keras-io / Node2Vec_MovieLens

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Model's Last Updated: July 05 2024

Introduction of Node2Vec_MovieLens

Model Details of Node2Vec_MovieLens

Model description

This model demonstrates the Node2Vec technique on the small version of the Movielens dataset to learn movie embeddings.

Node2Vec Technique

Node2Vec 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. Given your data items structured as a graph (where the items are represented as nodes and the relationship between items are represented as edges), node2vec works as follows:

  • Generate item sequences using (biased) random walk.
  • Create positive and negative training examples from these sequences.
  • Train a word2vec model (skip-gram) to learn embeddings for the items.

This model is an example of applying Node2Vec technique on the small version of the Movielens dataset to learn movie embeddings. Such a dataset can be represented as a graph by treating the movies as nodes, and creating edges between movies that have similar ratings by the users. The learnt movie embeddings can be used for tasks such as movie recommendation, or movie genres prediction.

For more information on Node2Vec, please refer to its host page

Skip-Gram Model

Our skip-gram is a simple binary classification model that works as follows:

  • An embedding is looked up for the target movie.
  • An embedding is looked up for the context movie.
  • The dot product is computed between these two embeddings.
  • The result (after a sigmoid activation) is compared to the label.
  • A binary crossentropy loss is used.
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Credits

Author: Khalid Salama .
Based on the following Keras example Graph representation learning with node2vec by Khalid Salama
Check out the demo space here

Runs of keras-io Node2Vec_MovieLens on huggingface.co

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More Information About Node2Vec_MovieLens huggingface.co Model

Node2Vec_MovieLens huggingface.co

Node2Vec_MovieLens huggingface.co is an AI model on huggingface.co that provides Node2Vec_MovieLens's model effect (), which can be used instantly with this keras-io Node2Vec_MovieLens model. huggingface.co supports a free trial of the Node2Vec_MovieLens model, and also provides paid use of the Node2Vec_MovieLens. Support call Node2Vec_MovieLens model through api, including Node.js, Python, http.

Node2Vec_MovieLens huggingface.co Url

https://huggingface.co/keras-io/Node2Vec_MovieLens

keras-io Node2Vec_MovieLens online free

Node2Vec_MovieLens huggingface.co is an online trial and call api platform, which integrates Node2Vec_MovieLens's modeling effects, including api services, and provides a free online trial of Node2Vec_MovieLens, you can try Node2Vec_MovieLens online for free by clicking the link below.

keras-io Node2Vec_MovieLens online free url in huggingface.co:

https://huggingface.co/keras-io/Node2Vec_MovieLens

Node2Vec_MovieLens install

Node2Vec_MovieLens is an open source model from GitHub that offers a free installation service, and any user can find Node2Vec_MovieLens on GitHub to install. At the same time, huggingface.co provides the effect of Node2Vec_MovieLens install, users can directly use Node2Vec_MovieLens installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Node2Vec_MovieLens install url in huggingface.co:

https://huggingface.co/keras-io/Node2Vec_MovieLens

Url of Node2Vec_MovieLens

Node2Vec_MovieLens huggingface.co Url

Provider of Node2Vec_MovieLens huggingface.co

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