Graph-Powered Machine Learning

7 Context-aware and hybrid recommendations

This chapter covers

• Implementing a recommendation engine that takes into account the user’s context
• Designing graph models for context-aware recommendation engines
• Importing existing datasets into the graph models
• Combining multiple recommendation approaches

This chapter introduces into the recommendation scenario another variable that the previous approaches ignored: context. The specific conditions in which the user expresses a desire, preference, or need have a strong influence on their behavior and expectations. Different techniques exist to consider the user’s context during the recommendation process. We’ll cover the main ones in this chapter.

Furthermore, to complete our overview of recommendation ...