Socialite Discovery and Recommendation Engine

Get Socialite Ltd （Socialite）已经确定并开发了一种新颖的软件驱动概念，即告知并提醒用户即将发生的“事件”，即用户由于其下载行为而表达或表现出兴趣的事件。Socialite对“事件”的处理方式很独特，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。它目前拥有全球范围内的注册用户（截至2014年9月为10,000名用户-过去五个月为9,000名用户），并从个人相关信息中受益。该解决方案横向跨越多个垂直领域，以确保用户不断为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，其中性能、自动化和系统智能是获得更广泛受众的关键。该项目的目的是通过调查和示范来证明下一代概念。主要目标和产出是：1)一个直观和智能的事件通知平台，它将分析用户的兴趣和行为，并将这些与即将发生的事件的个性化推荐联系起来；2) Socialite当前产品的网页界面，允许企业访问关注他们的用户的选定数据；3)向焦点小组部署演示者。这个项目的目标是在广泛的垂直领域为每个用户提供独特的建议，这是一种实用的方法，可以尝试一刀切的可扩展解决方案。该项目的潜在好处/结果包括：1)解决由于内容过度可用而日益严重的“信息超载”问题；2)拓宽用户的兴趣视野；3)企业可以从更具成本效益的营销中受益；4)为用户显著而有效地节省时间。

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.