Definition: Semantic search is a type of information retrieval that aims to understand the meaning and context of a search query, rather than simply matching keywords.

Detailed Description:

Semantic search algorithms use natural language processing techniques to analyze the meaning and intent of a search query and retrieve relevant results based on their semantic similarity. This allows for more accurate and relevant search results compared to traditional keyword-based search.

Semantic search is used in various applications, such as:

• Search engines: Improving search results by understanding the meaning of search queries.
• Question answering systems: Answering questions based on a given text.
• Recommendation systems: Suggesting relevant products or content based on user preferences.

Related Terms:

• Natural Language Processing (NLP)
• Information Retrieval
• Search Engine
• Knowledge Graph
• Semantic Web

FAQs:

1. How is semantic search different from traditional keyword-based search?

   • Semantic search focuses on understanding the meaning and context of a search query, while traditional keyword-based search relies solely on matching keywords.

2. What are the benefits of using semantic search?

   • Semantic search can improve the accuracy and relevance of search results, making it easier for users to find the information they need.

3. How is semantic search used in recommendation systems?

   • Semantic search can be used to recommend products or content that is similar to what a user has previously shown interest in.