– What? –
Who is using search nowadays when recommenders secretly choose for us in the background?
Personally, I do confess not having used the search bar in Youtube for a very long time. I just browse (a lot) and (sometimes) click on what’s presented to me.
– How? –
And for search engines also there is a similar trend with personalised search. Which is a fancy way to say “reordered results based on user past actions (or lack of actions)”.
But even stronger is the convergence of once distinct engines into a single unified search & recommendation engine.
For instance:
– Algolia search & recommendations
– Google Retail search & recommendations
– Recombee recommendations & search
– Why? –
I suspect that the recent progress in Vector databases (SeMI Technologies Weaviate, Pinecone, Zilliz Milvus.io) and Large Language Models is leading to a new hybrid type of engine, able to master both search and recommendations.
And you, what do you think?
WPSOLR: https://www.wpsolr.com
#wpsolr #googleretail #recombee #algolia #recommendersystems #searchengines
