Search, retrieval & recommendation· 1998
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
On the reading lists
- #371 in the Top 500 (2026 edition)
- #27 in Search, retrieval & recommendation (2026 edition)
Why it matters
Established systematic comparisons of neighborhood, correlation, and probabilistic collaborative-filtering algorithms.
Condensed from the expert lists' notes.
The record
- First released
- 1998 (from oracle lists)
- Citations
- 6,004 citations, as counted by
Semantic Scholar (non-commercial licence) - Named by
- both expert lists
- Score
- 0.397 · computed rank 371 · consensus 0.39, must-read 0, citations percentile 0.8 (1990s · retrieval), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and
Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.