Search Server

A high-performance document search system that ranks documents by relevance using the TF-IDF algorithm. It supports exclusion of documents containing specific "minus-words" and provides robust filtering and ranking capabilities.

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Features

• TF-IDF Ranking: Ranks documents by relevance based on Term Frequency-Inverse Document Frequency.
• Minus-Words Support: Excludes documents containing specific words from search results.
• Thread-Safe Execution: Utilizes Intel TBB for efficient multi-threaded performance.
• Flexible Query Handling: Handles multiple queries and efficiently filters relevant results.

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Example

Document Database:

 Doc id_1:   white cat and yellow hat
 Doc id_2:   curly cat curly tail
 Doc id_3:   nasty dog with big eyes
 Doc id_4:   nasty pigeon john

Query:

and with -john

Output:

ACTUAL:
{ document_id = 2, relevance = 0.866434, rating = 1 }
{ document_id = 1, relevance = 0.173287, rating = 1 }
{ document_id = 3, relevance = 0.173287, rating = 1 }
BANNED:
{ document_id = 4, relevance = 0.231049, rating = 1 }

Deployment Instructions

• Version Standard С++17
• Thread Building Blocks (Intel TBB)