Location Aware Embedding for Geotargeting in Sponsored Search Advertising

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gligorijevic, Jelena, Gligorijevic, Djordje, Raghuveer, Aravindan, Grbovic, Mihajlo, Obradovic, Zoran
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Retrieval Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search
di: Zhang, Xiao, et al.
Pubblicazione: (2025)

Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
di: Nodozi, Iman, et al.
Pubblicazione: (2025)

Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising
di: Liu, Bin, et al.
Pubblicazione: (2025)

Towards Better Search with Domain-Aware Text Embeddings for C2C Marketplaces
di: Rusli, Andre, et al.
Pubblicazione: (2025)

OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising
di: Wang, Zhao, et al.
Pubblicazione: (2024)

HARNESS-LM: A Three-Phase Training Recipe for Harnessing SLMs in Sponsored Search Retrieval
di: Gupta, Vipul, et al.
Pubblicazione: (2026)

Applying Embedding-Based Retrieval to Airbnb Search
di: Abdool, Mustafa, et al.
Pubblicazione: (2026)

Generative Recommendation for Large-Scale Advertising
di: Xue, Ben, et al.
Pubblicazione: (2026)

Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification
di: Yang, Xiaojie, et al.
Pubblicazione: (2025)

MOON Embedding: Multimodal Representation Learning for E-commerce Search Advertising
di: Fu, Chenghan, et al.
Pubblicazione: (2025)

Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising
di: Liu, Tongtong, et al.
Pubblicazione: (2025)

Vertical Semi-Federated Learning for Efficient Online Advertising
di: Li, Wenjie, et al.
Pubblicazione: (2022)

Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search
di: Kirchoff, Kathryn E., et al.
Pubblicazione: (2024)

End-to-End Semantic ID Generation for Generative Advertisement Recommendation
di: Jiang, Jie, et al.
Pubblicazione: (2026)

Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
di: Ebrat, Danial, et al.
Pubblicazione: (2025)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
di: Liu, Langming, et al.
Pubblicazione: (2025)

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights
di: Sheng, Xiang-Rong, et al.
Pubblicazione: (2024)

Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
di: Wei, Penghui, et al.
Pubblicazione: (2022)

Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions
di: Shih, Kowei, et al.
Pubblicazione: (2025)

Intent-Aware Neural Query Reformulation for Behavior-Aligned Product Search
di: Yetukuri, Jayanth, et al.
Pubblicazione: (2025)

Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
di: Zhou, Chang, et al.
Pubblicazione: (2024)

Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search
di: Silva, Ivo, et al.
Pubblicazione: (2025)

AdaS&S: a One-Shot Supernet Approach for Automatic Embedding Size Search in Deep Recommender System
di: Wei, He, et al.
Pubblicazione: (2024)

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
di: Ge, Chendi, et al.
Pubblicazione: (2025)

Scaling Laws for Online Advertisement Retrieval
di: Wang, Yunli, et al.
Pubblicazione: (2024)

KP-Agent: Keyword Pruning in Sponsored Search Advertising via LLM-Powered Contextual Bandits
di: Long, Hou-Wan, et al.
Pubblicazione: (2025)

Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings
di: Gomes, Miguel Alves, et al.
Pubblicazione: (2024)

Learning Filter-Aware Distance Metrics for Nearest Neighbor Search with Multiple Filters
di: Sutradhar, Ananya, et al.
Pubblicazione: (2025)

Revisiting Bi-Encoder Neural Search: An Encoding--Searching Separation Perspective
di: Tran, Hung-Nghiep, et al.
Pubblicazione: (2024)

Test-Time Compute for Frozen Embedding Models through Agentic Program Search
di: Xiao, Han
Pubblicazione: (2026)

ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
di: Wang, Ruize, et al.
Pubblicazione: (2024)

VIBE: Vector Index Benchmark for Embeddings
di: Jääsaari, Elias, et al.
Pubblicazione: (2025)

Generalized Embedding Machines for Recommender Systems
di: Yang, Enneng, et al.
Pubblicazione: (2020)

AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents
di: Hu, Lingxiang, et al.
Pubblicazione: (2026)

Scaling Laws for Embedding Dimension in Information Retrieval
di: Killingback, Julian, et al.
Pubblicazione: (2026)

Topological Metric for Unsupervised Embedding Quality Evaluation
di: Shestov, Aleksei, et al.
Pubblicazione: (2025)

Semantic Outlier Removal with Embedding Models and LLMs
di: Akbiyik, Eren, et al.
Pubblicazione: (2025)

Is Cosine-Similarity of Embeddings Really About Similarity?
di: Steck, Harald, et al.
Pubblicazione: (2024)

ICLERB: In-Context Learning Embedding and Reranker Benchmark
di: Ghossein, Marie Al, et al.
Pubblicazione: (2024)

Compressing Search with Language Models
di: Mulc, Thomas, et al.
Pubblicazione: (2024)