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Foursquare will only provide notifications that are relevant to you personally. The application learns your behavior based on previous check-ins and recommendations. You won’t get notifications everywhere you go; rather, when you’re at a restaurant, Foursquare will crawl the tips and if there is one that fits your profile, you will be notified. Additionally, a new swipeable carousel of suggestions at the top of the application’s home page will show location-based suggestions, such as deals around the corner or something saved to your to-do list nearby. 

For now there are no ads in Nearby, but there sure are plenty of ways Facebook could add them. Most obviously, Facebook could let businesses pay for sponsored placement in results.

Facebook could also start pushing hyper-local ads into the standard news feed. If Facebook detects you’re within a half mile of a business it thinks is relevant to you, it could show you an ad linking to that place’s Nearby mobile Page.

Local discovery services only work if you have plenty of data. Foursquare still only has around 30 million users. Facebook’s location services have 250 million users a month. It might not have the long-tail of reviews or the advanced spam protection of Yelp, but it knows where your real friends go.

At Disrupt, CEO Mark Zuckerberg got investors salivating by talking about how Facebook is uniquely positioned to addresss questions you’d normally ask a search engine. He gave the example of wondering “What sushi restaurants have my friends gone to in New York in the last six months and Liked?” Nearby has the answer.

all of the trends we're kind of bored with now — social, local, mobile, big data — have laid the groundwork for the realization of anticipatory systems' promise.

Foursquare, for example, has been collecting years of data about where people are and what places they're interested in — not just their explicit check-ins, but their local searches, tips and likes. So far, that's allowed Foursquare to offer personalized recommendations. But now the company is taking the next step into anticipating users' needs, Foursquare's head of search, Andrew Hogue, told Fast Company. Hogue gave the example of giving users recommendations for lunch spots at 11 a.m., rather than requiring users to type "lunch" into a search.

calendars are a perpetual act of optimism, subject to real-time revision by factors we can manage — like self-discipline — and factors we can't, like traffic and transit delays.

HTML5 Takes Over The Mobile Web

Combined with CSS and JavaScript, HTML5 is what the Web will be built on in the future. And it will just be the Web, mobile or otherwise.

They throw into relief the larger questions of privacy policy we’re currently wrestling with as a culture: Too much disclosure of the social graph can lead to friends feeling that you’re tattling on them to a corporation. The interest graph can turn your passions into a marketing campaign. The behavior graph can allow people who wish you harm to know where you are and what you’re doing. And revealing the personal graph can make it feel like an outside entity is quite literally reading your mind.

companies are actively constructing these graphs already. These products and services are in the market today, but most in existence target only one or two of these graphs. Few are pursuing all four, both given the immaturity of the space and a lack of clear targets to shoot for. This has the unintentional effect of highlighting the risks of using such services, without demonstrating their benefits. For the potential of contextual computing to be realized, these data sets must be integrated.

In an ideal contextual computing state, this graph would be complete--so gentle nudges by software and services can bring together two people who are strangers but who could get along brilliantly and are in the same place at the same time. It could be two people who share a friend and who simultaneously move to Omaha, where neither person knows a soul.

It’s easy for data to depict what you actually do instead of what you claim to do. Sensors do the job. So do, if less elegantly, self-reporting mechanisms. This data can sit in pivotal contrast to the interest graph, allowing computers to know, perhaps better than you, how likely you are to go for a jog. It would be useful, too, for a travel site that notes how you tell friends you’d like to visit China but records that you only vacation in Europe. Rather than uselessly recommending vacation deals to Beijing, a smart travel app would instead feed you deals to Paris or Berlin. The behavior graph provides the foundation, to some extent, of Google Search, Netflix recommendations, Amazon recommendations, iTunes Genius, Nike+ run tracking, FourSquare, FitBit, and the entire "quantified self" movement. When mashed against the other three graphs, there’s a potential for real insight.

Within a decade, contextual computing will be the dominant paradigm in technology.

possibly in keeping with smartphone use actually not being as popular as PCs — Foursquare and other check-in services are not so hot, with only 12.2 percent using these.

McAfee describes teen usage on social networks as “stalking” rather than sharing: half of teens responding said they mostly observed others rather than posted updates about themselves. Only six percent said they shared “almost everything.” Nevertheless, they are huge social network users: 60 percent check their accounts daily, and 41 percent said they check accounts “constantly.”

The study found that 79 percent of teens said they hid their online behavior from their parents: partly to keep private what they’re actually doing online, and partly because they’re online for a lot longer than parents think. Popular activities include accessing violent content (43%); sexual topics/porn (36%; 32%); and watching pirated movies (30.7%). A whole 15% are hacking other people’s accounts. Meanwhile, teens spend about five hours a day online; while parents only think their kids spend an average of three hours a day online. McAfee found that just over 10 percent spend more than 10 hours per day online.

Teens hiding what they do from parents has gone up massively since 2010, when only 45 percent said they hid their behavior, and is a disconnect when compared to what parents think: half of parents responding to the study said they knew what their teen kids did online.

How about Twitter? It’s surprising to see the popular social media platform didn't make the top five.

59% of the respondents said they used Twitter, helping it score well in the area of intensity, which measures Brand Dependence amongst people who currently use a product or service. But Twitter didn’t fare as well in the prominence ratings, which take stock of how effortlessly and easily thoughts and feelings about a brand come to mind. Twitter also scored lower on more conventional brand measures such as likability, according to Vincent, and qualitative data revealed that people had a hard time relating to the brand because they didn’t fully understand how to use Twitter.

YouTube performed extremely well in the survey, with strong Brand Dependence scores in the areas of brand-self connection and prominence. Competitor Vimeo didn’t do so hot--in fact, only 16% of those surveyed had used the video-sharing destination.

Breaking it down by age without respect to gender, Instagram was the top social media outlet for those under 25, with Facebook coming in second and Pinterest third; Facebook, Instagram and Pinterest were the top three destinations for people 24-44; and those over 45 liked Facebook best, followed by Instagram and Foursquare.

Looking to the future, the social media brands that show the most potential in the eyes of survey respondents overall are Reddit, Tumblr, Snapchat and Vine. Vincent reports they all scored highly on various Brand Dependence measures, and he says their shared challenge going forward will be getting more people to sample what they have to offer.