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.

We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy, in particular) that do all the hard work.

One problem Apriori algorithm and other algorithms in the field association rules mining, this is user must determine the threshold minimum-support.

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.

It is well known that their approach can also be used to solve the general problem, without affecting the complexity of the algorithm. In this paper, we present an algorithm to solve the economic lot ...