A Quote by Jenna Wortham
Spotify, Tidal, and even YouTube, to a degree, are vast and rich troves of music, but they primarily function as search engines organized by algorithms. You typically have to know what you're looking for in order to find it.
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When Spotify launched in the U.S. in 2011, it relied on simple usage-based algorithms to connect users and music, a process known as 'collaborative filtering.' These algorithms were more often annoying than useful.
Competitors argue that Google rigs its search algorithms to demote listings for competing search engines. Many of the allegations of demotion come generally from sites of pretty questionable quality, such as Nextag and Foundem. Some of Google's primary competitors in 'specialized search' clearly place well in search results - Amazon and Yelp.
The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems.
One thing we should all understand is that we are brutally honest with search engines. You show me your search history, and I'll find something incriminating or something embarrassing there in five minutes. We are more honest with search engines than we are with our families.
Many people bypass search engines altogether and still find what they're looking for online. These Internet surfers are using direct navigation.
Traditional horizontal search engines cannot always identify the target audience, niche or vertical industry of a page or site. Vertical search engines address this issue by the nature of their design. They identify sites according to more specific criteria and sometimes even by human input.
Vertical search engines that match your business, service or products with a target market offer you a higher conversion rate than traditional search engines. Because they have already qualified their interest by coming to a search engine with a specific focus, searchers will be more receptive to targeted advertising.
A common mistake we make is that we look for God in places where we ourselves wish to find him, yet even in the physical reality this is a complete failure. For example, if you lost your car keys, you would not search where you want to search, you would search where you must in order to find them.
If you think about YouTube, YouTube is a 'searching the world's videos' problem, right? They all have to be there, but how do you find them? What I guess I'm trying to say is that search is still the killer app.
And if my 10-year-old is Googling or looking on YouTube then she's got to do it in a room where we're present. We've put all the child safety settings in place, but you still can't predict what might turn up on a YouTube or Google search.
And I've found that, you know, the world of music is so vast and so broad, but at the same time, it's easy to find parts of yourself in places that you wouldn't even think that you were, you know?
Remember, when you go to YouTube, you do a search. When you go to Google, you do a search. As we get the search integrated between YouTube and Google, which we're working on, it will drive a lot of traffic into both places. So the trick, overall, is generating more searches, more uses of Google.
In the U.S., search engines are king. That is because everyone already knows what they are looking for. Brands have been around for a long time.
I think as more people use the phones to access the Internet, they have a lot less patience for trying to find things on the search engines. That is because you need to figure a lot of things out for search to work.
There are half a billion people that listen to music online and the vast majority are doing so illegally. But if we bring those people over to the legal side and Spotify, what is going to happen is we are going to double the music industry and that will lead to more artists creating great new music.
Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.
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