Keyword-Based Search

Keyword-based search is a fundamental information retrieval technique where users input specific words or phrases (keywords) to find relevant documents, data, or content in a system. It operates by matching these keywords against indexed terms in a database or corpus, often using algorithms like Boolean logic or simple term matching. This approach is widely used in search engines, databases, and applications to enable quick, straightforward querying without complex syntax.

Also known as: Keyword search, Term-based search, Simple search, Text search, KBS

Why learn Keyword-Based Search?

Developers should learn keyword-based search for implementing basic search functionality in applications, such as e-commerce sites, content management systems, or document repositories, where users need to filter or locate items efficiently. It is essential when building systems that require simple, user-friendly query interfaces, and serves as a foundation for more advanced search techniques like full-text search or natural language processing.

Learning Resources

• book: Introduction to Information Retrieval
• tutorial: Keyword Search in Databases - GeeksforGeeks
• book: Search Engines: Information Retrieval in Practice
• tutorial: Building a Simple Keyword Search with Python
• video: Keyword-Based Search vs. Semantic Search - YouTube