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Data Science in the Wild

Data Science in the Wild

Recommender Systems — How User Activity Creates Phantom Item Similarity

· 18 Min. · Staffel 2 Folge 14

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Phantom correlation (Favier et al., University of Antwerp): user activity alone makes items look similar. On MovieLens-1M, an activity-only model removes 81% of the independence model's co-occurrence mismatch.
Key takeaways:

• The toy example. 100 equally liked films; half the users watch each film with probability 0.01, half with 0.20, all independently. Lift still says every pair co-occurs about 1.82 times more often than chance.
• The model. Three assumptions (independent consumption, more activity raises every item, activity is the only difference) yield exactly one model, the Rasch…

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