Efficient user history modeling with amortized inference for deep learning recommendation models
Fuente:
arXiv
Saved in:
| Main Authors: | Hertel, Lars, Daftary, Neil, Borisyuk, Fedor, Gupta, Aman, Mazumder, Rahul |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
by: Behdin, Kayhan, et al.
Published: (2025)
by: Behdin, Kayhan, et al.
Published: (2025)
Interact2Vec -- An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems
by: Pires, Pedro R., et al.
Published: (2025)
by: Pires, Pedro R., et al.
Published: (2025)
EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile
by: Quan, Vu Hong, et al.
Published: (2024)
by: Quan, Vu Hong, et al.
Published: (2024)
Post-fusion monolithic hybrid recommender system for suggesting relevant movies to users
by: Rezapour, Mahdi
Published: (2024)
by: Rezapour, Mahdi
Published: (2024)
Price-guided user attention in large-scale E-commerce group recommendation
by: Shi, Yang, et al.
Published: (2024)
by: Shi, Yang, et al.
Published: (2024)
LiMAML: Personalization of Deep Recommender Models via Meta Learning
by: Wang, Ruofan, et al.
Published: (2024)
by: Wang, Ruofan, et al.
Published: (2024)
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025)
by: Forouzandeh, Saman, et al.
Published: (2025)
Preference-based learning for news headline recommendation
by: Bouras, Alexandre, et al.
Published: (2025)
by: Bouras, Alexandre, et al.
Published: (2025)
A cross-domain recommender system using deep coupled autoencoders
by: Gkillas, Alexandros, et al.
Published: (2021)
by: Gkillas, Alexandros, et al.
Published: (2021)
Scaling Up Efficient Small Language Models Serving and Deployment for Semantic Job Search
by: Behdin, Kayhan, et al.
Published: (2025)
by: Behdin, Kayhan, et al.
Published: (2025)
On conceptualisation and an overview of learning path recommender systems in e-learning
by: Fuster-López, A., et al.
Published: (2024)
by: Fuster-López, A., et al.
Published: (2024)
Measuring the stability and plasticity of recommender systems
by: Lavoura, Maria João, et al.
Published: (2025)
by: Lavoura, Maria João, et al.
Published: (2025)
LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scaling
by: Jiang, Yunjiang, et al.
Published: (2025)
by: Jiang, Yunjiang, et al.
Published: (2025)
LiRank: Industrial Large Scale Ranking Models at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)
by: Borisyuk, Fedor, et al.
Published: (2024)
A semantic-based deep learning approach for mathematical expression retrieval
by: Perepu, Pavan Kumar
Published: (2025)
by: Perepu, Pavan Kumar
Published: (2025)
Model-agnostic post-hoc explainability for recommender systems
by: Arévalo, Irina, et al.
Published: (2025)
by: Arévalo, Irina, et al.
Published: (2025)
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems
by: Xiao, Qiang Charles, et al.
Published: (2024)
by: Xiao, Qiang Charles, et al.
Published: (2024)
Large language model as user daily behavior data generator: balancing population diversity and individual personality
by: Li, Haoxin, et al.
Published: (2025)
by: Li, Haoxin, et al.
Published: (2025)
Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders
by: Zammali, Saloua, et al.
Published: (2024)
by: Zammali, Saloua, et al.
Published: (2024)
Compressed models are NOT miniature versions of large models
by: Rai, Rohit Raj, et al.
Published: (2024)
by: Rai, Rohit Raj, et al.
Published: (2024)
RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain
by: C, Venkatesh, et al.
Published: (2024)
by: C, Venkatesh, et al.
Published: (2024)
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation
by: Karmim, Yannis, et al.
Published: (2024)
by: Karmim, Yannis, et al.
Published: (2024)
Goal inference with Rao-Blackwellized Particle Filters
by: Wang, Yixuan, et al.
Published: (2025)
by: Wang, Yixuan, et al.
Published: (2025)
High Fidelity Textual User Representation over Heterogeneous Sources via Reinforcement Learning
by: Arora, Rajat, et al.
Published: (2026)
by: Arora, Rajat, et al.
Published: (2026)
Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations
by: Kaur, Kirandeep, et al.
Published: (2025)
by: Kaur, Kirandeep, et al.
Published: (2025)
Learning to Retrieve for Job Matching
by: Shen, Jianqiang, et al.
Published: (2024)
by: Shen, Jianqiang, et al.
Published: (2024)
Benchmarking large language models for biomedical natural language processing applications and recommendations
by: Chen, Qingyu, et al.
Published: (2023)
by: Chen, Qingyu, et al.
Published: (2023)
Solving cold start in news recommendations: a RippleNet-based system for large scale media outlet
by: Radziszewski, Karol, et al.
Published: (2025)
by: Radziszewski, Karol, et al.
Published: (2025)
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
by: Kumar, Ramnath, et al.
Published: (2023)
by: Kumar, Ramnath, et al.
Published: (2023)
A multi-theoretical kernel-based approach to social network-based recommendation
by: Li, Xin, et al.
Published: (2024)
by: Li, Xin, et al.
Published: (2024)
ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations
by: Kabongo, Ben, et al.
Published: (2025)
by: Kabongo, Ben, et al.
Published: (2025)
Rethinking negative sampling in content-based news recommendation
by: Rebelo, Miguel Ângelo, et al.
Published: (2024)
by: Rebelo, Miguel Ângelo, et al.
Published: (2024)
Quantum contextual bandits and recommender systems for quantum data
by: Brahmachari, Shrigyan, et al.
Published: (2023)
by: Brahmachari, Shrigyan, et al.
Published: (2023)
Content filtering methods for music recommendation: A review
by: Zeng, Terence, et al.
Published: (2025)
by: Zeng, Terence, et al.
Published: (2025)
Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributes
by: Liu, Siliang, et al.
Published: (2024)
by: Liu, Siliang, et al.
Published: (2024)
The effect of different feature selection methods on models created with XGBoost
by: Neyra, Jorge, et al.
Published: (2024)
by: Neyra, Jorge, et al.
Published: (2024)
SemSR: Semantics aware robust Session-based Recommendations
by: Narwariya, Jyoti, et al.
Published: (2025)
by: Narwariya, Jyoti, et al.
Published: (2025)
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
by: Gupta, Shubham, et al.
Published: (2024)
by: Gupta, Shubham, et al.
Published: (2024)
Additive Control Variates Dominate Self-Normalisation in Off-Policy Evaluation
by: Jeunen, Olivier, et al.
Published: (2026)
by: Jeunen, Olivier, et al.
Published: (2026)
Fine-grained large-scale content recommendations for MSX sellers
by: Singh, Manpreet, et al.
Published: (2024)
by: Singh, Manpreet, et al.
Published: (2024)
Similar Items
-
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
by: Behdin, Kayhan, et al.
Published: (2025) -
Interact2Vec -- An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems
by: Pires, Pedro R., et al.
Published: (2025) -
EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile
by: Quan, Vu Hong, et al.
Published: (2024) -
Post-fusion monolithic hybrid recommender system for suggesting relevant movies to users
by: Rezapour, Mahdi
Published: (2024) -
Price-guided user attention in large-scale E-commerce group recommendation
by: Shi, Yang, et al.
Published: (2024)