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Link Prediction Recommendation Engines with Node2Vec
Using Node Embeddings for Link Prediction in Python
This article will cover the fundamental intuition behind link prediction, and showcase an embedding based approach on how to solve recommendation system problems using link prediction.
I will also outline a practice problem and guide the reader through on how to implement the proposed solution in Python. It’s a common approach when solving problems in recommendation systems using network analysis.
The focus of this article is going to be to show the reader on how to implement an algorithmic approach to solving link prediction problems using node2vec embeddings and cosine similarity or node2vec embeddings and a modelling based approach. If you’re unfamiliar with node2vec, I’ve written an article on it before, you can check it out below.
Node2Vec in the context of recommendation systems can be used for neighbourhood based applications. This is because node2vec preserves the initial structure of the network, the embeddings from…
