A team project applying various algorithms learned in Discrete Structures to a real search system
Automatically collects suggested queries and related sentences from Google search results.
Tracks the frequency of user input keywords to provide personalized search results.
Filters out only the most relevant information from collected data.
Saves user search history to continuously improve personalization.