BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:WSDM 2027 Calendar
BEGIN:VEVENT
UID:wsdm-2027-deadline-abstract@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20260818T115900Z
DTEND:20260818T125900Z
SUMMARY:[Data Mining & Data Science][Machine Learning] WSDM 2027 - Abstract
  submission deadline
DESCRIPTION:Conference title: ACM International Conference on Web Search an
 d Data Mining\nWebsite: https://www.wsdm-conference.org/2027/\nSource URL
 : https://www.wsdm-conference.org/2027/cffp.html\nLocation: Hong Kong\, C
 hina\nTopics: Data Mining & Data Science\, Machine Learning\, Fairness & 
 Responsible AI\, Human-AI Interaction & Deployment\nSize: L\nSubmission t
 ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nN
 otes: Official WSDM 2027 pages list Hong Kong\, Feb 15-19\, and the abstr
 act/paper deadlines.\nScope: Web search\, ranking\, recommendation and mi
 ning of web and social data. Characteristic extensions include large-scal
 e graph analysis\, conversational retrieval\, foundation-model and agenti
 c web systems\, and fairness and privacy in information access. The broad
  emerging-applications inventory is not treated as evidence that WSDM is 
 a specialist healthcare or climate venue.\nAdditional topics: Information
  Retrieval & Search\, Recommender Systems\, Graphs & Graph Learning\, LLM
  Agents & Tool Use\, Natural Language Processing & LLMs\nScope sources (2
 027): https://www.wsdm-conference.org/2027/cffp.html\nScope last checked:
  2026-10-07
URL:https://www.wsdm-conference.org/2027/cffp.html
END:VEVENT
BEGIN:VEVENT
UID:wsdm-2027-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20260825T115900Z
DTEND:20260825T125900Z
SUMMARY:[Data Mining & Data Science][Machine Learning] WSDM 2027 - Paper su
 bmission deadline
DESCRIPTION:Conference title: ACM International Conference on Web Search an
 d Data Mining\nWebsite: https://www.wsdm-conference.org/2027/\nSource URL
 : https://www.wsdm-conference.org/2027/cffp.html\nLocation: Hong Kong\, C
 hina\nTopics: Data Mining & Data Science\, Machine Learning\, Fairness & 
 Responsible AI\, Human-AI Interaction & Deployment\nSize: L\nSubmission t
 ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nN
 otes: Official WSDM 2027 pages list Hong Kong\, Feb 15-19\, and the abstr
 act/paper deadlines.\nScope: Web search\, ranking\, recommendation and mi
 ning of web and social data. Characteristic extensions include large-scal
 e graph analysis\, conversational retrieval\, foundation-model and agenti
 c web systems\, and fairness and privacy in information access. The broad
  emerging-applications inventory is not treated as evidence that WSDM is 
 a specialist healthcare or climate venue.\nAdditional topics: Information
  Retrieval & Search\, Recommender Systems\, Graphs & Graph Learning\, LLM
  Agents & Tool Use\, Natural Language Processing & LLMs\nScope sources (2
 027): https://www.wsdm-conference.org/2027/cffp.html\nScope last checked:
  2026-10-07
URL:https://www.wsdm-conference.org/2027/cffp.html
END:VEVENT
BEGIN:VEVENT
UID:wsdm-2027-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20270215
DTEND;VALUE=DATE:20270220
SUMMARY:[Data Mining & Data Science][Machine Learning] WSDM 2027 - Conferen
 ce
DESCRIPTION:Conference title: ACM International Conference on Web Search an
 d Data Mining\nWebsite: https://www.wsdm-conference.org/2027/\nSource URL
 : https://www.wsdm-conference.org/2027/\nLocation: Hong Kong\, China\nTop
 ics: Data Mining & Data Science\, Machine Learning\, Fairness & Responsib
 le AI\, Human-AI Interaction & Deployment\nSize: L\nSubmission type: Pape
 r-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Off
 icial WSDM 2027 pages list Hong Kong\, Feb 15-19\, and the abstract/paper
  deadlines.\nScope: Web search\, ranking\, recommendation and mining of w
 eb and social data. Characteristic extensions include large-scale graph a
 nalysis\, conversational retrieval\, foundation-model and agentic web sys
 tems\, and fairness and privacy in information access. The broad emerging
 -applications inventory is not treated as evidence that WSDM is a special
 ist healthcare or climate venue.\nAdditional topics: Information Retrieva
 l & Search\, Recommender Systems\, Graphs & Graph Learning\, LLM Agents &
  Tool Use\, Natural Language Processing & LLMs\nScope sources (2027): htt
 ps://www.wsdm-conference.org/2027/cffp.html\nScope last checked: 2026-10-
 07
URL:https://www.wsdm-conference.org/2027/
LOCATION:Hong Kong\, China
END:VEVENT
END:VCALENDAR