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What is Vector Space Model in Information Retrieval about?
The document discusses vector space models for information retrieval. It describes how vector space models represent documents and queries as vectors of term weights in a high-dimensional space. Relevance is determined by the similarity between the document and query vectors, with more similar vectors indicating higher relevance. The document outlines key aspects of vector space models like term weighting, which assigns higher weights to more important terms based on factors like term frequency and inverse
- Author
- ctadventuresingh
- Language
- EN