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embedding-algorithms

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akhsassoualid / Headline_Recommender

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The project develops an application that suggests to the reader more similar articles to that he already read. It uses the embedding algorithms of headlines to create their own numerical representation, which allows to compute the similarity between headlines and get the most similar ones.

algorithms word2vec lda latent-dirichlet-allocation headline non-negative-matrix-factorization recommender-engine embedding-algorithms
  • Updated May 31, 2021
  • Python

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