Post-fusion monolithic hybrid recommender system for suggesting relevant movies to users
Fuente:
arXiv
Saved in:
| Main Author: | Rezapour, Mahdi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Efficient user history modeling with amortized inference for deep learning recommendation models
by: Hertel, Lars, et al.
Published: (2024)
by: Hertel, Lars, et al.
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)
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)
Measuring the stability and plasticity of recommender systems
by: Lavoura, Maria João, et al.
Published: (2025)
by: Lavoura, Maria João, et al.
Published: (2025)
Model-agnostic post-hoc explainability for recommender systems
by: Arévalo, Irina, et al.
Published: (2025)
by: Arévalo, Irina, 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)
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)
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)
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)
Preference-based learning for news headline recommendation
by: Bouras, Alexandre, et al.
Published: (2025)
by: Bouras, Alexandre, et al.
Published: (2025)
Quantum contextual bandits and recommender systems for quantum data
by: Brahmachari, Shrigyan, et al.
Published: (2023)
by: Brahmachari, Shrigyan, et al.
Published: (2023)
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)
Robust portfolio optimization for recommender systems considering uncertainty of estimated statistics
by: Yanagi, Tomoya, et al.
Published: (2024)
by: Yanagi, Tomoya, et al.
Published: (2024)
GotFunding: A grant recommendation system based on scientific articles
by: Zeng, Tong, et al.
Published: (2024)
by: Zeng, Tong, et al.
Published: (2024)
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets
by: Yanagi, Tomoya, et al.
Published: (2024)
by: Yanagi, Tomoya, 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)
Research on feature fusion and multimodal patent text based on graph attention network
by: Song, Zhenzhen, et al.
Published: (2025)
by: Song, Zhenzhen, 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)
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)
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)
Rethinking negative sampling in content-based news recommendation
by: Rebelo, Miguel Ângelo, et al.
Published: (2024)
by: Rebelo, Miguel Ângelo, et al.
Published: (2024)
Content filtering methods for music recommendation: A review
by: Zeng, Terence, et al.
Published: (2025)
by: Zeng, Terence, et al.
Published: (2025)
Fine-grained large-scale content recommendations for MSX sellers
by: Singh, Manpreet, et al.
Published: (2024)
by: Singh, Manpreet, et al.
Published: (2024)
Randomized algorithms for precise measurement of differentially-private, personalized recommendations
by: Laro, Allegra, et al.
Published: (2023)
by: Laro, Allegra, et al.
Published: (2023)
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
by: Fei, Ke, et al.
Published: (2024)
by: Fei, Ke, et al.
Published: (2024)
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation
by: Singh, Manpreet, et al.
Published: (2024)
by: Singh, Manpreet, et al.
Published: (2024)
TRACE: Transformer-based user Representations from Attributed Clickstream Event sequences
by: Black, William, et al.
Published: (2024)
by: Black, William, et al.
Published: (2024)
Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation
by: Hoang, Thi Linh, et al.
Published: (2024)
by: Hoang, Thi Linh, et al.
Published: (2024)
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)
by: Zhang, Weizhi, et al.
Published: (2024)
SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media
by: Hossain, Ismail, et al.
Published: (2024)
by: Hossain, Ismail, 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)
Recommendation systems in e-commerce applications with machine learning methods
by: Poniszewska-Maranda, Aneta, et al.
Published: (2025)
by: Poniszewska-Maranda, Aneta, et al.
Published: (2025)
Building a privacy-preserving Federated Recommender system for mobile devices
by: Singh, Aasheesh
Published: (2026)
by: Singh, Aasheesh
Published: (2026)
Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems
by: Ebrat, Danial, et al.
Published: (2024)
by: Ebrat, Danial, et al.
Published: (2024)
Knowledge graph-based personalized multimodal recommendation fusion framework
by: Fang, Yu
Published: (2025)
by: Fang, Yu
Published: (2025)
First, do no harm: Breaking suicidogenic echo chambers in media recommendation
by: Díaz-Álvarez, Alberto, et al.
Published: (2026)
by: Díaz-Álvarez, Alberto, et al.
Published: (2026)
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)
Query Attribute Modeling: Improving search relevance with Semantic Search and Meta Data Filtering
by: Menon, Karthik, et al.
Published: (2025)
by: Menon, Karthik, et al.
Published: (2025)
DL based analysis of movie reviews
by: Paparimoghadamborazjani, Maryam, et al.
Published: (2022)
by: Paparimoghadamborazjani, Maryam, et al.
Published: (2022)
Similar Items
-
EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile
by: Quan, Vu Hong, et al.
Published: (2024) -
Efficient user history modeling with amortized inference for deep learning recommendation models
by: Hertel, Lars, et al.
Published: (2024) -
Price-guided user attention in large-scale E-commerce group recommendation
by: Shi, Yang, et al.
Published: (2024) -
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) -
Measuring the stability and plasticity of recommender systems
by: Lavoura, Maria João, et al.
Published: (2025)