I am behind schedule on developing a "summer phase" [1] for my foxographer costume and was chatting with Gemini about a crash priority "spring phase" [2] and asked it for suggestions and it gave me a 10-pack of results that had one good thing in it at rank #8, a similar query run against a normal search engine actually got something better at #1. Now sure I am talking w/ Gemini with big words like "supergraphic" whereas a normal search would be heavy on 3-letter and 5-letter words used in the product descriptions.
It makes think though of expert system based product configurators back in the 1980s
thing is that kind of product configurator is based on an ontology, constraints and rules as opposed to embeddings which might capture the "feel" of things like clothing.
[1] Busytown meets Arknights
[2] supergraphic shirt + camera gets resonance with my promotional system and people keep approaching me (e.g. laugh but every KPI in the system has an extra zero on the left)
I am behind schedule on developing a "summer phase" [1] for my foxographer costume and was chatting with Gemini about a crash priority "spring phase" [2] and asked it for suggestions and it gave me a 10-pack of results that had one good thing in it at rank #8, a similar query run against a normal search engine actually got something better at #1. Now sure I am talking w/ Gemini with big words like "supergraphic" whereas a normal search would be heavy on 3-letter and 5-letter words used in the product descriptions.
It makes think though of expert system based product configurators back in the 1980s
https://en.wikipedia.org/wiki/Xcon
thing is that kind of product configurator is based on an ontology, constraints and rules as opposed to embeddings which might capture the "feel" of things like clothing.
[1] Busytown meets Arknights
[2] supergraphic shirt + camera gets resonance with my promotional system and people keep approaching me (e.g. laugh but every KPI in the system has an extra zero on the left)