If I have a list of job postings stored as raw texts and I want to compare the similarity of all the job postings to a given resume, what techniques or algorithms should I use?I'm thinking of starting with a model that converts the job postings into a vector space using TF-IDF and then just calculate the matrix cosine similarity. Can I improve on this?
What techniques should I use to compare the similarity between a bunch of texts?
nlp;similarity;cosine distance;similar documents