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I am building a recommender system which matches people's CV with a vacancy.
So far, I used TF-IDF & Cosine Similarity to get a matching score between a vacancy and a candidate's CV.
I want to know whether there are any other approaches to create such a recommendation engine?
Try word embeddings and unsupervised learning, for example:
main idea is that similiar users will be in similiar clusters
