I love technology and all it brings us, but I find browsing in a good bookstore often more helpful than Amazon's recommendations or GoodReads or what have you. And the best part is, no one knows what I'm searching for - it's not stored forever in a database of my "preferences". (Yes, I know that bookstores save data on books that I buy, but Amazon et al track every click regardless of purchase)
Sometimes you can just walk through the library looking for something to read.
On HN a few months ago I came across someone claiming that web search was fine before Google and the only reason Google got popular was superior marketing.
I found that so completely shocking to me that someone didn't remember how bad it was. Then I realised that was nearly 20 years ago, and it was really only 7 years or so when search was bad.
I'd never felt so old before.
The "major" search engines before Google were Yahoo and Altavista, who were too busy trying to sell you a foggy concept of being "the Internet's start page" to be of any practical use when you actually wanted to find something specific. And of course plenty of people were stuck in their own ridiculous AOL microcosm.
Not only were the search engines lackluster and incomplete, the search results were also simply not very relevant. Often you'd only get good results because there simply wasn't enough content indexed for your queries to be in any way ambiguous but good luck if you were looking for anything you couldn't pin down to one or two very explicit search terms.
Kids these days don't know how good they have it with their Googles and their smartpads.
The moment I discovered Google in early 2000, I dumped Metacrawler and never went back.
But I do remember using Copernic.It was a meta search engine application. You had to install this one.
But that was based on a web where the amount of information was "small" and of searching within small bubbles we knew well, and spending a lot of time refining searches.
What "made" Google was first making search "good enough" that casual searches would return good results without spending time tuning inclusion/exclusion or figuring out which terms were used for a given subject first. Suddenly search "worked" for a lot of people and instances where it didn't work before, and for a rapidly growing internet population that made figuring out how to make an engine like Altavista work totally pointless.
Altavista was "better" once you had a hyperspecialised set of skills around using Altavista. But that too only lasted until Google had improved their algorithms a bit more combined with people starting to pay attention to SEO. Out went the last niches where the old-style engines could compete.
Also if you wanted Usenet search before DejaNews.
If you knew from past experience and searches that most people used term X when they wrote about Y, Altavista gave you more precise tools to narrow your search.
The whole point being that a subset of users were blinded by our in depth experience with Altavista into not seeing the advantages of Google as early on - we knew exactly how to work around the limitations.
The problem for Altavista, and advantage for Google, is that this doesn't scale. It takes a lot of effort to expand this to learning how to search in any new subject, and that effort grows dramatically as the amount of indexed pages increases and it becomes harder to find terms that act as good filters. It was only viable for a short period of time when the web was small and most people didn't think about SEO, and as long as we were still conditioned to treat a search engine as something you used for things you couldn't e.g. find in a directory.
The funny thing about that is Facebook was good when it was new and has been getting steadily worse.
I'm not sure it's that simple. On the subject of libraries in particular, Z39.50 is thirty years old now, and it's still scary and bad.