Web Crawling and Reinforcement Learning

The document discusses web crawling and reinforcement learning in the context of soft computing and search engine functionality. It explores the transparency and limitations of algorithms used in search engines, particularly focusing on Google's page ranking system and the implications of compensating for links. Additionally, it describes the concept of reinforced spidering and how reinforcement learning can be employed to improve the relevance and efficiency of web crawling by maximizing rewards based on user queries.