Focused Crawler

Focused crawlers are web crawlers designed to efficiently discover and index web pages relevant to a specific topic, maximizing the harvest rate of pertinent information while minimizing irrelevant content. Recent research emphasizes improving crawler efficiency through machine learning techniques, such as reinforcement learning and BERT-based classification, to dynamically adapt crawling strategies and prioritize promising links. These advancements are significant for applications like cybersecurity threat intelligence gathering and market analysis, enabling more effective information retrieval from the vast expanse of the web.

Papers