Infinite PAA machine learning assumptions:

latix60748@egvo

Edge strength can also be determined by distribution similarity, lexical similarity, word embedding-based similarity, etc.


Google is providing additional PAA based on the strongest relative edge in the expanded query.

You can continue with unlimited PAA overlaps and the theme will change accordingly:


The above topic changes occur through a series of small relationship colombia whatsapp data suggestions. The PAA above this screenshot is "What does SMO stand for?" (not a spelling mistake, just the neural network trying its best), which leads to the "What does SMO stand for" bracket? ”(for ankle)۔

This immediately made me think about relational word graphs and my vision of what Google is doing:


I wish my parents hung it on the refrigerator.

My hypothesis is that the machine learning model calculated that because I am interested in "SMO", I may also be interested in "Hui Yu" and also calculated that because I am interested in "SMO"

There are many ways SEOs and digital marketers can leverage topic relevance and seize PAA opportunities.