Improve customer experience based on recommendation and detection of a pattern change in eating habits

Abstract:

This paper lays out a new approach to improve consumer experience using a graph database to extract the consumer eating habits from a large amount of anonymized data. As a result, a web system was developed for making recipes, recommendations using recommender system techniques, inference, and a graph technology. Also a set of multimedia components and mobile services are joined to the system in order to reach a new level of use of digital consumer services.

Año de publicación:

2018

Keywords:

• Recommender system
• graph databases
• Neo4j
• Eating Habits
• inference data
• on-line payments

Fuente:

scopus

google

orcid