Something Borrowed (film) - Wikipedia
great potential for online dating where they could improve the value of memory. Typical example of a memory based algorithm is user-user k-nearest neighbor. Original Theatrical Date: May 6, Rachel (Ginnifer Goodwin) is a talented attorney at a top New York law firm, a generous and loyal friend and, unhappily. Is it possible for a computer to know what makes us fall in love? Online dating websites are in pursuit of the perfect algorithm.
Rachel lies to Darcy that she is having sex with two other men, friend Ethan and acquaintance Marcus. Ethan, who has been friends with both Rachel and Darcy since childhood, reluctantly agrees to play along with Rachel's lies. Dex's mother suffers from depression and it seems that Dex and Darcy's upcoming wedding is the only thing keeping her happy. Months after they started having sex behind Darcy's back, they skip out on Darcy's 4 July weekend in the Hamptons to stay in the city.
The two run into his parents, and Dex's father later tells Dex to end it as soon as possible, saying that what he wants should not be considered a priority when it conflicts with what is right. As the wedding nears, Dex and Rachel are speaking less and less. At the beach, their secret is almost revealed by Ethan, who is frustrated with Rachel for lying to people she cares about.
That night at the bar, Rachel finally tells Dex that she wants him to call off the wedding so they can be together, but he tells her that he can't.
After Ethan moves to London for a job, Rachel goes to visit him. He reveals that he loves her but accepts that Rachel does not reciprocate his feelings. Rachel returns to New York to find Dex sitting on her doorstep.
He reveals that he called off the wedding. Rachel is ecstatic until Darcy arrives to talk.
Dex quickly hides and overhears as Darcy reveals that she has been cheating with Marcus, as she has been feeling lonely due to Dex's continued absences not knowing that he was absent in order to have sex with Rachel.
It has taken a while to get there. It believed it could do this thanks to the research of its founder, Neil Clark Warren, a then old psychologist and divinity lecturer from rural Iowa. His three years of research on 5, married couples laid the basis for a truly algorithmic approach to matching: Whatever you may think of eHarmony's approach — and many contest whether it is scientifically possible to generalise from married people's experiences to the behaviour of single people — they are very serious about it.
Since launch, they have surveyed another 50, couples worldwide, according to the current vice-president of matching, Steve Carter. When they launched in the UK, they partnered with Oxford University to research 1, British couples "to identify any cultural distinctions between the two markets that should be represented by the compatibility algorithms".
And when challenged by lawsuits for refusing to match gay and lesbian people, assumed by many to be a result of Warren's conservative Christian views his books were previously published in partnership with the conservative pressure group, Focus on the Familythey protested that it wasn't morality, but mathematics: As part of a settlement in one such lawsuit, eHarmony launched Compatible Partners in These services rely on the user supplying not only explicit information about what they are looking for, but a host of assumed and implicit information as well, based on their morals, values, and actions.
What underlies them is a growing reliance not on stated preferences — for example, eHarmony's question surveys result in a detailed profile entitled "The Book of You" — but on actual behaviour; not what people say, but what they do. Despite competition from teams composed of researchers from telecoms giants and top maths departments, Potter was consistently in the top 10 of the leaderboard. A retired management consultant with a degree in psychology, Potter believed he could predict more about viewers' tastes from past behaviour than from the contents of the movies they liked, and his maths worked.
He was contacted by Nick Tsinonis, the founder of a small UK dating site called yesnomayb, who asked him to see if his approach, called collaborative filtering, would work on people as well as films. Collaborative filtering works by collecting the preferences of many people, and grouping them into sets of similar users. Because there's so much data, and so many people, what exactly the thing is that these groups might have in common isn't always clear to anyone but the algorithm, but it works.
The approach was so successful that Tsinonis and Potter created a new company, RecSyswhich now supplies some 10 million recommendations a day to thousands of sites. RecSys adjusts its algorithm for the different requirements of each site — what Potter calls the "business rules" — so for a site such as Lovestruck. Likewise, while British firm Global Personals provides the infrastructure for some 12, niche sites around the world, letting anyone set up and run their own dating website aimed at anyone from redheads to petrolheads, all 30 million of their users are being matched by RecSys.
Potter says that while they started with dating "the technology works for almost anything". RecSys is already powering the recommendations for art discovery site ArtFinder, the similar articles search on research database Nature. Of particular interest to the company is a recommendation system for mental health advice site Big White Wall. Because its users come to the site looking for emotional help, but may well be unsure what exactly it is they are looking for, RecSys might be able to unearth patterns of behaviour new to both patients and doctors, just as it reveals the unspoken and possibly even unconscious proclivities of daters.
Tinder is a new dating app on smartphones.
Facebook gets into dating, but there's little scientific evidence online personality matching works
Back in Harvard inJeff Tarr dreamed of a future version of his Operation Match programme which would operate in real time and real space. He envisioned installing hundreds of typewriters all over campus, each one linked to a central "mother computer". Anyone typing their requirements into such a device would receive "in seconds" the name of a compatible match who was also free that night.
Recently, Tarr's vision has started to become a reality with a new generation of dating services, driven by the smartphone. Suddenly, we don't need the smart algorithms any more, we just want to know who is nearby.
But even these new services sit atop a mountain of data; less like Facebook, and a lot more like Google. Tinder, founded in Los Angeles inis the fastest-growing dating app on mobile phones but its founders don't like calling it that.ALGO PRESTADO Trailer HD. Estreno 17 Junio
According to co-founder and chief marketing officer Justin Mateen, Tinder is "not an online dating app, it's a social network and discovery tool". He also believes that Tinder's core mechanic, where users swipe through Facebook snapshots of potential matches in the traditional "Hot or Not" format, is not simple, but more sophisticated: When asked what they have learned about people from the data they have gathered, Mateen says the thing he is most looking forward to seeing is "the number of matches that a user needs over a period of time before they're addicted to the product" — a precursor of Tinder's expansion into other areas of ecommerce and business relationships.
Tinder's plans are the logical extension of the fact that the web has really turned out to be a universal dating medium, whatever it says on the surface. There are plenty of sites out there deploying the tactics and metrics of dating sites without actually using the D-word. Whether it's explicit — such as Tastebuds.
Something Borrowed () - Release Info - IMDb
Nearly every Silicon Valley startup video features two photogenic young people being brought together, whatever the product, and the same matching algorithms are at work whether you're looking for love, a jobbing plumber, or a stock photograph. After gathering his data and optimising his profile, he started receiving unsolicited messages every day: He went on 87 dates, mostly just a coffee, which "were really wonderful for the most part".
The women he met shared his interests, were "really intelligent, creative, funny" and there was almost always some attraction. But on the 88th date, something deeper clicked. A year later, he proposed.
Online dating has always been in part about the allure and convenience of the technology, but it has mostly been about just wanting to find "the one".