Program Development Project Practice

Introduction to the Capstone project focusing on search engine design in collaboration with Tencent. This module provides an overview of the project and introduces students to the course.

This module focuses on implementing Read Token Stream functionality for the search engine project. Students learn how to process and tokenize input streams, a fundamental component of search engine development.

This module covers the implementation of a storage index system for the search engine project. Students learn how to efficiently store and retrieve indexed data.

This module teaches students how to create an inverted index, a crucial data structure for efficient text search and retrieval in search engines. The inverted index maps terms to their locations in documents, enabling fast lookup.

This module focuses on document scoring algorithms. Students learn how to iterate through posting lists and assign relevance scores to documents based on search terms, a key aspect of ranking search results.

This module teaches students how to perform effective searches using the previously created inverted index. Students implement algorithms to quickly retrieve relevant documents based on search queries.

This module focuses on advanced scoring techniques for search results. Students learn how to combine multiple relevance factors to create composite scores that improve search result quality and relevance.

The final module covers query parsing techniques. Students learn how to interpret and process user search queries, breaking them down into components that can be effectively used by the search engine.