Semantic Information Processing to Improve e-Commerce Shopper Experience

Granify provides a service to stores on the internet that offers promotions, discounts, and information to customers who might need such information or incentives for the store to make a sale. Granify does this by using an artificial intelligence “brain” that guesses when the best opportunity to act to keep that store’s customers happy. We plan to help Granify by applying advanced research on searching and finding information, combined with research about enabling computers to understand text and its meaning to help it’s artificial intelligence brain make decisions with even more intelligence. Yet there are many websites and many different web browsers, such as Microsoft Edge, Mozilla Firefox, and Google Chrome, these products all act slightly differently and have different issues and bugs, this makes Granify’s job even harder as they have to deal with all of these products. By using these advanced search and understanding techniques we want to help Granify diagnose and debug these mutli-product problems. TO BE CONT’D

Faculty Supervisor:

Denilson Barbosa;Marek Reformat;Abram Hindle

Student:

Partner:

Granify Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program: