Search, retrieval & recommendation· 2015
Session-based Recommendations with Recurrent Neural Networks
On the reading lists
- #363 in the Top 500 (2026 edition)
- #26 in Search, retrieval & recommendation (2026 edition)
Why it matters
Established recurrent neural networks for session-aware recommendation without persistent user histories.
Condensed from the expert lists' notes.
The record
- First released
- 2015 (from arXiv 1511.06939)
- Published
- 2016
- Citations
- 3,206 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.400 · computed rank 363 · consensus 0.47, must-read 0, citations percentile 0.741 (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.