Project #14
Title: Improving the relevance of personalized marketing using graph databases
Leader's Name: Rex Wagenius
Member2 Name: Alexander Wilczek
Related paper: Dritan Bleco and Yannis Kotidis, Graph Analytics on Massive Collections of Small Graphs, 17th International Conference on Extending Database Technology (EDBT), March 24-28, 2014
Presentation Day: May 25
Model: ES
Abstract: Today many websites use personalized marketing, however, as most have experienced, this is not as personalized, nor intelligent, as it could be. A common problem is that the product or service marketed is something that the user already have bought. In this report we suggest a solution to improve the relevance of the personalized marketing, increase the intelligence of the systems used, as well as provide an expansion of today's personalized marketing using graph databases.
The idea is to create one graph for each user that links to areas of interest. Then by linking each area of interest to products and services relevant to that area the precision of the personalized marketing can be improved. To further improve this, areas of interest can be linked to other areas that are either similar or that several users of this interest have in common.
Even though relational databases can be used for this a graph database is more suitable to keep the information relevant over time and thus the ever-changing interests of a user can be kept up to date.