Intelligent recommendation and automatic maintenance of loyalty rewards programs

加拿大人在日常生活中严重依赖各种忠诚度奖励计划，例如，航空里程， Shoppers Optimum、Canadian Tire Rewards/Money、Aeroplan等等。虽然这些奖励计划 为顾客节省开支，为零售商带来利润，携带数十张奖励卡的不便， 大大限制了客户对奖励计划的参与。一个有希望的解决方案是管理奖励 智能手机卡，这不仅消除了使用物理卡，但也增加了服务 奖励计划提供的。Fanplastic是CompuClever Systems Inc.的产品，就是这样一种解决方案。 这个Engage项目的目标是解决fanplastic平台中的两个核心技术挑战：（1）设计 并开发一个智能的，最佳的奖励推荐引擎，（2）开发一个自动搜索 云引擎，用于会员卡和第三方服务的更新和维护。 该项目的主要成果包括：（1）一个上下文感知的最优推荐引擎， 用户友好的优惠券推荐，（2）用于更新忠诚卡的自动后端搜索引擎 云中的数据库和相关联的第三方服务，（3）应用编程接口（API）， 可由fanplastic平台直接调用，执行算法并输出结果。

Canadians have been heavily depending on various loyalty rewards programs in their daily life, e.g., Airmiles, Shoppers Optimum, Canadian Tire Rewards/Money, Aeroplan, and many more. While these rewards programs bring savings to customers as well as profit to retailers, the inconvenience of carrying tens of rewards cards has greatly limited customer participation in the rewards programs. A promising solution is to manage the rewards cards with smartphones, which not only eliminate the use of physical cards but also augment the services offered by the rewards programs. Fanplastic, a product from CompuClever Systems Inc., is one such solution. The goal of this Engage project is to address two core technical challenges in the fanplastic platform: (1) design and develop an intelligent, optimal rewards recommendation engine, and (2) develop an automatic search engine over cloud for the update and maintenance of loyalty cards and third-party services. The main output of this project includes: (1) an optimal recommendation engine for context-aware, user-friendly coupon recommendation, (2) an automatic backend search engine for updating the loyalty cards database and associated third-party services in the cloud, (3) an application programming interface (API), which can be called directly by the fanplastic platform, to execute the algorithms and output the results.