Session-Based Recommender System
Definition
Session-based recommendations are oriented to the current steps of a person.
A recommendation system that primarily uses the current interaction sequence of a session, often without a persistent user profile.
Simply explained
A shop looks at what you are currently viewing and suggests further matching items.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A shop recommends suitable alternatives based on the most recently viewed products.
Limits and pitfalls
- Ignoring order, setting session boundaries incorrectly, or not controlling popularity effects.
Origin & history
Session-based recommendation became widespread with e-commerce and media usage as well as recurrent models.
Use in mid-sized companies
- Possible application: A shop recommends suitable alternatives based on the most recently viewed products.
Frequently asked questions
What does session-based recommendation system mean?
A recommendation system that primarily uses the current interaction sequence of a session, often without a persistent user profile. What mistakes should be avoided? Ignoring order, setting session boundaries incorrectly, or not controlling popularity effects.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: