Mapping Topics to Core Services/Products With Topical Proximity Classifier: Beyond Vector Embeddings and Cosine Similarity
If you’ve ever run an SEO content audit, you’ve probably used embeddings somewhere in the pipeline. Pull post titles, generate vectors, calculate cosine similarity between them, identify clusters, flag the duplicates. It’s the default approach…