{"id":19942,"date":"2017-03-28T15:07:41","date_gmt":"2017-03-28T19:07:41","guid":{"rendered":"http:\/\/therapytoronto.ca\/news\/?p=19942"},"modified":"2017-03-29T02:09:37","modified_gmt":"2017-03-29T06:09:37","slug":"an-algorithm-that-knows-when-youll-get-bored-with-your-favorite-mobile-game","status":"publish","type":"post","link":"https:\/\/therapytoronto.ca\/news\/2017\/03\/an-algorithm-that-knows-when-youll-get-bored-with-your-favorite-mobile-game\/","title":{"rendered":"An algorithm that knows when you&#8217;ll get bored with your favorite mobile game"},"content":{"rendered":"<p>From the\u00a0FECYT &#8211; Spanish Foundation for Science and Technology press release:<\/p>\n<blockquote>\n<p id=\"first\" class=\"lead\"><img loading=\"lazy\" class=\"alignright size-full wp-image-19909\" src=\"http:\/\/therapytoronto.ca\/news\/wp-content\/uploads\/2017\/03\/Computer.jpg\" alt=\"\" width=\"267\" height=\"200\" \/>The video game industry has been shaken up by the emergence of smartphone games, aimed at users who are constantly connected to the Internet and change games very frequently.<\/p>\n<div id=\"text\">\n<p>\u00c1frica Peri\u00e1\u00f1ez -Head of Game Data Science at the video game company Silicon Studio, in Tokyo- and her team have developed a <strong>mathematical model that predicts when a user will leave a specific mobile game<\/strong>. The results of their work were presented at the International Conference on Data Science and Advanced Analytics, held last October in Montreal (Canada).<\/p>\n<p>As Peri\u00e1\u00f1ez said, the algorithm they developed uses the so-called &#8216;ensemble&#8217; method, &#8220;a model that is based on many learning algorithms instead of a single one, thereby improving the prediction accuracy by examining many more correlations and alternative models.&#8221;<\/p>\n<p>&#8220;Every time we run the model, we are actually using 1,000 distinct submodels,&#8221; she adds, &#8220;each of which focuses on different variables and has different initial conditions.&#8221;<\/p>\n<p>The team also used a survival analysis algorithm within each submodel. These models &#8220;are used in medical research, for example, to predict when a patient will experience an event of interest, and in biology, to know how particular cells are going to behave in the body,&#8221; she explains.<\/p>\n<p><strong>Combination of mathematical models<\/strong><\/p>\n<p>The Silicon Studio researchers have now, for the first time, combined the power of survival algorithms and &#8216;ensemble&#8217; models in the field of video games. &#8220;This,&#8221; says Peri\u00e1\u00f1ez, &#8220;has enabled us to achieve a high level of prediction accuracy, as the algorithm automatically adapts to the data of the game we want to analyse.&#8221;<\/p>\n<p>Applied to videogames, the model (called a survival ensemble) can <strong>predict what day and at what stage of the game a user will stop playing, and why they will do so<\/strong>.<\/p>\n<p>&#8220;Already from their first days playing the game, we know with a good degree of certainty what level a user will reach and how many days it will take them. The main and most pressing priority is to try to extend the player&#8217;s &#8216;life&#8217; and get them to buy as much as possible. Also important is to understand users&#8217; needs and design a more entertaining and stimulating game,&#8221; says the researcher.<\/p>\n<p>The industry has undergone a paradigm shift since the appearance of games for smartphones. According to \u00c1frica Peri\u00e1\u00f1ez, &#8220;companies store a lot of information on users: their actions, connections, purchases, etc. And they are beginning to realise that they need to move towards a data-based development model, which allows them to know who their players are and what they like, and also to predict their reactions.&#8221;<\/p>\n<p>&#8220;Bigger companies are already taking steps in this direction, albeit slowly,&#8221; she explains, &#8220;but small and medium studios do not have as many resources. This is why we are offering our platform as a service, so that they can use it as a prediction tool.&#8221; The product was called 4Front as a code name and will be marketed under the trade name Yokozuna Data, inspired by the highest achievable rank in sumo wrestling.<\/p>\n<p><strong>Automatic adaptation to different games and data<\/strong><\/p>\n<p>The Silicon Studio platform adapts automatically to different games and data. &#8220;We are already working with Japanese and European firms, and have tested the product with several of our company&#8217;s games, such as Age of Ishtaria and GrandSphere,&#8221; notes Peri\u00e1\u00f1ez.<\/p>\n<p>According to the researcher, the system can predict who will leave the game very accurately. &#8220;Focusing on the players that spend the most money, known as &#8216;whales,&#8217; we have managed to reduce churn by 5% using personalised push notifications. This alone has led to an increase of about 15% in sales,&#8221; she points out, concluding that &#8220;our goal is to become leaders in the international market and to democratise data science in the field of video games, an area where we are pioneers.&#8221;<\/p>\n<\/div>\n<\/blockquote>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>From the\u00a0FECYT &#8211; Spanish Foundation for Science and Technology press release: The video game industry has been shaken up by the emergence of smartphone games, aimed at users who are&#8230; <a class=\"read-more-link\" href=\"https:\/\/therapytoronto.ca\/news\/2017\/03\/an-algorithm-that-knows-when-youll-get-bored-with-your-favorite-mobile-game\/\">Read more &raquo;<\/a><!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[339],"tags":[226,12,225,237],"_links":{"self":[{"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/posts\/19942"}],"collection":[{"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/comments?post=19942"}],"version-history":[{"count":2,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/posts\/19942\/revisions"}],"predecessor-version":[{"id":19988,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/posts\/19942\/revisions\/19988"}],"wp:attachment":[{"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/media?parent=19942"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/categories?post=19942"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/therapytoronto.ca\/news\/wp-json\/wp\/v2\/tags?post=19942"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}