Socialite Discovery and Recommendation Engine

Get Socialite有限公司（Socialite）已经确定并开发了一种新颖的软件驱动概念，用于通知和提醒用户即将到来的“事件”，其中用户因其下载行为而表达或显示出兴趣。社交名流在处理“事件”方面是独一无二的，这些事件可以包括产品发布、体育赛事、电影上映日期等，并在产品发布后取得了成功。它目前拥有全球观众（截至2014年9月有10，000名用户-过去五个月有9，000名用户）注册并受益于个人相关信息。该解决方案横向跨越多个垂直行业，以确保用户不断对服务的数量和相关性感到惊讶。为了加速市场增长，Socialite需要着眼于其交付机制的技术未来，性能，自动化和系统智能是更广泛受众的关键。该项目旨在通过调查和演示来证明下一代概念。主要目标和产出是：1）直观和智能的事件通知平台，该平台将分析用户的兴趣和行为，并将其与即将发生的事件的个性化建议联系起来;2）与Socialite当前产品的Web界面，该界面将允许企业访问跟踪他们的用户的选定数据; 3）向焦点小组部署演示器。该项目旨在为各种垂直行业的每个用户提供独特的建议，这是尝试一种适合所有可扩展解决方案的务实方法。该项目的潜在好处/成果包括：1）由于内容的过度可用性，向日益严重的“信息过载”问题迈出了一步;2）拓宽了用户的兴趣前景;3）企业可以从更具成本效益的营销中受益;以及4）为用户节省了大量有效的时间。

Get Socialite Ltd (Socialite) has identified and developed a novel software driven concept ofinforming and alerting users of upcoming “events” where the users have expressed or shownan interest due to their download behavior. Socialite is unique in its approach to “events”,which can include product releases, sports fixtures, film release dates, etc., and has enjoyedsuccess following product release. It currently has a world-wide audience (10,000 users as atSeptember 2014 – 9,000 in the last five months) registered and benefiting from personallyrelative information. The solution cuts horizontally across a multitude of vertical sectors toensure users are continually amazed by the volume and relevancy of the service.In order to accelerate market growth Socialite needs to look to the technological future of itsdelivery mechanisms with performance, automation and system intelligence being the key to awider audience. The projects aim is to prove a next generation concept through investigationand demonstration.The key objectives and outputs are:1) an intuitive and intelligent event notification platform which will analyse users’ interestsand behaviour and link these to personalised recommendations for upcoming events;2) a web interface with Socialite’s current product, which will allow businesses to accessselected data on users who are following them;3)a demonstrator deployment to a focus group.This project is aiming to provide unique recommendations for each user across a wide rangeof verticals and this is a pragmatic approach at attempting a one size fits all scalable solution.Amongst the potential benefits/outcomes of the project would be:1) a step towards the growing problem of “information overload” due to excessive availabilityof content;2) the broadening of a user’s interest outlook;3) businesses could benefit from more cost effective marketing; and4) a significant and effective time saver for users.