Dating site data analysis


Multiple data sources enable richer dating profiles

What can we understand about human behaviour from dating website data?

What exactly it is that we find attractive about another person is often unknown to us. Many girls say they like bad boys. Which is why I shoplift so openly.

Data Scientist From Tinder Gives Dating Advice

That, and all the free Kinder Eggs. Data scientists are currently working hard to establish exactly what it is though.

The data science of love: how dating sites use big data

Dating sites claim to be able to find you the perfect match using data science. With hundreds of millions of users, they are awash with information about people, and in order to work effectively they use some powerful predictive analytics algorithms to leverage this. Many, such as Match. They then match people based on this.

Big Data Analytics for Online Dating Services – Big Data E-Book

The data gathered from dating platforms is also notoriously unreliable. People often exaggerate their personal attributes on profiles so the data lacks accuracy.

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Data Mining Reveals the Surprising Behavior of Users of Dating Websites

Notify me of new posts via email. Your email address will never be published. What is Business Analytics? Business Analytics is the intersection of business and technology, offering new opportunities for a competitive advantage. Business analytics unlocks the predictive potential of data analysis to improve financial performance, strategic management, and operational efficiency. BI is the "computer-based techniques used in spotting, digging-out, and analyzing 'hard' business data, such as sales revenue by products or departments or associated costs and incomes.

I asked Tinder for my data. It sent me 800 pages of my deepest, darkest secrets

Objectives of BI implementations include 1 understanding of a firm's internal and external strengths and weaknesses, 2 understanding of the relationship between different data for better decision making, 3 detection of opportunities for innovation, and 4 cost reduction and optimal deployment of resources. Most widely used BI tool is Microsoft Excel. Big data refer to data scenarios that grow so large petabytes and more that they become awkward to work with using traditional database management tools. Big data is spawning new tools that are mix of significant processing power, parallelism and statistical, machine learning, or pattern recognition techniques Corporate performance management software and performance management concepts, such as the balanced scorecard, enable organizations to measure business results and track their progress against business goals in order to improve financial performance.

All that data, ripe for the picking

Data visualization tools, include mashups, executive dashboards, performance scorecards and other data visualization technology, is becoming a major category. BI platforms provide a range of capabilities for building analytical applications.


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  • Love, Sex and Predictive Analytics: Tinder, Match.com, and OkCupid!

There are many choices and combinations of BI platforms, capabilities and use cases as well as many emerging BI technologies such as in memory analytics, interactive visualization and BI integrated search. Increasingly, standardization and more about managing a portfolio of tools used for a set of capabilities and use cases. Extract-Transfer-Load ETL tools make up a big segment of this category in addition to data mapping tools.

Organizations must now support a range of delivery styles, latencies, and formats.

see Enter your email address to subscribe to this blog and receive notifications of new posts by email. May 29, 2. Love, Sex and Predictive Analytics: OkCupid — This dating service provides a slew of questions to mathematically match you up with a compatible date. Both allow you search the social network of nearby singles looking to connect. Casual flings but leverages the mobile location data.

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