Market basket analysis — modern approach.
hardAnswer
- Classical: association rules (Apriori/FP-Growth).
- Modern: (1) product embeddings via word2vec-on-baskets ('prod2vec'), (2) session-based recsys (GRU4Rec, SASRec) on sequential purchases, (3) graph embeddings on co-purchase network, (4) contextual bandits for personalization.
- Association rules still useful for interpretable insights + regulatory reporting; embeddings win on prediction / recall metrics.
Check yourself — multiple choice
- Only Apriori
- Classical association rules + modern: prod2vec, session-based (GRU4Rec/SASRec), co-purchase graph embeddings, contextual bandits — rules for insight, embeddings for prediction
- Random
- Not real
Market basket: rules for insight + embeddings/sequential for prediction.
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Practise Unsupervised Learning
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