A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
Fuente:
arXiv
Saved in:
| Main Authors: | Dasgupta, Shib, Boratko, Michael, McCallum, Andrew |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders
by: Rozonoyer, Benjamin, et al.
Published: (2026)
by: Rozonoyer, Benjamin, et al.
Published: (2026)
On the Theoretical Limitations of Embedding-Based Retrieval
by: Weller, Orion, et al.
Published: (2025)
by: Weller, Orion, et al.
Published: (2025)
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
by: Sun, Zhongtian, et al.
Published: (2025)
by: Sun, Zhongtian, et al.
Published: (2025)
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
by: Öztürk, Sümeyye, et al.
Published: (2024)
by: Öztürk, Sümeyye, et al.
Published: (2024)
Personalized Image Generation for Recommendations Beyond Catalogs
by: Patron, Gabriel, et al.
Published: (2025)
by: Patron, Gabriel, et al.
Published: (2025)
Federated Vision-Language-Recommendation with Personalized Fusion
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Privacy Preserving Inference of Personalized Content for Out of Matrix Users
by: Sun, Michael, et al.
Published: (2025)
by: Sun, Michael, et al.
Published: (2025)
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
by: Li, Zelong, et al.
Published: (2024)
by: Li, Zelong, et al.
Published: (2024)
Weightless Neural Networks for Continuously Trainable Personalized Recommendation Systems
by: Latif, Rafayel, et al.
Published: (2025)
by: Latif, Rafayel, et al.
Published: (2025)
Enhancing Personalized Recipe Recommendation Through Multi-Class Classification
by: Neelam, Harish, et al.
Published: (2024)
by: Neelam, Harish, et al.
Published: (2024)
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations
by: Moradi, Armin, et al.
Published: (2024)
by: Moradi, Armin, et al.
Published: (2024)
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
by: Pang, Linsey, et al.
Published: (2024)
by: Pang, Linsey, 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)
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Learning Smooth Distance Functions via Queries
by: Kumar, Akash, et al.
Published: (2024)
by: Kumar, Akash, et al.
Published: (2024)
$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
by: Wang, Zihao, et al.
Published: (2026)
by: Wang, Zihao, et al.
Published: (2026)
RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents
by: Aouali, Imad, et al.
Published: (2026)
by: Aouali, Imad, et al.
Published: (2026)
Heterogeneous Hypergraph Embedding for Recommendation Systems
by: Sakong, Darnbi, et al.
Published: (2024)
by: Sakong, Darnbi, et al.
Published: (2024)
A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
by: Wang, Tangtang, et al.
Published: (2025)
by: Wang, Tangtang, et al.
Published: (2025)
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Complementary Recommendation in E-commerce: Definition, Approaches, and Future Directions
by: Li, Linyue, et al.
Published: (2024)
by: Li, Linyue, et al.
Published: (2024)
STAR: A Simple Training-free Approach for Recommendations using Large Language Models
by: Lee, Dong-Ho, et al.
Published: (2024)
by: Lee, Dong-Ho, et al.
Published: (2024)
Bridging Conversational and Collaborative Signals for Conversational Recommendation
by: Rabiah, Ahmad Bin, et al.
Published: (2024)
by: Rabiah, Ahmad Bin, et al.
Published: (2024)
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
by: Shimizu, Ryotaro, et al.
Published: (2024)
by: Shimizu, Ryotaro, et al.
Published: (2024)
InBox: Recommendation with Knowledge Graph using Interest Box Embedding
by: Xu, Zezhong, et al.
Published: (2024)
by: Xu, Zezhong, et al.
Published: (2024)
Not All Candidates are Created Equal: A Heterogeneity-Aware Approach to Pre-ranking in Recommender Systems
by: Tong, Pengfei, et al.
Published: (2026)
by: Tong, Pengfei, et al.
Published: (2026)
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems
by: Zhou, Jiahong, et al.
Published: (2023)
by: Zhou, Jiahong, et al.
Published: (2023)
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
by: Ganhör, Christian, et al.
Published: (2024)
by: Ganhör, Christian, et al.
Published: (2024)
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
by: Guidotti, Sabrina, et al.
Published: (2024)
by: Guidotti, Sabrina, et al.
Published: (2024)
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
by: Yadav, Nishant, et al.
Published: (2024)
by: Yadav, Nishant, et al.
Published: (2024)
User Embedding Model for Personalized Language Prompting
by: Doddapaneni, Sumanth, et al.
Published: (2024)
by: Doddapaneni, Sumanth, et al.
Published: (2024)
CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
by: Sun, Yi, et al.
Published: (2024)
by: Sun, Yi, et al.
Published: (2024)
EB-NeRD: A Large-Scale Dataset for News Recommendation
by: Kruse, Johannes, et al.
Published: (2024)
by: Kruse, Johannes, et al.
Published: (2024)
Leveraging LLM Reasoning Enhances Personalized Recommender Systems
by: Tsai, Alicia Y., et al.
Published: (2024)
by: Tsai, Alicia Y., et al.
Published: (2024)
A Survey on Popularity Bias in Recommender Systems
by: Klimashevskaia, Anastasiia, et al.
Published: (2023)
by: Klimashevskaia, Anastasiia, et al.
Published: (2023)
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework
by: Yang, Zhongqi, et al.
Published: (2024)
by: Yang, Zhongqi, et al.
Published: (2024)
Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommenders
by: Paneri, Kaushal, et al.
Published: (2024)
by: Paneri, Kaushal, et al.
Published: (2024)
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
by: Bhattacharya, Moumita, et al.
Published: (2024)
by: Bhattacharya, Moumita, et al.
Published: (2024)
LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations at eBay
by: Dey, Soumik, et al.
Published: (2025)
by: Dey, Soumik, et al.
Published: (2025)
A Survey of Latent Factor Models in Recommender Systems
by: Alshbanat, Hind I., et al.
Published: (2024)
by: Alshbanat, Hind I., et al.
Published: (2024)
Similar Items
-
Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders
by: Rozonoyer, Benjamin, et al.
Published: (2026) -
On the Theoretical Limitations of Embedding-Based Retrieval
by: Weller, Orion, et al.
Published: (2025) -
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
by: Sun, Zhongtian, et al.
Published: (2025) -
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
by: Öztürk, Sümeyye, et al.
Published: (2024) -
Personalized Image Generation for Recommendations Beyond Catalogs
by: Patron, Gabriel, et al.
Published: (2025)