Information retrieval on the web

By Mei Kobayashi, Koichi Takeda. CSUR, 2000

731 citations recorded by the source corpus.

Subfields: Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/baa3e2e80414a266a2a428fe3b525fd3cd05ace2

Citations in the corpus

• A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models (2024, neutral): “As one of the most fundamental data mining techniques, retrieval aims to understand the input query and extract relevant information from external data sources [23, 29, 60, 118].”
• Retrieval And Structuring Augmented Generation with Large Language Models (2025, unknown): “It plays a crucial role in various tasks including internet browsing [115, 122, 201], question-answering systems [1, 111, 238], and LLM applications [53, 64, 303].”