Saved in:
| Main Authors: | Ebrahimi, Saeed, Jiang, Weijie, Yang, Jaewon, Gudmundsson, Olafur, Tu, Yucheng, Duan, Huizhong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.17277 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
by: Jiang, Weijie, et al.
Published: (2025)
by: Jiang, Weijie, et al.
Published: (2025)
A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems
by: Zhou, Yichu, et al.
Published: (2026)
by: Zhou, Yichu, et al.
Published: (2026)
Addressing Cold Start For next-article Recommendation
by: Elgohary, Omar, et al.
Published: (2025)
by: Elgohary, Omar, et al.
Published: (2025)
Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
by: Zhao, Yushang, et al.
Published: (2025)
by: Zhao, Yushang, et al.
Published: (2025)
FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems
by: Weimann, Kuba, et al.
Published: (2022)
by: Weimann, Kuba, et al.
Published: (2022)
Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
by: Hu, Jiacheng, et al.
Published: (2025)
by: Hu, Jiacheng, et al.
Published: (2025)
IDProxy: Cold-Start CTR Prediction for Ads and Recommendation at Xiaohongshu with Multimodal LLMs
by: Zhang, Yubin, et al.
Published: (2026)
by: Zhang, Yubin, et al.
Published: (2026)
MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
by: Liu, Jialin, et al.
Published: (2026)
by: Liu, Jialin, et al.
Published: (2026)
Pairwise and Attribute-Aware Decision Tree-Based Preference Elicitation for Cold-Start Recommendation
by: Gharahighehi, Alireza, et al.
Published: (2025)
by: Gharahighehi, Alireza, et al.
Published: (2025)
UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale
by: Li, Hanyu, et al.
Published: (2026)
by: Li, Hanyu, et al.
Published: (2026)
LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
by: Li, Yanhui, et al.
Published: (2025)
by: Li, Yanhui, et al.
Published: (2025)
RAGSys: Item-Cold-Start Recommender as RAG System
by: Contal, Emile, et al.
Published: (2024)
by: Contal, Emile, et al.
Published: (2024)
Shallow AutoEncoding Recommender with Cold Start Handling via Side Features
by: Cui, Edward DongBo, et al.
Published: (2025)
by: Cui, Edward DongBo, et al.
Published: (2025)
Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues
by: Luo, Yuanshuai, et al.
Published: (2024)
by: Luo, Yuanshuai, et al.
Published: (2024)
Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting
by: Andre, Alexandre, et al.
Published: (2025)
by: Andre, Alexandre, et al.
Published: (2025)
Maximum Impact with Fewer Features: Efficient Feature Selection for Cold-Start Recommenders through Collaborative Importance Weighting
by: Sukhorukov, Nikita, et al.
Published: (2025)
by: Sukhorukov, Nikita, et al.
Published: (2025)
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
by: Li, Hourun, et al.
Published: (2024)
by: Li, Hourun, et al.
Published: (2024)
Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
by: Pembek, Anton, et al.
Published: (2025)
by: Pembek, Anton, et al.
Published: (2025)
LLM-based Relevance Assessment for Web-Scale Search Evaluation at Pinterest
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
Bootstrapping Conditional Retrieval for User-to-Item Recommendations
by: Lin, Hongtao, et al.
Published: (2025)
by: Lin, Hongtao, et al.
Published: (2025)
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)
Ultra Fast Warm Start Solution for Graph Recommendations
by: Yusupov, Viacheslav, et al.
Published: (2025)
by: Yusupov, Viacheslav, et al.
Published: (2025)
Decoupled Entity Representation Learning for Pinterest Ads Ranking
by: Liu, Jie, et al.
Published: (2025)
by: Liu, Jie, et al.
Published: (2025)
Language-Model Prior Overcomes Cold-Start Items
by: Wang, Shiyu, et al.
Published: (2024)
by: Wang, Shiyu, et al.
Published: (2024)
Less is More: Benchmarking LLM Based Recommendation Agents
by: Chauhan, Kargi, et al.
Published: (2026)
by: Chauhan, Kargi, et al.
Published: (2026)
Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking
by: Su, Runze, et al.
Published: (2025)
by: Su, Runze, et al.
Published: (2025)
PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems
by: Agarwal, Prabhat, et al.
Published: (2025)
by: Agarwal, Prabhat, et al.
Published: (2025)
Cold-start Recommendation by Personalized Embedding Region Elicitation
by: Nguyen, Hieu Trung, et al.
Published: (2024)
by: Nguyen, Hieu Trung, et al.
Published: (2024)
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale
by: Ardywibowo, Randy, et al.
Published: (2024)
by: Ardywibowo, Randy, et al.
Published: (2024)
Large Language Model Simulator for Cold-Start Recommendation
by: Huang, Feiran, et al.
Published: (2024)
by: Huang, Feiran, et al.
Published: (2024)
Multiple Models for Recommending Temporal Aspects of Entities
by: Nguyen, Tu, et al.
Published: (2018)
by: Nguyen, Tu, et al.
Published: (2018)
Solving the Cold Start Problem on One's Own as an End User via Preference Transfer
by: Sato, Ryoma
Published: (2025)
by: Sato, Ryoma
Published: (2025)
Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning
by: Huang, Shuaishuai, et al.
Published: (2024)
by: Huang, Shuaishuai, et al.
Published: (2024)
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks
by: Belém, Fabiano, et al.
Published: (2024)
by: Belém, Fabiano, et al.
Published: (2024)
General Item Representation Learning for Cold-start Content Recommendations
by: Kim, Jooeun, et al.
Published: (2024)
by: Kim, Jooeun, et al.
Published: (2024)
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024)
by: Sun, Zexu, et al.
Published: (2024)
Towards Practical Large-scale Dynamical Heterogeneous Graph Embedding: Cold-start Resilient Recommendation
by: Long, Mabiao, et al.
Published: (2025)
by: Long, Mabiao, et al.
Published: (2025)
Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation
by: Li, Guoming, et al.
Published: (2026)
by: Li, Guoming, et al.
Published: (2026)
On the Reliability of Sampling Strategies in Offline Recommender Evaluation
by: Pereira, Bruno L., et al.
Published: (2025)
by: Pereira, Bruno L., et al.
Published: (2025)
Similar Items
-
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
by: Jiang, Weijie, et al.
Published: (2025) -
A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems
by: Zhou, Yichu, et al.
Published: (2026) -
Addressing Cold Start For next-article Recommendation
by: Elgohary, Omar, et al.
Published: (2025) -
Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
by: Zhao, Yushang, et al.
Published: (2025) -
FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems
by: Weimann, Kuba, et al.
Published: (2022)