No, really. Especially if Google is using search queries and clicks to update ML models - non technical people "pollute" the algorithms with poorly formed queries and overwhelming numbers of clicks on non technical articles.
There's probably enough of a niche now for a genuine technical search engine. Which treats keywords like Google used to, maybe with some regex thrown in and what not. None of this full question nonsense.
I personally believe that allowing people to search with full queries has had a negative effect on society - very little critical thought goes into which parts of your question are actually important, and searching is no longer a learnable skill; just ask a literal question and let Google do all the thinking for you.
It is an interesting viewpoint. One of the advantages of Twitter is that people can weight, or Twitter itself can weight who is posting and sharing that information. For instance, if Fred Wilson writes something about startups or VC, I generally find it interesting, if he writes about public markets, I largely ignore it. Originally, page rank probably solved quality of the source well enough, but as more interesting content is appearing in podcasts or niche, subscription blogs, does the approach need to be drastically different? What I mean is rather than Google's algorithm likely boosting the popularly clicked and shared post, "10 Things I learned as a VC Intern", should Google's ML algorithm weight that click based on the expertise of the search user or subject matter density, etc.? Like should Linus Torvalds clicking on a link be given far more importance on a technical/software related query than myself?
Or at least, rather than factoring in the expertise of the clicker, factor in the similarity of the clicker to the new searcher, so as to predict the new searcher's behaviour.
No, really. Especially if Google is using search queries and clicks to update ML models - non technical people "pollute" the algorithms with poorly formed queries and overwhelming numbers of clicks on non technical articles.
There's probably enough of a niche now for a genuine technical search engine. Which treats keywords like Google used to, maybe with some regex thrown in and what not. None of this full question nonsense.
I personally believe that allowing people to search with full queries has had a negative effect on society - very little critical thought goes into which parts of your question are actually important, and searching is no longer a learnable skill; just ask a literal question and let Google do all the thinking for you.