161–170 of 200 posts
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The database is just a building block for the search. You still have to implement a lot of logic and smartness on top. algolia does that out of the box.
It's not that hard though. I'm a junior dev and i managed to implement ES ( AWS hosted of course) for our site search on my on own. If i can do it, pretty sure majority of people can do it.
Google is beginning to show signs of accidental self-sabotage. Their AMP approach was so aggravating for me on mobile that I literally switched search engines to avoid it. And their insistence on scraping and summarizing things and trying to prevent you from even visiting other sites is slowly ruining even desktop searches. They are in danger of disruption.
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> the ad-word business model does not scale linearly with market share – e.g. the market leader collects a disproportionate share of the available profit Why is this so?
Essentially: network effects, efficiencies of scale, and costs of managing multiple small relationships (from the advertising buyer's PoV). Google's real monopoly at this point is ad-side.
Except on mobile. Banner ads on mobile are growing.
[1] http://fortune.com/2017/01/04/google-facebook-ad-industry/
That's a good question, and something I've spent much time on. Cuil (2008-2010) tried. I knew some of those people. It cost them about $30 million to launch a full scale search engine. They had no revenue model. In retrospect, they were hoping to be acquired by somebody. It was some ex-Google people, trying to replicate older Google technology. They had a great launch, but the system wasn't very good and traffic rapi…
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I was very young when Google became popular. Why did it become so popular? Was it just the technological advance of Google-Matrix (Page Rank) and Map-Reduce?
To understand that, you'd need to know just how bad search was before Google. Search wasn't even a "thing" on its own, it was usually merely a feature of large portals (AltaVista, AOL) which were large, slow, cumbersome and gave pretty irrelevant search results. At that time, search relied mostly on the meta tags of the pages themselves - which was easy to game and lead to a lot of spam in the search results back the…
I think that definitely. Google lacks in quite a few areas, I think that a.) storing more data about the sites (and doing something interesting with said data) b.) improve the UI/UX for power users. The best part is that I can imagine that there would be quite a few people who would pay actual money for being able to use a better search engine. Note that the Bloomberg terminal, is, among others, a search engine. For…
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There's no syntax of which I'm aware which tells Google to not "correct" or expand the results. When I'm seeking specific matches, I'm seeking really fucking specific matches. Google annoy me to no end.
+word It used to force to search the word exactly as written.
I've done some large-scale searching where the most relevant detail is how many results are returned, most particularly for a specific domain. (For which, incidentally, there's no handy mechanism to accomplish, so it's * , and multiplicative explosion of searches, plus about a 45s timeout per query to avoid triggering bot defenses by Google.
Such as this:
https://www.reddit.com/r/dredmorbius/comments/3hp41w/trackin...
I think that definitely. Google lacks in quite a few areas, I think that a.) storing more data about the sites (and doing something interesting with said data) b.) improve the UI/UX for power users. The best part is that I can imagine that there would be quite a few people who would pay actual money for being able to use a better search engine. Note that the Bloomberg terminal, is, among others, a search engine. For…
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Yes, but Elasticsearch requires a dedicated server, you may have to use a river, you may have to shard, etc. Some people (most people?) don't want to think about shards & rivers and just want something to work. Algolia seems to do that.
I know what a shard is, but what's a river? I've never heard anyone use that term in a technical context before.