The Improvement of TV show and film Recommendation through Artificial Intelligence and Machine Learning

我们观看电视和电影内容的方式正在发生变化。在空中，预定节目正在被Netflix、亚马逊、Sky、Now TV等提供商提供的高质量视频点播(VOD)服务所取代。由于这种从预定节目指南的转变，我们现在被期望知道我们想看什么，或者被呈现给一份由我们无法控制的因素驱动的VOD提供商列表。这种提供内容的新方法有两个主要障碍：1.如果我们知道我们想看什么，就很难知道哪家提供商(如果有的话)有可用的内容。我们必须登录并搜索，如果不可用(通常情况下)，则转到我们的下一个供应商。如果我们不知道我们想看什么，我们就会看到一大堆可用的内容，其中一些我们可能已经看过了，还有一些是无关的。这会导致观众普遍感到沮丧，朋友/家人会通过社交media.https://www.ericsson.com/en/networked-society/trends-and-insights/consumerlab/consumer-insights/reports/tv-and-media-2016，进行推荐据报道，更多的视频点播供应商即将出现(https://cstonline.net/why-cant-i-find-anything-to-watch-on-tv-by-john-ellis/With-Techradar.com/News和APPLE-[macworld.co.uk/News][0])这个问题只会变得更糟。我们的愿景是开发一款应用程序，其核心是一个人工智能推荐引擎，通过最少的用户交互将基于个人观看习惯向观众推荐相关内容。通过利用整个市场数据来源([TheMovieDB.org][1]，IMDB.com)作为中央数据库，映射到视频点播提供商的内容可用性，我们可以为问题1提供解决方案。通过创建推荐引擎和智能交互应用程序，通过交互(看到、喜欢、不喜欢、不感兴趣)和机器学习来学习推荐，我们解决了问题2。我们的目标是进一步利用来自有影响力的人(评论家、名人等)和热门时事来源的预定义列表，进一步吸引互动，并提供更智能的人工智能数据。[0]：http://macworld.co.uk/news[1]：http://TheMovieDB.org“

"The way in which we watch TV and Movie content is changing. Over the air, scheduled programmes are being replaced by high quality Video on Demand (VOD) services from providers such as Netflix, Amazon, Sky, Now TV and many more globally.Due to this shift from scheduled program guides, we are now expected to know what we would like to watch or be presented with a VoD providers list of available content driven by factors outside of our control.There are two main obstacles with this new approach to content offerings:1. If we know what we want to watch, it is difficult to know which provider, if any, has that content available. We have to login and search and if its not available (more often than not) move onto our next provider.2. If we don't know what we want to watch we are presented with an overwhelming set of available content, some of which we may have already seen and some irrelevant.This leads to a frustration that is common amongst viewers and there is a shift to recommendations from friends / family via social media.https://www.ericsson.com/en/networked-society/trends-and-insights/consumerlab/consumer-insights/reports/tv-and-media-2016, https://cstonline.net/why-cant-i-find-anything-to-watch-on-tv-by-john-ellis/With more reported VoD suppliers on the horizon (Google - techradar.com/news and Apple - [macworld.co.uk/news][0]) this problem will only worsen.Our vision is to develop an app that at its core has an Artificially Intelligent recommendation engine that with minimal user interaction will recommend relevant content for viewers based on personal viewing habits.By utilising whole of market data sources ([TheMovieDB.org][1], IMDB.com) as a central database, mapped to VoD providers content availability we can provide a solution to problem 1\. By creating a recommendation engine and smart interactive app that learns via interaction (seen, like, don't like, not interested) and Machine Learning on recommendations we solve problem 2\. Our aim is to further utilise pre-defined lists from both influencers (critics, celebrities etc) and popular current affairs sources to further entice interaction and provide more intelligent AI data.[0]: http://macworld.co.uk/news[1]: http://TheMovieDB.org"