Sentences with phrase «as a matching algorithm»

There is no searching on Chemistry as their matching algorithm takes care of this process by matching you with the best candidates for long - term relationships.

So there is also flexibility here, as well as a matching algorithm which you can use via a «chemistry test».

Although you would only have access to jobs listed on LinkedIN job platform only, I find it to be pretty good as the matching algorithm is extremely accurate.

Not exact matches

This essentially means using an algorithm to scramble a piece of data, such as a name, in a way that means no one can unscramble it — but if another piece of data is run through the same algorithm and you end up with the same garbled code, then the two pieces of original data must match.

Apart from skills and experience, the algorithm will attempt to match job - seekers and employers based on such variables as personality - as on the eHarmony site - as well as work and social and cultural values.

Hometeam, which operates across New York, New Jersey, and Pennsylvania, has a proprietary algorithm that matches aides with patients, considering factors such as the language spoken, personal hobbies, and the skill set required to tend to specific medical conditions.

Other search engines continue to have a difficult time matching the relevancy algorithm Google has created by examining a number of factors such as social media, inbound links, fresh content, etc..

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

Peer - to - peer lending also known as person - to - person, P2P or social lending, anonymously matches up borrowers and lenders via an online platform using complex computer algorithms.

Graf joined Uber in late 2015 as head of marketplace dynamics, managing the algorithms that matched drivers with riders and set prices.

Bitcoin exchanges typically have multiple components to their service offerings such as buying, selling, trading (user - to - user), specialized computer algorithms to match together buyers and sellers, order books, fast deposits and withdrawals, multiple currencies, compliance with Know Your Customer (KYC) and Anti-Money Laundering (AML) laws, a focus on user security and Bitcoin security, Two - Factor Authentication (2FA), proof of solvency, integrated wallets to store bitcoin, and so on.

As I have noted numerous times in the past, the search engine «broad matching» algorithms have gotten increasingly better at aggregating tail keywords into the same auctions with head terms.

The algorithm uses player stats from matches in each club's domestic league as well as the UEFA Europa League, and delivers updates after these games are played.

One such quantum algorithm, called Grover's search, speeds up searches, such as scanning fingerprint databases for a match.

Algorithms such as one developed by Marios Savvides's lab at Carnegie Mellon can analyse features of a front and side view set of mugshots, create a 3D model of the face, rotate it as much as 70 degrees to match the angle of the face in the photo, and then match the new 2D image with a fairly high degree of accuracy.

Just as natural selection works on living populations to ensure that the organisms best adapted to their environment survive and reproduce, genetic algorithms winnow out the «unfit» solutions and refine the ones that best match performance requirements.

It is a bit like having an algorithm that, instead of searching a text for a particular word, matches every single word against the dictio nary of known words and flags the ones that sound as if they might belong to a foreign language.

Ever since eHarmony.com, the first algorithm - based matching site, launched in 2000, sites such as Chemistry.com, PerfectMatch.com, GenePartner.com, and FindYourFaceMate.com have claimed that they have developed a sophisticated matching algorithm that can find singles a uniquely compatible mate.

Here we arrive at the second major weakness of online dating: the available evidence suggests that the mathematical algorithms at matching sites are negligibly better than matching people at random (within basic demographic constraints, such as age, gender, and education).

This step involves answering questions that are used as part of a scientific matchmaking algorithm and it makes sense that a service focused on intelligence should employ a smart matching feature.

The beauty of dating websites is they have things like in - depth profiles, extensive search features, and advanced matching algorithms that help you sort through all of these people and allow you to be as specific or as broad about your needs as you want.

Or, as Stanford sociologist Michael Rosenfeld put it, «The algorithms for matching at dating sites are mostly smoke and mirrors.»

We like to lovingly think of this site as the math nerd of online dating — their algorithm delves deeper into what really matters to singles and delivers like - minded matches quickly and more accurately.

As such, it is unlikely that any matching algorithm that seeks to match two people based on information available before they are aware of each other can account for more than a very small proportion of the variance in long - term romantic outcomes, such as relationship satisfaction and stability.&raquAs such, it is unlikely that any matching algorithm that seeks to match two people based on information available before they are aware of each other can account for more than a very small proportion of the variance in long - term romantic outcomes, such as relationship satisfaction and stability.&raquas relationship satisfaction and stability.»

They continued to refine the online dating process by improving their matching algorithms and adding such features for communication as filtering your email by attributes of the senders profile, and VIP mail.

He sees Tinder as more of a lightweight hook - up experience and OkCupid as an algorithm - matching experience which might not match you with someone outside your type.

As far as we know there have been no plans to update eHarmony's matching algorithm to take into account the differences in a gay relationship for Compatible PartnerAs far as we know there have been no plans to update eHarmony's matching algorithm to take into account the differences in a gay relationship for Compatible Partneras we know there have been no plans to update eHarmony's matching algorithm to take into account the differences in a gay relationship for Compatible Partners.

Working with the Oxford University researchers, eHarmony was able to identify the key differences in matching between the UK and US, and as a result, create new versions of their algorithms for British singles.

Some online dating sites, such as eHarmony, use match - making algorithms, in which users complete a battery of personality measures and are then matched with «compatible» mates.

Computer algorithms have the herculean task of returning a perfect match from its database based on our own vaguely truthful submissions, and such copper - bottomed compatibility guarantees as whether both parties are fond of cats.

Match.com has its own matchmaking algorithm to connect you with compatible people based on your personality profile, your match criteria, and your on - site activities such as who you search for, or who you've indicated you like.

What do you think is the future of sites that use that as the foundation of their matching algorithm?

As if any of these sites has a clue about how to take this information and turn it into fuel for a matching algorithm that works better than throwing darts at a dartboard.

The algorithm matches you with users that fit your settings, as well as your personality.

Search for your ideal match: Find your partner using innumerable filters as part of the basic and advanced search algorithms.

Mr. Finkel worked for more than a year with a group of researchers trying to understand how these algorithm - based dating services could match people, as they claim to do.

Some have questioned the ethics of this algorithm, as what Tinder seems to be doing is matching attractive people with other attractive people, average people with other average people, and so on.

As Sam Yagan of OKCupid told me once (paraphrasing), a good matching algorithm isn't only about making great matches, its also about hiding the people from you that you don't want to see on the site.

Or, as Stanford sociologist Michael Rosenfeld put it, «The algorithms for matching at dating websites are mostly smoke and mirrors.»

Mate1.com is a popular dating site that encourages intimate conversations by basing their matching algorithm on lifestyle elements such as your favorite book, and anything else that matters to you, resulting in having a high volume of interaction through chat and email.

Plus, its Behavioral Matchmaking algorithm keeps track of how you use the app (such as which members you pass on and what you put in your profile) and delivers SmartPick ™ matches to your inbox every day.

As you go about using the site (browsing profiles, sending «Winks,» flirting with matches, etc.), Zoosk will keep track of what you like and don't like through their Behavioral Matchmaking ™ algorithm.

This latest research looks down upon the scientific matching and algorithms that many sites such as eHarmony have successfully woven into their profile sign up and matching process.

Once you find a combination of search items which best match what you are looking for, then you can save the search and use it as your very own personal algorithm.

When a reader dissed using social exhaust as a matching fodder, I asked «Figuring out personality type and other factors based on social exhaust is nothing new and there is no reason to think this is valuable data to feed into matching algorithms?

As a member of OkCupid, you will receive recommended matches based on your personal online dating profile.This online dating website employs a mathematical algorithm based on your questionnaire to tell you what percentage of members match with you in compatibility.

Mind you on any dating site, as in life (I have friends who have practiced online dating for years, have spent a mint, have been matched by physiological profiles, computer algorithms & plain ole physical attraction but have still come up short) so finding the ONE may take time, patience, and a lot of focusing on YOU and your own beliefs about what you deserve (email me personally & we can talk more in depth about this if you'd like), but I believe any and all things are possible, including your finding your prince, online or around the corner.

OKCupid has an advanced algorithm: by ranking your matches based on your choices and preferences as well as what you care about, this sensational dating app saves you time and gives you precisely what you want.

The whole concept of the site revolves around what are known as «contact proposals», whereby an algorithm picks out those profiles that best match your own criteria, before the site sends you a message with information about that member.

As you go about flirting, messaging, liking or disliking, and generally interacting with people, Zoosk's algorithm will study that on - site behavior and recommend SmartPick ™ matches who you're more likely to click with.