WSDM 2027 — Web Search and Data Mining
📅 Monday, 15 February 2027 → Friday, 19 February 2027 in 213 days
WSDM 2027 — the 20th ACM Conference on Web Search & Data Mining, Hong Kong, 15–19 February.
WSDM 2027 (pronounced "wisdom"), the 20th ACM International Conference on Web Search and Data Mining, is held 15–19 February 2027 at Cordis, Hong Kong. It is a highly selective conference on web-inspired search and data mining, with proceedings in the ACM Digital Library.
What you gain & who presents
WSDM publishes principled, practical research on search, data mining, algorithm design and the social web — and the 2027 topic list now foregrounds Foundation Models and Agentic Systems alongside privacy, fairness and interpretability. Keynotes come from Bowen Zhou (Shanghai AI Lab / Tsinghua), Lars Backstrom (VP, Meta) and Jimmy Huang (York University); general chairs include Xiao Huang and Hongxia Yang (HK PolyU) and Yang Song (Meta). A new Findings track widens the door to solid work.
Where it fits
The web is both the training data and the deployment surface for modern AI. WSDM is where search, recommendation and mining meet large models and agents — essential for researchers and engineers building the systems billions use daily.
📝 Call for papers open
Open. Primary deadline 24 Aug 2026 · AoE (UTC‒12). WSDM 2027 Hong Kong 15-19 Feb; abstracts 17 Aug, papers 24 Aug 2026 AoE; ACM DL.
| Abstract | 17 Aug 2026 · AoE (UTC‒12) |
|---|---|
| Full paper / submission | 24 Aug 2026 · AoE (UTC‒12) |
| Author notification | 2 Nov 2026 · AoE (UTC‒12) |
Deadlines can change — always confirm on the official call page before submitting.
Speakers
- Bowen Zhou — Shanghai AI Lab (Director & Chief Scientist); Tsinghua University keynote
- Jimmy Huang — York University (Research Chair Professor) keynote
- Lars Backstrom — Meta (Vice President) keynote