Published: (2024)

A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining
by: Ravi, Mudavath, et al.
Published: (2025)

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

Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024)

Dataset and Models for Item Recommendation Using Multi-Modal User Interactions
by: Bruun, Simone Borg, et al.
Published: (2024)

Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation
by: Zhang, Dong, et al.
Published: (2025)

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

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

On the Equivalence Between Auto-Regressive Next Token Prediction and Full-Item-Vocabulary Maximum Likelihood Estimation in Generative Recommendation--A Short Note
by: Huang, Yusheng, et al.
Published: (2026)

Generative Recommender with End-to-End Learnable Item Tokenization
by: Liu, Enze, et al.
Published: (2024)

On Inherited Popularity Bias in Cold-Start Item Recommendation
by: Meehan, Gregor, et al.
Published: (2025)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)

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

Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

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

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

Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling
by: Subbiah, Anushya, et al.
Published: (2024)

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

Sparse Contrastive Learning for Content-Based Cold Item Recommendation
by: Meehan, Gregor, et al.
Published: (2026)

AgenticTagger: Structured Item Representation for Recommendation with LLM Agents
by: Xie, Zhouhang, et al.
Published: (2026)

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

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

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

A Contrastive Framework with User, Item and Review Alignment for Recommendation
by: Dong, Hoang V., et al.
Published: (2025)

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