Covectric is a simple vector based search engine using cosine similarity and tf–idf methods for finding text similarity between documents.
Two documents are said to be covectric if they share at least one dimension (or term).
> npm install covectric//instantiate the model
var covectric = require('covectric');
var model = new covectric.Model();
//populate the vector space and weight tokens based on term frequency
var id = 1;
['hello','hi','hi there','hey','hi to you'].forEach(function(t) {
model.upsertDocument(id++, t, t);
});
model.recomputeVectorBaseTokenWeights();
//search the vector space
var results = model.search("hi bob", 3);
console.log("Search Results:", results);See the samples directory in the repo for more examples of using Covectric
http://en.wikipedia.org/wiki/Vector_space_model
http://en.wikipedia.org/wiki/Cosine_similarity
http://en.wikipedia.org/wiki/Tf-idf
MIT Licensed