Crash Course AI: Search Engines and Knowledge Bases

The video explores the evolution and functioning of search engines, highlighting their AI components. It explains how search engines gather, organize, and rank data using web crawlers and inverted indexes. The video also discusses user interactions that help train AI systems and introduces knowledge bases like NELL for direct answers. Challenges such as bias and limitations in AI are addressed, emphasizing the need for continuous improvement.

What is one of the main roles of search engines in modern life?

• To help us find information quickly

• To make dinner conversations more interesting

• To create new websites

• To replace libraries entirely

What is the primary function of a web crawler in search engines?

• To delete outdated web pages

• To rank web pages based on popularity

• To create new web pages

• To systematically find and download web pages

How do search engines use an inverted index?

• To create new web pages

• To delete duplicate web pages

• To list web pages that contain specific words

• To store images of web pages

What does a 'bounce' indicate in search engine user behavior?

• A bad search result

• A high-ranking web page

• A new search query

• A successful search result

How do search engines learn to rank web pages?

• By using only the newest web pages

• By hiring supervisors to grade each page

• By analyzing user behavior like bounces and click-throughs

• By randomly selecting pages

What is a knowledge base in the context of AI?

• A list of popular search terms

• A collection of web pages

• A system that encodes information as relationships between objects

• A database of user queries

What was the purpose of the NELL project?

• To rank web pages based on user preferences

• To replace human librarians

• To extract facts from web pages and build a knowledge base

• To create a new search engine

Why do AI systems struggle with questions like 'How many trees are in Ohio?'

• Because they require specific data not commonly available

• Because they are too simple

• Because they are not related to popular topics

• Because they involve fictional concepts

What is a significant challenge for AI systems in search engines?

• Creating new web pages

• Dealing with biased data

• Finding the fastest internet connection

• Understanding fictional stories

What can cause bias in search engine results?

• The age of the web page

• The design of the web page

• The data available online

• The number of images on a web page