Cover Image

The Discovery Gap: How Product Hunt Startups Vanish in LLM Organic Discovery Queries

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Sharma, Amit Prakash
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RankEvolve: Automating the Discovery of Retrieval Algorithms via LLM-Driven Evolution
by: Nian, Jinming, et al.
Published: (2026)

Literature Based Discovery (LBD): Towards Hypothesis Generation and Knowledge Discovery in Biomedical Text Mining
by: Bhasuran, Balu, et al.
Published: (2023)

Causal Discovery in Recommender Systems: Example and Discussion
by: Cavenaghi, Emanuele, et al.
Published: (2024)

Learning from Litigation: Graphs and LLMs for Retrieval and Reasoning in eDiscovery
by: Lahiri, Sounak, et al.
Published: (2024)

ML-Asset Management: Curation, Discovery, and Utilization
by: Wang, Mengying, et al.
Published: (2025)

Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment
by: Khalid, Mutahira, et al.
Published: (2024)

Automatic In-Domain Exemplar Construction and LLM-Based Refinement of Multi-LLM Expansions for Query Expansion
by: Li, Minghan, et al.
Published: (2026)

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
by: Lee, Jaehyun, et al.
Published: (2026)

Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap
by: Mallapragada, Srivatsa, et al.
Published: (2025)

ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
by: Yao, Sijia, et al.
Published: (2025)

RAVEN: An Agentic Framework for Multimodal Entity Discovery from Large-Scale Video Collections
by: Rosa, Kevin Dela
Published: (2025)

Real-Time Trend Prediction via Continually-Aligned LLM Query Generation
by: Hui, Zijing, et al.
Published: (2026)

Query-Conditioned Graph Retrieval for Contextualized LLM Reasoning in Personalized Wearable Data
by: Lu, Zhenyu, et al.
Published: (2026)

SeDa: A Unified System for Dataset Discovery and Multi-Entity Augmented Semantic Exploration
by: Ling, Kan, et al.
Published: (2026)

Retrieval-Feedback-Driven Distillation and Preference Alignment for Efficient LLM-based Query Expansion
by: Li, Minghan, et al.
Published: (2026)

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems
by: Tang, Heng, et al.
Published: (2025)

ReBOL: Retrieval via Bayesian Optimization with Batched LLM Relevance Observations and Query Reformulation
by: Korikov, Anton, et al.
Published: (2026)

IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System
by: Chen, Shangyu, et al.
Published: (2025)

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform
by: Kim, Beomsu, et al.
Published: (2024)

How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback
by: Huang, Manzong, et al.
Published: (2025)

Semantic In-Domain Product Identification for Search Queries
by: Sharma, Sanat, et al.
Published: (2024)

Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation
by: Wen, Qianfeng, et al.
Published: (2024)

Hunt Globally: Wide Search AI Agents for Drug Asset Scouting in Investing, Business Development, and Competitive Intelligence
by: Vinogradov, Vlad, et al.
Published: (2026)

FinAI Data Assistant: LLM-based Financial Database Query Processing with the OpenAI Function Calling API
by: Kim, Juhyeong, et al.
Published: (2025)

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs
by: Liu, Lihui, et al.
Published: (2024)

LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-modal Data
by: Wang, Yifan, et al.
Published: (2024)

DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research
by: Wang, Zifeng, et al.
Published: (2025)

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
by: Chopra, Harshita, et al.
Published: (2024)

QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort
by: Gopalakrishnan, Sriram, et al.
Published: (2025)

Tuning-Free LLM Can Build A Strong Recommender Under Sparse Connectivity And Knowledge Gap Via Extracting Intent
by: Zheng, Wenqing, et al.
Published: (2025)

Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments
by: Bhattacharyya, Aniket, et al.
Published: (2025)

LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs
by: Emonet, Vincent, et al.
Published: (2024)

The Surprising Effectiveness of Rankers Trained on Expanded Queries
by: Anand, Abhijit, et al.
Published: (2024)

A Hierarchical Multi-Agent System for Autonomous Discovery in Geoscientific Data Archives
by: Pantiukhin, Dmitrii, et al.
Published: (2026)

Towards a Theoretical Understanding of Two-Stage Recommender Systems
by: Jaiswal, Amit Kumar
Published: (2024)

Transfer Learning for E-commerce Query Product Type Prediction
by: Tigunova, Anna, et al.
Published: (2024)

AgentSelect: Benchmark for Narrative Query-to-Agent Recommendation
by: Shi, Yunxiao, et al.
Published: (2026)

Structure Guided Retrieval-Augmented Generation for Factual Queries
by: Xie, Miao, et al.
Published: (2026)

Enhancing and Scaling Search Query Datasets for Recommendation Systems
by: Rodrigues, Aaron, et al.
Published: (2025)

HyQE: Ranking Contexts with Hypothetical Query Embeddings
by: Zhou, Weichao, et al.
Published: (2024)