***
Skip to content

Behavioral Patterns

Behavioral patterns analyze user actions such as purchases, views, clicks, and shares to infer preferences and generate recommendations. This use case addresses tracking diverse behaviors across channels, understanding behavioral sequences and temporal evolution, distinguishing exploratory from intentional behaviors, and combining behavioral signals from multiple sources to create personalized recommendations that adapt in real-time.

The Challenge

Behavioral-based recommendation systems need to:

  • Track and model diverse user behaviors (purchases, views, clicks, shares)
  • Understand behavioral sequences and patterns
  • Handle sparse behavioral data for new users
  • Distinguish between different types of behaviors (exploratory vs. intentional)
  • Model temporal patterns and behavior evolution
  • Balance recent behavior with long-term preferences

Traditional approaches use simple counting or collaborative filtering, missing the rich semantic relationships in behavioral patterns.

Why EKG is Required

Behavioral patterns require understanding relationships between behaviors, users, content, and context. EKG enables:

  • Semantic behavior modeling — Ontologies enable understanding of behavior meaning and intent
  • Behavioral relationships — Graph structure supports complex relationship types (sequential, causal, contextual)
  • Multi-source integration — Combine behaviors from different channels (web, mobile, in-store)
  • Temporal patterns — Model how behaviors evolve over time and in different contexts
  • Behavioral inference — Infer preferences from indirect behavioral signals
  • Contextual understanding — Model how context affects behavior patterns

Business Value

  • Personalized recommendations — Behavior-based recommendations reflect actual user preferences
  • Improved accuracy — Behavioral signals provide strong indicators of user intent
  • Real-time adaptation — Behavioral patterns enable real-time recommendation updates
  • Cross-channel insights — Unified behavioral view across all channels
  • Predictive analytics — Behavioral patterns enable prediction of future preferences