{"id":10230,"date":"2021-04-03T10:57:08","date_gmt":"2021-04-03T05:27:08","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=10230"},"modified":"2021-06-23T13:42:15","modified_gmt":"2021-06-23T08:12:15","slug":"data-spotlight-spotify-wrapped-music-data","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/data-spotlight-spotify-wrapped-music-data\/","title":{"rendered":"Data Spotlight: Spotify Wrapped Music Data"},"content":{"rendered":"<div>\n<p class=\"ace-copy-paste-skip-this-tag\">\n<p><a href=\"https:\/\/ivyproschool.com\/blog\/data-spotlight-spotify-wrapped-music-data\/\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-10251\" src=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Blog-Post-30-02-2021-300x157.png\" alt=\"Data Spotlight\" width=\"852\" height=\"446\" srcset=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Blog-Post-30-02-2021-300x157.png 300w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Blog-Post-30-02-2021-1080x565.png 1080w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Blog-Post-30-02-2021-150x79.png 150w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Blog-Post-30-02-2021-768x402.png 768w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/Blog-Post-30-02-2021.png 1200w\" sizes=\"auto, (max-width: 852px) 100vw, 852px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<h4>The listeners of Spotify are familiar with the annual hum known as<\/h4>\n<p><span class=\"attrlink url author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><a class=\"attrlink\" href=\"https:\/\/www.spotify.com\/us\/wrapped\/\" target=\"_blank\" rel=\"no-referrer Nofollow no opener noopener noreferrer\" data-target-href=\"https:\/\/www.spotify.com\/us\/wrapped\/\">Spotify Wrapped<\/a> but not with the science used for music data<\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">. At the end of every year, Spotify provides music dat to its users with a summary of not only their music history, top artists, and favourite genres, but also the total minutes of music, and more. In addition to that, they provide it all wrapped up in a very beautiful, colourful display. What excites us is to know that all of this is done by using big data.\u00a0<\/span><\/p>\n<\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">In this blog, we aim to help you understand the working procedure of Spotify Wrapped and the reason for its effectiveness. Spotify is the biggest example of someone that leads in creating an emotional connection with its consumers by using data especially music data.<\/span><\/div>\n<div>\n<h2 data-usually-unique-id=\"537182140204004946202629\"><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">How Spotify is using data to narrate the story?<\/span><\/h2>\n<\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">There is no way that Spotify Wrapped involves the use of basic analytics. When the year-end arrives, users get a report. This report, mentions that those users are in the top 1% of a band\u2019s most loyal followers. In addition to that, they mention if they are among the bold, non-mainstream listeners. However, the presentation of the data is something that excites people. It makes them feel like it&#8217;s a personality test. In simpler words, Spotify provides its music data back to its users. Spotify users love this feature. For them, it could be like sharing the songs that they like or it could be that Spotify acknowledges favourite artists. That is the kind of emotional validation that makes users feel personable. Not only is their music data neatly packaged, but also is very well presented. <\/span><span class=\"attrlink url author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><a class=\"attrlink\" href=\"https:\/\/www.theatlantic.com\/technology\/archive\/2018\/12\/spotify-wrapped-and-data-collection\/577930\/\" target=\"_blank\" rel=\"noreferrer nofollow noopener\" data-target-href=\"https:\/\/www.theatlantic.com\/technology\/archive\/2018\/12\/spotify-wrapped-and-data-collection\/577930\/\">Haley Weiss mentions in The Atlantic<\/a><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">,<\/span> <span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs h-ldquo\">\u201c<em>seeing<\/em><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><em> top songs on Spotify Wrapped is like seeing an old best friend that you lost touch with<\/em>\u201d. This is how Spotify attaches its users to itself. The listening platform of Spotify is designed to include built-in ego-boosters for its listeners.<\/span><\/div>\n<div><\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">Behind making Spotify Wrapped as one of its, important marketing models, Spotify has geared up for such kind of organic engagement. The Spotify listeners take screenshots and put them on social media platforms of their profile. In addition to that, they share the links to their playlists, that show their friends and families the kind of music they have been listening to. This way, Spotify becomes self-marketable as users organically publicize their engagement, using music for the biggest social experience.<\/span><\/div>\n<div>\n<h2 data-usually-unique-id=\"832830225779184401342600\"><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">How does Spotify Wrapped perform?<\/span><\/h2>\n<\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">Generally, Spotify relies on three recommendation models:<\/span><\/div>\n<ul class=\"listtype-bullet listindent1 list-bullet1\">\n<li><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><b>Filtering Collaboration: <\/b><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">This uses information about other listeners which contributes to the algorithm\u2019s understanding of the users&#8217; listening habits. The users who have similar habits are more likely to have similar taste profiles. Spotify then analyzes the duration of the music to map out where the trends of listening fall.<\/span><\/li>\n<li><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><b>Natural Language Processing<\/b><\/span><b> <\/b><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs h-lparen\"><b>(NLP)<\/b><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><b>: <\/b><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">This technique allows Spotify engineers to turn playlists into text documents. Hence they can use it to identify and analyze relationships between lyrical patterns. NLP is also useful for navigating music without lyrics. This is because it goes across genres and brings users new alternatives to what they\u2019re used to.<\/span><\/li>\n<li><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><b>Audio model Feature: <\/b>These are key to Spotify\u2019s ability. This feature matches the listeners with newly released music based on their past listening trends and preferences. For instance, Spotify uses audio models and neural networks to<\/span> <span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs h-ldquo\">\u201cprocess<\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"> raw audio to produce a range of characteristics, including key, tempo, and even loudness.\u201d This feature is vital for emerging artists on their way to being discovered given all the music data available.<\/span><\/li>\n<\/ul>\n<div>\n<h2 data-usually-unique-id=\"545414533022808944855327\"><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">The biggest wonder that design and data could do together<\/span><\/h2>\n<\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">Creating insights is always more intuitive than just the raw data. If Spotify would have just shown a list of songs, the users would not have been more interested. Hence, that would have been a roadblock in the original motive of the people in Spotify\u2014to enhance their marketing.\u00a0<\/span><\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">\u00a0<\/span><\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">Making insights not just useful but also attractive. It is one of the finest work of <\/span><span class=\"attrlink url author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><a class=\"attrlink\" href=\"https:\/\/ivyproschool.com\/blog\/data-science-and-design-thinking\/\" target=\"_blank\" rel=\"noreferrer nofollow noopener\" data-target-href=\"https:\/\/ivyproschool.com\/blog\/data-science-and-design-thinking\/\">data and design together<\/a><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">. \u00a0Spotify Wrapped is a brilliant example of how powerful UX design can create intrigue engage users.\u00a0<\/span><\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">\u00a0<\/span><\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">The UX design is the only thing behind creating this special connection. There are a number of reasons why it works:<\/span><\/div>\n<ul class=\"listtype-bullet listindent1 list-bullet1\">\n<li><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><b>Interactive Visuals:<\/b><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"> The visuals used in the report are attractive because Spotify Wrapped uses specific palettes according to color psychology to get positive reactions. Bright, neon colors trigger personal happiness and excitement, however, here Spotify modifies them into uncommon hues. It naturally grabs attention when shared on social media.\u00a0<\/span><\/li>\n<li><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><b>Simplified sharing on social media:<\/b><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"> Spotify Wrapped loves when its users share their content on social media. Hence, it creates organic marketing for not only the music but for the platform itself.<\/span><\/li>\n<li><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><b>Beautiful presentation: <\/b><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">When engaging with the report, users will notice that pictures move alongside the mouse or smoothly glide across the screen. It\u2019s easy to navigate and extremely fluid, and there\u2019s even a degree of customization a user can do before sharing it, like changing the background or font colors for ideal personal branding. This allows users to spend more time and gradually develop a sense of liking for the product.\u00a0<\/span><\/li>\n<\/ul>\n<div>\n<h2 data-usually-unique-id=\"832996217358491057308856\"><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">Making content sharable<\/span><\/h2>\n<\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">The whole point is about making the content sharable. That\u2019s when it gains audiences and attracts eyeballs. As a result that resulted in the success of Spotify Wrapped. Humans like it when something comes to them in an insightful and interactive manner. Giving us a taste of our own music backed with data brings the thrill of discovering something new about ourselves. Such a type of self-quantification has become more popular recently. Not only is it a matter of creating joy or discovery but also about improving the personal experience.\u00a0<\/span><\/div>\n<div>\n<h2 data-usually-unique-id=\"553492570860639751180298\"><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">Data Science involved in Spotify<\/span><\/h2>\n<\/div>\n<div><span class=\"attrlink url author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><a class=\"attrlink\" href=\"https:\/\/www.epicpeople.org\/cross-disciplinary-insights-teams-integrating-data-scientists-and-user-researchers-at-spotify\/\" target=\"_blank\" rel=\"noreferrer nofollow noopener\" data-target-href=\"https:\/\/www.epicpeople.org\/cross-disciplinary-insights-teams-integrating-data-scientists-and-user-researchers-at-spotify\/\">Spotify\u2019s head of creator product insights, Sara Belt<\/a><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"> describes Spotify\u2019s data science methods to be a cross-disciplinary approach. Spotify turns to data science strategies not only to understand their user\u2019s music data but also their users. Spotify has a brilliant product insights team, which is basically a combination of its user research and data science teams. This helps to enhance the research methods to<\/span> <span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs h-ldquo\">\u201cdrive<\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"> evidence-based decision making\u201d. For both consumer data and the success of the brand, one needs to focus on cultural literacy as well. Then the brand gains a comprehensive understanding of their market.\u00a0<\/span><\/div>\n<div>\n<h2 data-usually-unique-id=\"815330473495101099044672\"><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">Spotify\u2019s<\/span> <span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs h-lsquo\">\u2018ANNOY\u2019<\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"> Music Data Library<\/span><\/h2>\n<\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">Much contradicting the literal meaning of Annoy, one of the most amazing ways Spotify uses data is by creating a library that accurately predicts the preferences of the listeners\u2019. However, these recommendations are not just something out of the blue. Spotify created a library called ANNOY. <\/span><span class=\"attrlink url author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><a class=\"attrlink\" href=\"https:\/\/github.com\/spotify\/annoy#:~:text=Annoy%20(Approximate%20Nearest%20Neighbors%20Oh,may%20share%20the%20same%20data.\" target=\"_blank\" rel=\"noreferrer nofollow noopener\" data-target-href=\"https:\/\/github.com\/spotify\/annoy#:~:text=Annoy%20(Approximate%20Nearest%20Neighbors%20Oh,may%20share%20the%20same%20data.\">Github explains<\/a><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"> ANNOY as:<\/span> <span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs h-ldquo\"><i>\u201cANNOY<\/i><\/span><i> <\/i><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs h-lparen\"><i>(Approximate<\/i><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><i> Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that use <\/i><\/span><span class=\"attrlink url author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><a class=\"attrlink\" href=\"https:\/\/en.wikipedia.org\/wiki\/Mmap\" target=\"_blank\" rel=\"noreferrer nofollow noopener\" data-target-href=\"https:\/\/en.wikipedia.org\/wiki\/Mmap\"><i>mmap<\/i><\/a><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><i> into memory. Hence, many processes may share the same data.\u201d<\/i><\/span><\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">In simpler words,<\/span><span class=\"attrlink url author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\"><a class=\"attrlink\" href=\"https:\/\/markroxor.github.io\/gensim\/static\/notebooks\/annoytutorial.html\" target=\"_blank\" rel=\"noreferrer nofollow noopener\" data-target-href=\"https:\/\/markroxor.github.io\/gensim\/static\/notebooks\/annoytutorial.html\"> Annoy <\/a><\/span><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">searches for points that are close to a particular query point. In Spotify\u2019s case, the users\u2019 songs recommendation is based on their listening preferences and patterns. Annoy also can allow multiple processes to share the same data. This is done by creating large, read-only file-based data structures that are mmapped into memory.\u00a0<\/span><\/div>\n<div><\/div>\n<div><span class=\" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qoxvz85zpz122ztq66rz79zz77zz67zmbz71zz74zyyz79zz79zqez89zy2z77ziz68zmz85zs\">Spotify, made the library open-sourced, allowing millions of data scientists and developers access to use the technology. By making their data available publicly, Spotify joins a growing list of companies who attempt to use the data to drive positive change and create a better environment for aspiring data scientists. \u00a0<\/span><\/div>\n<div><\/div>\n<div><span style=\"font-weight: 400;\">Ivy Professional School <a href=\"https:\/\/analyticsindiamag.com\/aim-data-science-education-ranking-2020-top-online-courses-in-india\/\">ranks<\/a> among the top <a href=\"https:\/\/ivyproschool.com\/our-courses\/big-data-and-analytics\/data-science-advanced-tableau-certification-course\/\" rel=\"noopener noreferrer\" target=\"_blank\">data science <\/a>and analytics <a href=\"https:\/\/ivyproschool.com\/our-courses\/big-data-and-analytics\/data-science-machine-learning-artificial-intelligence-deep-learning-certification-course\/\">course<\/a> institutes since 2008, has always been an organization that has focused on the betterment of its students. With the help of faculties who are industry experts having 10+ years of industry experience, it aims to provide specific learning experiences that all the large organizations are looking for in their prospective<a href=\"https:\/\/ivyproschool.com\/data-science-ml-ai-no-upfront-fee\/\" rel=\"noopener noreferrer\" target=\"_blank\"> data science<\/a>\/analytics candidates. These instructors not only provide technical knowledge but also provide a great deal of understanding from their experience in various industries. Come shape your career in data science with Ivy Professional School.<\/span><\/div>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; The listeners of Spotify are familiar with the annual hum known as Spotify Wrapped but not with the science used for music data. At the end of every year, Spotify provides music dat to its users with a summary of not only their music history, top artists, and favourite genres, but also the total minutes of music, and more. In addition to that, they provide it all wrapped up in a very beautiful, colourful display. What excites us is to know that all of this is done by using big data.\u00a0 In this blog, we aim to help you understand the working procedure of Spotify Wrapped and the reason for its effectiveness. Spotify is the biggest example of someone that leads in creating an emotional connection with its consumers by using data especially music data. How Spotify is using data to narrate the story? There is no way that Spotify Wrapped involves the use of basic analytics. When the year-end arrives, users get a report. This report, mentions that those users are in the top 1% of a band\u2019s most loyal followers. In addition to that, they mention if they are among the bold, non-mainstream listeners. However, the presentation [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":10639,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[851,5,881,552,551],"tags":[22,43,467,253,511,110,132],"class_list":["post-10230","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-analytics","category-data-analytics","category-data-science","category-technology","category-tools-softwares","tag-analytics","tag-big-data","tag-data-science","tag-ivy-blog","tag-ivy-professional-school","tag-ivyproschool","tag-spotlight"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Spotlight | Spotify Wrapped Music Data | Official Blog | Ivy Pro School<\/title>\n<meta name=\"description\" content=\"Spotify is the biggest example of someone that leads in creating an emotional connection with its consumers by using data especially music data. Read More.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ivyproschool.com\/blog\/data-spotlight-spotify-wrapped-music-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Spotlight | Spotify Wrapped Music Data | Official Blog | Ivy Pro School\" \/>\n<meta property=\"og:description\" content=\"Spotify is the biggest example of someone that leads in creating an emotional connection with its consumers by using data especially music data. 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