Love, Sex and Predictive Analytics: Tinder, Match.com, and OkCupid
- Он заверил меня, что ТРАНСТЕКСТ в полной исправности. Беккер не знал, сколько времени пролежал, пока над ним вновь не возникли лампы дневного света.
Раздался выстрел, мелькнуло что-то красное.
A lot of innovation is taking place around real-time, geo-location based matching services. How to model and predict human attraction? But when it comes to matching people based on their potential love and mutual attraction, however, analytics get significantly more complex when you are attempting to predict mutual match… the person A is a potential match for person B…. So excluding certain variables or taking a multi-dimensional scoring approach with different weights would be appropriate.
Love and hookup are exploding with numerous companies that are attempting better matchmaking than Match. Login with Facebook and instantly begin flipping through profiles of nearby women or men. Tinder uses location services to find other users in a certain area. The company said that, on average, people log into the app 11 times a day.
Women spend as much as 8. All of this can add up to 90 minutes each day. Badoo subscribers sign up by posting a photo and basic personal details. Location-based technology lets them check in via smartphone to find users and see how many feet away they are at that moment. When two people mark each other as green, Badoo contacts both and suggests they initiate a chat.
Romance Graph for you? MongoDB at eHarmony — Slideshare. You are commenting using your WordPress. You are commenting using your Twitter account.
You are commenting using your Facebook account. Notify me of new comments via email. 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. 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.
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. 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. Enter your email address to subscribe to this blog and receive notifications of new posts by email.
May 29, 2015 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.
Tinder — Using Facebook to determine mutual friends, interests and location, Tinder will match with compatible users. The dater who values privacy. The selling angle is the ability to find a mate and higher odds of getting married. How do these hookup sites work? Some interesting analytical insights from dating sites data: Leave a Reply Cancel reply Enter your comment here... Fill in your details below or click an icon to log in: Email required Address never made public.
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. About Business Analytics 3. Post was not sent - check your email addresses!
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