seniorRecommendation Systems
What is sequence modeling in recommendation systems?
Updated May 16, 2026
Short answer
Sequence modeling captures order of user interactions to predict future behavior.
Deep explanation
Sequential recommendation models consider the order of interactions rather than treating them as independent events. Techniques include Markov chains, RNNs, and Transformers. They are effective for modeling evolving user preferences.
Real-world example
Spotify predicting next song based on listening sequence.
Common mistakes
- Ignoring time dependencies in user behavior.
Follow-up questions
- What is Markov model in recommendations?
- Why Transformers are used?