Marton Trencseni - Sat 10 December 2022 • Tagged with similarity, python, gensim, word2vec, doc2vec, pyml
In the previous posts, I used the Doc2Vec neural network architecture to compute the similarities between my blog posts, and explored the quality of the scores. In this final post, I show how I added the final Articles You May Like recommendation sections to the blog — it's live!
Marton Trencseni - Sun 04 December 2022 • Tagged with similarity, python, gensim, word2vec, doc2vec, pyml
In the previous post, I used the Doc2Vec neural network architecture to compute the similarities between my blog posts. In this second post I investigate the results further by examining clusters in graphs.
Marton Trencseni - Sat 03 December 2022 • Tagged with similarity, python, gensim, word2vec, doc2vec, pyml
One of the things I learned at Facebook is the power of recommendations. Examples are People You May Know (PYMK), Groups You May Like (GYML) and Pages You May Like (PYML). Inspired by these, I am planning to add an Articles You May Like widget to Bytepawn, based on the semantic similarity of blog posts. I use the Doc2Vec neural network architecture to compute the similarity between my blog posts, and return the top 3 recommendations for each page.
