Guardado en:
| Autores principales: | Ravi, Mudavath, Negi, Atul |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2501.09359 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Building Contextual Knowledge Graphs for Personalized Learning Recommendations using Text Mining and Semantic Graph Completion
por: Abu-Rasheed, Hasan, et al.
Publicado: (2024)
por: Abu-Rasheed, Hasan, et al.
Publicado: (2024)
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
por: Zhang, Jiang, et al.
Publicado: (2025)
por: Zhang, Jiang, et al.
Publicado: (2025)
PIT: A Dynamic Personalized Item Tokenizer for End-to-End Generative Recommendation
por: Wang, Huanjie, et al.
Publicado: (2026)
por: Wang, Huanjie, et al.
Publicado: (2026)
[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation
por: Garcarz, Sławomir, et al.
Publicado: (2024)
por: Garcarz, Sławomir, et al.
Publicado: (2024)
Item Association Factorization Mixed Markov Chains for Sequential Recommendation
por: Du, DongYu, et al.
Publicado: (2024)
por: Du, DongYu, et al.
Publicado: (2024)
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
por: Yan, Mingshi, et al.
Publicado: (2024)
por: Yan, Mingshi, et al.
Publicado: (2024)
Linear Item-Item Model with Neural Knowledge for Session-based Recommendation
por: Choi, Minjin, et al.
Publicado: (2025)
por: Choi, Minjin, et al.
Publicado: (2025)
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings
por: Petrov, Aleksandr V., et al.
Publicado: (2025)
por: Petrov, Aleksandr V., et al.
Publicado: (2025)
Dataset and Models for Item Recommendation Using Multi-Modal User Interactions
por: Bruun, Simone Borg, et al.
Publicado: (2024)
por: Bruun, Simone Borg, et al.
Publicado: (2024)
Learnable Item Tokenization for Generative Recommendation
por: Wang, Wenjie, et al.
Publicado: (2024)
por: Wang, Wenjie, et al.
Publicado: (2024)
Multi-agents based User Values Mining for Recommendation
por: Chen, Lijian, et al.
Publicado: (2025)
por: Chen, Lijian, et al.
Publicado: (2025)
Behavior Pattern Mining-based Multi-Behavior Recommendation
por: Li, Haojie, et al.
Publicado: (2024)
por: Li, Haojie, et al.
Publicado: (2024)
Learning Multi-Aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation
por: Liu, Qijiong, et al.
Publicado: (2024)
por: Liu, Qijiong, et al.
Publicado: (2024)
Temporal Linear Item-Item Model for Sequential Recommendation
por: Park, Seongmin, et al.
Publicado: (2024)
por: Park, Seongmin, et al.
Publicado: (2024)
Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation
por: Kalisvaart, Raoul, et al.
Publicado: (2025)
por: Kalisvaart, Raoul, et al.
Publicado: (2025)
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
por: Zheng, Bowen, et al.
Publicado: (2025)
por: Zheng, Bowen, et al.
Publicado: (2025)
A Contrastive Framework with User, Item and Review Alignment for Recommendation
por: Dong, Hoang V., et al.
Publicado: (2025)
por: Dong, Hoang V., et al.
Publicado: (2025)
On Inherited Popularity Bias in Cold-Start Item Recommendation
por: Meehan, Gregor, et al.
Publicado: (2025)
por: Meehan, Gregor, et al.
Publicado: (2025)
Generative Recommender with End-to-End Learnable Item Tokenization
por: Liu, Enze, et al.
Publicado: (2024)
por: Liu, Enze, et al.
Publicado: (2024)
Markovian Pre-Trained Transformer for Next-Item Recommendation
por: Xu, Cong, et al.
Publicado: (2026)
por: Xu, Cong, et al.
Publicado: (2026)
Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation
por: Liu, Weiming, et al.
Publicado: (2025)
por: Liu, Weiming, et al.
Publicado: (2025)
Personalized Multi-task Training for Recommender System
por: Yang, Liangwei, et al.
Publicado: (2024)
por: Yang, Liangwei, et al.
Publicado: (2024)
Why Not Together? A Multiple-Round Recommender System for Queries and Items
por: Jin, Jiarui, et al.
Publicado: (2024)
por: Jin, Jiarui, et al.
Publicado: (2024)
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
por: Xia, Yu, et al.
Publicado: (2025)
por: Xia, Yu, et al.
Publicado: (2025)
Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning
por: Nguyen, Huy-Son, et al.
Publicado: (2024)
por: Nguyen, Huy-Son, et al.
Publicado: (2024)
Item-Language Model for Conversational Recommendation
por: Yang, Li, et al.
Publicado: (2024)
por: Yang, Li, et al.
Publicado: (2024)
Towards Personalized Federated Multi-Scenario Multi-Task Recommendation
por: Ding, Yue, et al.
Publicado: (2024)
por: Ding, Yue, et al.
Publicado: (2024)
Ultra Fast Warm Start Solution for Graph Recommendations
por: Yusupov, Viacheslav, et al.
Publicado: (2025)
por: Yusupov, Viacheslav, et al.
Publicado: (2025)
IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
por: Guo, Ziyuan, et al.
Publicado: (2025)
por: Guo, Ziyuan, et al.
Publicado: (2025)
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation
por: Liang, Jiahao, et al.
Publicado: (2025)
por: Liang, Jiahao, et al.
Publicado: (2025)
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
por: Peintner, Andreas, et al.
Publicado: (2025)
por: Peintner, Andreas, et al.
Publicado: (2025)
Beyong Tokens: Item-aware Attention for LLM-based Recommendation
por: Zhang, Xiaokun, et al.
Publicado: (2026)
por: Zhang, Xiaokun, et al.
Publicado: (2026)
Sparse Contrastive Learning for Content-Based Cold Item Recommendation
por: Meehan, Gregor, et al.
Publicado: (2026)
por: Meehan, Gregor, et al.
Publicado: (2026)
AgenticTagger: Structured Item Representation for Recommendation with LLM Agents
por: Xie, Zhouhang, et al.
Publicado: (2026)
por: Xie, Zhouhang, et al.
Publicado: (2026)
Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling
por: Subbiah, Anushya, et al.
Publicado: (2024)
por: Subbiah, Anushya, et al.
Publicado: (2024)
DUET: Joint Exploration of User Item Profiles in Recommendation System
por: Chen, Yue, et al.
Publicado: (2026)
por: Chen, Yue, et al.
Publicado: (2026)
Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems
por: Li, Zihan, et al.
Publicado: (2026)
por: Li, Zihan, et al.
Publicado: (2026)
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
por: Kim, Sunwoo, et al.
Publicado: (2025)
por: Kim, Sunwoo, et al.
Publicado: (2025)
Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations
por: Spadea, Fernando, et al.
Publicado: (2025)
por: Spadea, Fernando, et al.
Publicado: (2025)
Multi-Item-Query Attention for Stable Sequential Recommendation
por: Xu, Mingshi, et al.
Publicado: (2025)
por: Xu, Mingshi, et al.
Publicado: (2025)
Ejemplares similares
-
Building Contextual Knowledge Graphs for Personalized Learning Recommendations using Text Mining and Semantic Graph Completion
por: Abu-Rasheed, Hasan, et al.
Publicado: (2024) -
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
por: Zhang, Jiang, et al.
Publicado: (2025) -
PIT: A Dynamic Personalized Item Tokenizer for End-to-End Generative Recommendation
por: Wang, Huanjie, et al.
Publicado: (2026) -
[RE] Modeling Personalized Item Frequency Information for Next-basket Recommendation
por: Garcarz, Sławomir, et al.
Publicado: (2024) -
Item Association Factorization Mixed Markov Chains for Sequential Recommendation
por: Du, DongYu, et al.
Publicado: (2024)