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 ## Model description
-This model demonstrates the node2vec technique on the small version of the Movielens dataset to learn movie embeddings[Node2Vec](https://snap.stanford.edu/node2vec/).
+This model demonstrates the [Node2Vec](https://snap.stanford.edu/node2vec/) technique on the small version of the [Movielens dataset](https://files.grouplens.org/datasets/movielens/ml-latest-small-README.html) to learn movie embeddings.
 
 ### Node2Vec Technique
 [Node2Vec](https://arxiv.org/abs/1607.00653) is a simple, yet scalable and effective technique for learning low-dimensional embeddings for nodes in a graph by optimising a neighbourhood-preserving objective. The aim is to learn similar embeddings for neighbouring nodes, with respect to the graph structure.