Introduction:
In this post, we learn about building a basic search engine or document retrieval system using Vector space model. This use case is widely used in information retrieval systems. Given a set of documents and search term(s)/query we need to retrieve relevant documents that are similar to the search query.
Problem statement:
The problem statement explained above is represented as in below image.
High level design of document search system is shown below :
The content of the post is as follows:
- Explaining various techniques used in Information retrieval such as vector space models, term document matrix, similarity score calculation
- Data description
- High level design of the document search system
- Code implementation in R
Please go thorough the complete blog at below location:
http://www.dataperspective.info/2017/11/information-retrieval-docum…