Copertina

LLM-Enhanced Topical Trend Detection at Snapchat

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Hangqi, Li, Jay, Bhattacharya, Abhiruchi, Ni, Cong, Yeung, Jason, Ye, Jinchao, Yang, Kai, Malu, Akshat, Malik, Manish
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
di: Ju, Clark Mingxuan, et al.
Pubblicazione: (2026)

Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat
di: Ju, Clark Mingxuan, et al.
Pubblicazione: (2025)

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study
di: Fang, Qixiang, et al.
Pubblicazione: (2023)

BERTrend: Neural Topic Modeling for Emerging Trends Detection
di: Boutaleb, Allaa, et al.
Pubblicazione: (2024)

Qualitative Insights Tool (QualIT): LLM Enhanced Topic Modeling
di: Kapoor, Satya, et al.
Pubblicazione: (2024)

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation
di: Yu, Qing, et al.
Pubblicazione: (2025)

Towards Scalable Topic Detection on Web via Simulating Levy Walks Nature of Topics in Similarity Space
di: Pang, Junbiao, et al.
Pubblicazione: (2024)

Experimental Evaluation of Dynamic Topic Modeling Algorithms
di: Onah, Ngozichukwuka, et al.
Pubblicazione: (2025)

Using LLM-Based Approaches to Enhance and Automate Topic Labeling
di: Khandelwal, Trishia
Pubblicazione: (2025)

Options-Aware Dense Retrieval for Multiple-Choice query Answering
di: Singh, Manish, et al.
Pubblicazione: (2025)

Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
di: Tran, Nhat, et al.
Pubblicazione: (2024)

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services
di: Yuan, Wei, et al.
Pubblicazione: (2024)

Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs
di: Akash, Pritom Saha, et al.
Pubblicazione: (2024)

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts
di: Li, Xinyu, et al.
Pubblicazione: (2024)

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy
di: Uapadhyay, Rishabh, et al.
Pubblicazione: (2025)

Improving Topic Relevance Model by Mix-structured Summarization and LLM-based Data Augmentation
di: Liu, Yizhu, et al.
Pubblicazione: (2024)

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
di: Zhao, Xiaoyan, et al.
Pubblicazione: (2025)

Direct Preference Optimization for LLM-Enhanced Recommendation Systems
di: Sun, Chao, et al.
Pubblicazione: (2024)

Utilizing Contextual Clues and Role Correlations for Enhancing Document-level Event Argument Extraction
di: Liu, Wanlong, et al.
Pubblicazione: (2023)

MLego: Interactive and Scalable Topic Exploration Through Model Reuse
di: Ye, Fei, et al.
Pubblicazione: (2025)

Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
di: Gienapp, Lukas, et al.
Pubblicazione: (2025)

Topic-Centric Explanations for News Recommendation
di: Liu, Dairui, et al.
Pubblicazione: (2023)

Quantitative Analysis of IITs' Research Growth and SDG Contributions
di: Sharma, Kiran, et al.
Pubblicazione: (2024)

TCDE: Topic-Centric Dual Expansion of Queries and Documents with Large Language Models for Information Retrieval
di: Yang, Yu, et al.
Pubblicazione: (2025)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
di: Wang, Chengbing, et al.
Pubblicazione: (2024)

WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web
di: Zhao, Zihuai, et al.
Pubblicazione: (2025)

Written Representation of Topics and the Production of Query Terms
di: Tagliacozzo, Renata, et al.
Pubblicazione: (1971)

Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution
di: Chen, Junjie, et al.
Pubblicazione: (2025)

A Research Vision for Web Search on Emerging Topics
di: Rieger, Alisa, et al.
Pubblicazione: (2025)

Enhancing Online Support Group Formation Using Topic Modeling Techniques
di: Barman, Pronob Kumar, et al.
Pubblicazione: (2026)

BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection
di: Ranaweera, Nishavi, et al.
Pubblicazione: (2025)

Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
di: Wang, Zihan, et al.
Pubblicazione: (2025)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
di: Wang, Hao, et al.
Pubblicazione: (2025)

Enhancing Long-Term Welfare in Recommender Systems: An Information Revelation Approach
di: Zhao, Xu, et al.
Pubblicazione: (2025)

Towards LLM-Enhanced Product Line Scoping
di: Felfernig, Alexander, et al.
Pubblicazione: (2025)

LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG
di: Chandra, Manish, et al.
Pubblicazione: (2026)

"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval"
di: Parry, Andrew, et al.
Pubblicazione: (2024)

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
di: Hong, Minjie, et al.
Pubblicazione: (2025)

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation
di: Cui, Yu, et al.
Pubblicazione: (2025)

A Deep Dive into OpenStreetMap Research Since its Inception (2008-2024): Contributors, Topics, and Future Trends
di: Sun, Yao, et al.
Pubblicazione: (2026)