Implicit feedback vs explicit ratings in recsys.
hardAnswer
- Explicit: users give a star rating.
- Rare in practice.
- Implicit: clicks, views, time-on-page, purchases → 'positive' signal only, no negatives.
- Weight positive (confidence) by frequency; treat unobserved as low-confidence negatives (Hu-Koren-Volinsky weighted ALS).
- BPR: pairwise ranking loss on 'clicked > not-clicked'.
- Standard in industry: Spark ALS (implicit), Amazon DSSTNE, YouTube's dual-tower.
Check yourself — multiple choice
- Same thing
- Explicit: star ratings (rare); Implicit: clicks/views/purchases → positive-only signal; weight confidence via frequency + BPR pairwise loss for ranking
- Random
- Not real
Implicit feedback: positive-only signal; weighted ALS or BPR pairwise.
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Practise Unsupervised Learning
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