GEO: Generative Engine Optimization
Fuente:
arXiv
Guardado en:
| Autores principales: | Aggarwal, Pranjal, Murahari, Vishvak, Rajpurohit, Tanmay, Kalyan, Ashwin, Narasimhan, Karthik, Deshpande, Ameet |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
QualEval: Qualitative Evaluation for Model Improvement
por: Murahari, Vishvak, et al.
Publicado: (2023)
por: Murahari, Vishvak, et al.
Publicado: (2023)
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
por: Chaudhari, Shreyas, et al.
Publicado: (2024)
por: Chaudhari, Shreyas, et al.
Publicado: (2024)
Agent Context Protocols Enhance Collective Inference
por: Bhardwaj, Devansh, et al.
Publicado: (2025)
por: Bhardwaj, Devansh, et al.
Publicado: (2025)
PersonaGym: Evaluating Persona Agents and LLMs
por: Samuel, Vinay, et al.
Publicado: (2024)
por: Samuel, Vinay, et al.
Publicado: (2024)
Probing AI Safety with Source Code
por: Narayan, Ujwal, et al.
Publicado: (2025)
por: Narayan, Ujwal, et al.
Publicado: (2025)
E-GEO: A Testbed for Generative Engine Optimization in E-Commerce
por: Bagga, Puneet S., et al.
Publicado: (2025)
por: Bagga, Puneet S., et al.
Publicado: (2025)
RewardRank: Optimizing True Learning-to-Rank Utility
por: Bhatt, Gaurav, et al.
Publicado: (2025)
por: Bhatt, Gaurav, et al.
Publicado: (2025)
IF-GEO: Conflict-Aware Instruction Fusion for Multi-Query Generative Engine Optimization
por: Zhou, Heyang, et al.
Publicado: (2026)
por: Zhou, Heyang, et al.
Publicado: (2026)
Matlas: A Semantic Search Engine for Mathematics
por: Ju, Haocheng, et al.
Publicado: (2026)
por: Ju, Haocheng, et al.
Publicado: (2026)
Content-based Recommendation Engine for Video Streaming Platform
por: Khadka, Puskal, et al.
Publicado: (2023)
por: Khadka, Puskal, et al.
Publicado: (2023)
Generative Engine Optimization: How to Dominate AI Search
por: Chen, Mahe, et al.
Publicado: (2025)
por: Chen, Mahe, et al.
Publicado: (2025)
Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine
por: Padalkar, Unmesh
Publicado: (2026)
por: Padalkar, Unmesh
Publicado: (2026)
Spike Hijacking in Late-Interaction Retrieval
por: Suresh, Karthik, et al.
Publicado: (2026)
por: Suresh, Karthik, et al.
Publicado: (2026)
One Word is Enough: Minimal Adversarial Perturbations for Neural Text Ranking
por: Karmakar, Tanmay, et al.
Publicado: (2026)
por: Karmakar, Tanmay, et al.
Publicado: (2026)
Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding
por: Tripathi, Vishesh, et al.
Publicado: (2025)
por: Tripathi, Vishesh, et al.
Publicado: (2025)
HARNESS-LM: A Three-Phase Training Recipe for Harnessing SLMs in Sponsored Search Retrieval
por: Gupta, Vipul, et al.
Publicado: (2026)
por: Gupta, Vipul, et al.
Publicado: (2026)
When Search Engine Services meet Large Language Models: Visions and Challenges
por: Xiong, Haoyi, et al.
Publicado: (2024)
por: Xiong, Haoyi, et al.
Publicado: (2024)
A Semantic Search Engine for Mathlib4
por: Gao, Guoxiong, et al.
Publicado: (2024)
por: Gao, Guoxiong, et al.
Publicado: (2024)
Lipschitz Dueling Bandits over Continuous Action Spaces
por: Sharma, Mudit, et al.
Publicado: (2026)
por: Sharma, Mudit, et al.
Publicado: (2026)
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
por: Wu, Shirley, et al.
Publicado: (2024)
por: Wu, Shirley, et al.
Publicado: (2024)
Listwise Preference Alignment Optimization for Tail Item Recommendation
por: Li, Zihao, et al.
Publicado: (2025)
por: Li, Zihao, et al.
Publicado: (2025)
Scalable Bayesian Optimization with Sparse Gaussian Process Models
por: Yang, Ang
Publicado: (2020)
por: Yang, Ang
Publicado: (2020)
Optimizing Product Deduplication in E-Commerce with Multimodal Embeddings
por: Kulunk, Aysenur, et al.
Publicado: (2025)
por: Kulunk, Aysenur, et al.
Publicado: (2025)
UDuo: Universal Dual Optimization Framework for Online Matching
por: Li, Bin, et al.
Publicado: (2025)
por: Li, Bin, et al.
Publicado: (2025)
Optimizing Conversational Product Recommendation via Reinforcement Learning
por: Liu, Kang
Publicado: (2025)
por: Liu, Kang
Publicado: (2025)
Fast Slate Policy Optimization: Going Beyond Plackett-Luce
por: Sakhi, Otmane, et al.
Publicado: (2023)
por: Sakhi, Otmane, et al.
Publicado: (2023)
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
por: Xu, Cong, et al.
Publicado: (2023)
por: Xu, Cong, et al.
Publicado: (2023)
Navigating the Evaluation Funnel to Optimize Iteration Speed for Recommender Systems
por: Schultzberg, Claire, et al.
Publicado: (2024)
por: Schultzberg, Claire, et al.
Publicado: (2024)
End-to-End Semantic ID Generation for Generative Advertisement Recommendation
por: Jiang, Jie, et al.
Publicado: (2026)
por: Jiang, Jie, et al.
Publicado: (2026)
Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank
por: Seran, Suryaa Veerabathiran, et al.
Publicado: (2026)
por: Seran, Suryaa Veerabathiran, et al.
Publicado: (2026)
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
por: Xue, Zhenghai, et al.
Publicado: (2023)
por: Xue, Zhenghai, et al.
Publicado: (2023)
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
por: Jeon, Dong Hyun, et al.
Publicado: (2025)
por: Jeon, Dong Hyun, et al.
Publicado: (2025)
Design and Evaluation of Whole-Page Experience Optimization for E-commerce Search
por: Lahiri, Pratik, et al.
Publicado: (2026)
por: Lahiri, Pratik, et al.
Publicado: (2026)
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
por: Shi, Wentao, et al.
Publicado: (2024)
por: Shi, Wentao, et al.
Publicado: (2024)
Mine and Refine: Optimizing Graded Relevance in E-commerce Search Retrieval
por: Xi, Jiaqi, et al.
Publicado: (2026)
por: Xi, Jiaqi, et al.
Publicado: (2026)
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
por: Xu, Chen, et al.
Publicado: (2025)
por: Xu, Chen, et al.
Publicado: (2025)
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank
por: Loveland, Donald, et al.
Publicado: (2024)
por: Loveland, Donald, et al.
Publicado: (2024)
Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank
por: Gupta, Shashank, et al.
Publicado: (2024)
por: Gupta, Shashank, et al.
Publicado: (2024)
Causal Predictive Optimization and Generation for Business AI
por: Zhao, Liyang, et al.
Publicado: (2025)
por: Zhao, Liyang, et al.
Publicado: (2025)
Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization
por: Iyengar, Garud, et al.
Publicado: (2024)
por: Iyengar, Garud, et al.
Publicado: (2024)
Ejemplares similares
-
QualEval: Qualitative Evaluation for Model Improvement
por: Murahari, Vishvak, et al.
Publicado: (2023) -
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
por: Chaudhari, Shreyas, et al.
Publicado: (2024) -
Agent Context Protocols Enhance Collective Inference
por: Bhardwaj, Devansh, et al.
Publicado: (2025) -
PersonaGym: Evaluating Persona Agents and LLMs
por: Samuel, Vinay, et al.
Publicado: (2024) -
Probing AI Safety with Source Code
por: Narayan, Ujwal, et al.
Publicado: (2025)