:: Library Catalog

Salvato in:

Dettagli Bibliografici
Autori principali:	Ahluwalia, Aman, Sutradhar, Bishwajit, Ghosh, Karishma, Yadav, Indrapal, Sheetal, Arpan, Patil, Prashant
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2408.09236
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Modernizing Facebook Scoped Search: Keyword and Embedding Hybrid Retrieval with LLM Evaluation
di: Su, Yongye, et al.
Pubblicazione: (2025)

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

Understanding the User: An Intent-Based Ranking Dataset
di: Anand, Abhijit, 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)

Role-Augmented Intent-Driven Generative Search Engine Optimization
di: Chen, Xiaolu, et al.
Pubblicazione: (2025)

Image-Seeking Intent Prediction for Cross-Device Product Search
di: Hendriksen, Mariya, et al.
Pubblicazione: (2025)

Intent Classification on Low-Resource Languages with Query Similarity Search
di: Bhalla, Arjun, et al.
Pubblicazione: (2025)

COINBench: Moving Beyond Individual Perspectives to Collective Intent Understanding
di: Li, Xiaozhe, et al.
Pubblicazione: (2026)

Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
di: Li, Zhuofeng, et al.
Pubblicazione: (2026)

Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
di: Chen, Jinpeng, et al.
Pubblicazione: (2025)

Zero-Shot Retrieval for Scalable Visual Search in a Two-Sided Marketplace
di: Rusli, Andre, et al.
Pubblicazione: (2025)

Semantic Recall for Vector Search
di: Kuffo, Leonardo, et al.
Pubblicazione: (2026)

Finder: A Multimodal AI-Powered Search Framework for Pharmaceutical Data Retrieval
di: Mishra, Suyash, et al.
Pubblicazione: (2026)

Modeling User Behavior from Adaptive Surveys with Supplemental Context
di: Shukla, Aman, et al.
Pubblicazione: (2025)

Comparative Analysis of Neural Retriever-Reranker Pipelines for Retrieval-Augmented Generation over Knowledge Graphs in E-commerce Applications
di: Rumble, Teri, et al.
Pubblicazione: (2025)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
di: Shah, Chirag, et al.
Pubblicazione: (2023)

Improving Ad matching via Cluster-Adaptive Keyword Expansion and Relevance tuning
di: Saha, Dipanwita, et al.
Pubblicazione: (2025)

USimAgent: Large Language Models for Simulating Search Users
di: Zhang, Erhan, et al.
Pubblicazione: (2024)

Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents
di: Wang, Xiao, et al.
Pubblicazione: (2025)

ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
di: Zhai, Dakai, et al.
Pubblicazione: (2025)

Taxonomy-guided Semantic Indexing for Academic Paper Search
di: Kang, SeongKu, et al.
Pubblicazione: (2024)

AI Prior Art Search: Semantic Clusters and Evaluation Infrastructure
di: Genin, Boris, et al.
Pubblicazione: (2025)

Intent-Enhanced Data Augmentation for Sequential Recommendation
di: Chen, Shuai, et al.
Pubblicazione: (2024)

Sensitivity-Aware Retrieval-Augmented Intent Clarification
di: Larooij, Maik
Pubblicazione: (2026)

Semantic Search At LinkedIn
di: Borisyuk, Fedor, et al.
Pubblicazione: (2026)

A Reference Architecture for Agentic Hybrid Retrieval in Dataset Search
di: Terrenzi, Riccardo, et al.
Pubblicazione: (2026)

Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG
di: Nainwani, Harshit, et al.
Pubblicazione: (2025)

End-to-end Learnable Clustering for Intent Learning in Recommendation
di: Liu, Yue, et al.
Pubblicazione: (2024)

Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects
di: Cau, F. M., et al.
Pubblicazione: (2024)

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
di: Xia, Yu, et al.
Pubblicazione: (2025)

Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents
di: Harris, Lee
Pubblicazione: (2025)

REVISION:Reflective Intent Mining and Online Reasoning Auxiliary for E-commerce Visual Search System Optimization
di: Tang, Yiwen, et al.
Pubblicazione: (2025)

Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
di: Sawarkar, Kunal, et al.
Pubblicazione: (2024)

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
di: Liang, Yu, et al.
Pubblicazione: (2026)

Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool use
di: Subramanian, Shreyas, et al.
Pubblicazione: (2025)

ECI: Effective Contrastive Information to Evaluate Hard-Negatives
di: Sinha, Aarush, et al.
Pubblicazione: (2026)

Think Before You Retrieve: Learning Test-Time Adaptive Search with Small Language Models
di: Vijay, Supriti, et al.
Pubblicazione: (2025)

Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL
di: Zhu, Jianbo, et al.
Pubblicazione: (2026)

Pairwise Judgment Formulation for Semantic Embedding Model in Web Search
di: Hong, Mengze, et al.
Pubblicazione: (2024)

KG-First, LLM-Fallback: A Hybrid Microservice for Grounded Skill Search and Explanation
di: Le, Ngoc Luyen, et al.
Pubblicazione: (2026)