Post by account_disabled on Jan 28, 2024 5:08:10 GMT
The query returns seven results in the carousel. bmw i8 SGE results Clicking on a result in the carousel often takes you to one of the “fraggles” (the term for passage ranking links that the brilliant Cindy Krum coined) that drop you on a specific sentence or paragraph. bmw i8 fraggle The implication is that these are the paragraphs or sentences that inform the AI snapshot. Naturally, our next step is to try to get a sense of how these results are ranked because they are not presented in the same order as the URLs cited in the copy.
I assume that this ranking is more about relevance DB to Data than anything else. bmw i8 - list of paragraphs To test this hypothesis, I vectorized the paragraphs using the Universal Sentence Encoder and compared them to the vectorized query to see if the descending order holds up. I’d expect the paragraph with the highest similarity score would be the first one in the carousel. bmw i8 - vectorized paragraphs similarity scores The results are not quite what I expected. Perhaps there may be some query expansion at play where the query I’m comparing is not the same as what Google might be comparing.
Either way, the result was enough for me to examine this further. Comparing the input paragraphs against the snapshot paragraph generated, the first result is the clear relevance winner. bmw i8 - vectorized paragraphs similarity scores 2 The chunk used in the first result being most similar to the AI snapshot paragraph has held up across a bunch of these that I’ve spot-checked. So, until I see evidence otherwise, ranking in the top 2 of the organic results and having the most relevant passage of content is the best way to get into the first slot in the carousel in SGE.
I assume that this ranking is more about relevance DB to Data than anything else. bmw i8 - list of paragraphs To test this hypothesis, I vectorized the paragraphs using the Universal Sentence Encoder and compared them to the vectorized query to see if the descending order holds up. I’d expect the paragraph with the highest similarity score would be the first one in the carousel. bmw i8 - vectorized paragraphs similarity scores The results are not quite what I expected. Perhaps there may be some query expansion at play where the query I’m comparing is not the same as what Google might be comparing.
Either way, the result was enough for me to examine this further. Comparing the input paragraphs against the snapshot paragraph generated, the first result is the clear relevance winner. bmw i8 - vectorized paragraphs similarity scores 2 The chunk used in the first result being most similar to the AI snapshot paragraph has held up across a bunch of these that I’ve spot-checked. So, until I see evidence otherwise, ranking in the top 2 of the organic results and having the most relevant passage of content is the best way to get into the first slot in the carousel in SGE.