Taiwan startup Eunomics, a provider of e-commerce solutions, is moving to grasp reading habits of users with a non-chat method and provide accurate personalized information services.
Introducing the firm's solutions at the just-concluded Meet Taipei Startup Festival 2018, product manager Jesse Chen said that Eunomics can use its patented data transmission method to deliver data to social media and other channels, and can then adopt patented neural network algorithms to track and analyze personal or group reading behavior, so as to realize accurate audience delivery.
Entering cooperation with news content providers one year after its inception in 2013, Eunomics has developed servers in-house for data collection and processing and managed to place ads catering to potential needs of users based on their reading behaviors, ages and interests, according to Chen.
Chen continued that Eunomics now focuses on applying AI and neural network algorithms to reading tracking, characteristics analysis, correlation analysis, as well as information and ad placement, based on related lexical and grammatical features.
Chen stressed that if consumers want to buy a certain product with the highest price/performance ratio, they can enter related key words on the firm's system, which will automatically recommend the exact product they need.