Search, retrieval & recommendation· 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DOI 10.24963/ijcai.2017/239arXiv 1703.04247OpenAlex W2604662567
On the reading lists
- #339 in the Top 500 (2026 edition)
- #23 in Search, retrieval & recommendation (2026 edition)
Why it matters
Combined factorization machines and deep networks to learn low- and high-order interactions.
Condensed from the expert lists' notes.
The record
- First released
- 2017 (from arXiv 1703.04247)
- Citations
- 3,251 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.417 · computed rank 339 · consensus 0.44, must-read 0, citations percentile 0.815 (2010s · 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). Each count names its source. See the method.