Once upon a time, meeting a partner online was not seen as conducive to a happily ever after.
In fact, it was seen as a forbidden forest. However, in the modern age of time poor, stressed-out professionals, Love match machine someone online is not only seen as essential, it can also be considered to be the more scientific way to go about the happy ending.
For years, eHarmony has been using human psychology and relationship research to recommend mates for singles looking for a meaningful Love match machine. Now, the data-driven technology company is expanding upon its data analytics and computer science roots as it embraces modern big data, machine learning and cloud computing technologies to offer millions of users even better matches.
The company now runs 20 affinity models in its efforts to improve matches, capturing data on things like photo features, user preferences, site usage and profile content. The company is also using ML in its distribution, to solve a flow problem through a CS2 distribution algorithm to increase match satisfaction across the user base.
As an example, Jain said his team looks at days since a last login to find out how engaged a user is Love match machine the process of finding someone, how many profiles they have checked out, and if they regularly message someone first, or wait to be messaged.
Are you logging in three times a day and constantly checking, and are therefore a user with high intent? If so, we want to match you with someone who has a similar high intent," he explained.
Are you liking a similar kind of person? Are you checking out profiles that are rich in content, so I know you are a detail-oriented person?
If so, then we need to give you more profiles like that. Jain said because eHarmony has been operating for 17 years, the company has a wealth of knowledge it can now draw on from legacy systems, and some 20 billion matches that can be analysed, in order to create a Love match machine user experience.
Moving to ML was a natural progression for a company that was already data analytics heavy. If they were successful, what made them successful?
With the skillsets to implement ML in a small way, Love match machine eHarmony team initially started small. As it started seeing the benefits, the business invested more in it. Machine learning now assists in the entire eHarmony process, even down to helping users build better profiles.
The cloud-fueled shift now under way.
Whether communications happen is directly correlated to the quality of the profiles, and one the biggest ways to enhance profiles are the numbers of photos within these profiles. We have volumes of data, but the business is constrained by how quickly we can process this Love match machine and put it to use.
As we embrace cloud computing technology where we can massively scale out and process this data, it will enable us to build more data-driven features that can improve the end user experience. Follow CMO on Twitter: Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, Love match machine much more.
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Absolutely agree with this Facebook doesn't care what adds they show. Data-driven marketing solutions are the way forward to inspire customer engagement. Data should be given a long leash when it comes ident In this bonus last episode of this new podcast series, BrandHook MD, Pip Stocks, talks with former ANZ Love match machine general manager of marketing, Louise Eyres, talks about the importance of thinking like a customer and using intuition to solve customer painpoints.
The technology is helping eHarmony deliver new matches to millions of people every day, and the new cloud environment accommodates more complex analyses to create Love match machine personalized results and improve the chances of relationship success. Sign in with LinkedIn Sign in with Facebook.
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