They expect students of a certain caliber. If the applicant exceeds their expectations, the university assumes the student is using this application as a “safety school.”
I think the authors are overlooking that a Disney movie is 1.5 hrs long and has the opportunity to cater to multiple audiences (eg, insert a joke that parents get but flies over the kids’ head), whereas an ad is viewed for a split second. Also, there is certainly specialization in content (BET vs MTV vs Disney Channel etc). The key to advertising is in going broad with the audiences to reach, but specific in the message for each segment.
(I’ve worked for one of the top TV and cinema content companies in the world, and currently working for one of the top DSPs (advertising)).
“Why would the cohort membership change frequently? Isn't it based on your browsing habits?” -> cohorts need to be rebalanced over time, so your cohort membership could change.
Cohorts cannot be too small (or they are not published), nor too big (or they are not particularly useful for capturing a particular set of behaviors/interests). The algorithm will balance these two constraints which will lead to any individuals coming in and out of particular cohorts. The semantic meaning of a cohort will likely change over time as well. For that, FLoC is proposing adding version IDs
Sure, but you’re trading accessibility/entertainment/<something else people value and typically accept as a given for living in Manhattan>. At a certain point, it makes more sense to leave Manhattan to one of the other boroughs, go across the river to New Jersey, or move further up to Westchester/ Long Island. Your money goes further there (housing, groceries).
I previously worked as Product lead for a homegrown CMS for one of the large media companies. We built a solution to address a myriad of content types (images, videos, voice, news articles, games, etc), For content in all major languages. I like this, and happy to chat if you want to get a perspective.
You need to think about it more holistically - not just YouTube, but Google as a whole (think about all the various Google enterprise products, cloud, etc).
That’s exactly right. I can’t talk numbers, but a consumer is more likely to stick with a channel/app by X% (where X is a significant number) if s/he watches Y shows. Y increases as X increases.
YouTube is not the content producer, rather strikes deals with content producers. The reality is there is consolidation in the media world, with a few mega corporations managing most channels. They typically bundle a few channels together for vMVPDs/MVPDs, for leverage - “you want channel X, you must also get channel Y.”
Source: I head a Product organization at a mega media org.
- First aid for infants course: self explanatory.
- "Baby Bargains" book: does a fairly good job at creating a list of important data points to consider when purchasing a class of of baby products (strollers, car seats, etc.). You can then use it to optimize your purchase to your needs (price point and features).
- Babycenter website had a nice weekly email you could sign up for that describes the various milestones you could expect for your child.
This is an area I am actively looking into at the moment for my employer. It's an interesting project, and I am excited to see work in this domain. Note that this will not pass QC at any broadcaster/OTT. Our tolerance is typically within 1-12 frames (and a bunch of other requirements around shot changes, etc.)
I was part of an implementation team for an EHR at a very large ambulatory unit (i.e., private practices of one of the largest hospitals in the US). Complaints for EHR by medical staff were as follows: 1) "I am spending time looking at the computer instead of making eye contact with the patient. Therefore, patient experience deteriorates." 2) "Pen and paper are much faster inputs than having to click around tabs and typing values" (especially for older doctors). This slows them down, which means they can see less patients (direct impact on revenue). 3) While there were government incentives to encourage practices to implement EHRs, doctors from more lucrative specialties (who are not involved in research) did not see value in having the data computerized. Imagine an ophthalmologist who can perform another Lasek procedure instead of record a patient's drinking status, and other things that may not affect the procedure.