Diagrammatic illustration of web pages represented as internal link vectoring
Structure

Internal Link Vectoring: Utilizing Semantic Embeddings for Graph Network Modeling

Internal link vectoring uses text embeddings and vector similarity to identify semantically related pages that may represent internal-link opportunities. Instead of relying only on shared keywords, the method represents pages or passages numerically and compares them for semantic relatedness. Embeddings can be used to measure how closely pieces of text relate, including through cosine similarity.

Internal Link Vectoring: Utilizing Semantic Embeddings for Graph Network Modeling Read Article