Delivering real-time recommendations and reviews with Twitter

Twizoo is a restaurant recommendation app based on what people say on Twitter. By harnessing the volume of opinions shared on Twitter everyday, Twizoo surfaces seven Tweets about a food or drink establishment for every one traditional review on popular customer review sites. Twizoo realized that by leveraging the volume and real-time nature of the content on Twitter, the company could create a differentiating product— delivering relevant, in-the-moment recommendations for people searching for a place to eat or drink.

To do this, Twizoo needed a powerful way to access the full stream of Tweets that could be about restaurants for further analysis. The company also needed to develop an intuitive UI that helped users make quick decisions by cooking down these millions of Tweets into overall recommendations— and most importantly, to give their users instant access to the most relevant Tweets about food and drink establishments in real-time. To display these Tweets to their users, Twizoo didn’t want to waste time sending several attributes about each Tweet in order to render their own display within their app. There was a lot of data to be analyzed and to get in front of the users instantly, but the company didn’t have an easy way to access and send all the necessary Tweet data downstream, or to render those Tweets in their app.