{"id":8485,"date":"2019-02-14T11:42:19","date_gmt":"2019-02-14T18:42:19","guid":{"rendered":"https:\/\/myuctv.tv\/?p=8485"},"modified":"2019-02-14T11:42:19","modified_gmt":"2019-02-14T18:42:19","slug":"recommended-for-you","status":"publish","type":"post","link":"https:\/\/www.myuctv.tv\/blog\/science\/recommended-for-you\/","title":{"rendered":"Recommended for You"},"content":{"rendered":"<p><a href=\"https:\/\/www.uctv.tv\/shows\/33714\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" src=\"https:\/\/www.uctv.tv\/images\/rokupicts\/33714.jpg\" alt=\"\" width=\"300\" height=\"168\" class=\"alignright\" \/><\/a>We use recommender system all the time. A website will recommend something to you based on what you&#8217;ve watched, listened to, bought or who you&#8217;ve friended on Facebook. These systems attempt to predict your preferences based on past interactions. <\/p>\n<p>The systems range from simple statistical approaches like Amazon&#8217;s people who bought X also bought Y links, to complex Artificial Intelligence-based approaches that drive feed ranking on sites like Facebook.<\/p>\n<p>Julian McAuley, UC San Diego Computer Science and Engineering, explores the modeling techniques behind personalized recommendation technology on the web and the different systems that we encounter. <\/p>\n<p>He reminds us that we often find these recommendations a bit &#8220;creepy,&#8221; but that actually the recommender system has no human intelligence; it&#8217;s really a simple statistical process. They focus on short-term predictions but could they be adapted to make long-term predictions or estimate more subjective qualities? Would that be bad?<\/p>\n<p><a href=\"https:\/\/www.uctv.tv\/shows\/33714\" target=\"_blank\" rel=\"noopener noreferrer\">Watch How Do Websites Personalize Recommendations for Me? &#8211; Exploring Ethics<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We use recommender system all the time. A website will recommend something to you based on what you&#8217;ve watched, listened to, bought or who you&#8217;ve friended on Facebook. These systems attempt to predict your preferences based on past interactions. The systems range from simple statistical approaches like Amazon&#8217;s people who bought X also bought Y [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[585,871,911,30,28,88],"tags":[868,776,968,969],"_links":{"self":[{"href":"https:\/\/www.myuctv.tv\/blog\/wp-json\/wp\/v2\/posts\/8485"}],"collection":[{"href":"https:\/\/www.myuctv.tv\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.myuctv.tv\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.myuctv.tv\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.myuctv.tv\/blog\/wp-json\/wp\/v2\/comments?post=8485"}],"version-history":[{"count":0,"href":"https:\/\/www.myuctv.tv\/blog\/wp-json\/wp\/v2\/posts\/8485\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.myuctv.tv\/blog\/wp-json\/wp\/v2\/media?parent=8485"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.myuctv.tv\/blog\/wp-json\/wp\/v2\/categories?post=8485"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.myuctv.tv\/blog\/wp-json\/wp\/v2\/tags?post=8485"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}