Patent attributes
Systems and techniques are generally described for detecting evasive terms in item listings. In some examples, a first list of terms is determined. Terms of the first list of terms may be associated with evasive listing practices. In various examples, a first embedding representing a first term in an embedding space may be determined. In some examples, the top k closest embeddings in the embedding space to the first embedding may be determined. A term associated with one of the top k embeddings may be determined. A first Levenshtein distance between the first term and the second term may be determined. A list of items associated with the second term may be determined based on the Levenshtein distance being less than a threshold distance. An alert related to the list of items may be generated.
