By leveraging the Apriori algorithm, we can categorize queries from GSC, aggregate PoP click data by category and use BERT embeddings to find semantically related categories.

Apriori algorithm is used to find closely related attributes using support and confidence measures. From closely related attributes a number of association rules are mined.

Association rules mining is one of the most popular data mining models. Minimum-support is used in association rules mining algorithms, like Apriori, FP-growth, eclat, etc. One problem Apriori ...