BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CIKM 2026 Calendar
BEGIN:VEVENT
UID:cikm-2026-deadline-abstract@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20260517T115900Z
DTEND:20260517T125900Z
SUMMARY:[Data Mining & Data Science][Machine Learning] CIKM 2026 - Abstract
  submission deadline
DESCRIPTION:Conference title: ACM International Conference on Information a
 nd Knowledge Management\nWebsite: https://cikm2026.diag.uniroma1.it/\nSou
 rce URL: https://cikm2026.diag.uniroma1.it/\nLocation: Rome\, Italy\nTopi
 cs: Data Mining & Data Science\, Machine Learning\, Natural Language Proc
 essing & LLMs\, Human-AI Interaction & Deployment\nSize: XL\nSubmission t
 ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-31\nN
 otes: Official CIKM 2026 materials confirm Rome\, Nov 7-11\, and the May 
 16 abstract and May 23 full-paper deadlines.\nScope: Information retrieva
 l\, knowledge management\, data mining and database systems\, with a stro
 ng focus on effective information access and knowledge at scale. The 2026
  organizer description emphasizes AI for information access\, knowledge r
 epresentation\, personalization and evaluation. Agentic and graph methods
  are relevant through these information and knowledge problems.\nAddition
 al topics: Information Retrieval & Search\, Recommender Systems\, Knowled
 ge Representation & Reasoning\, Graphs & Graph Learning\, LLM Agents & To
 ol Use\nScope sources (2026): https://cikm2026.diag.uniroma1.it/\nScope l
 ast checked: 2026-10-07
URL:https://cikm2026.diag.uniroma1.it/
END:VEVENT
BEGIN:VEVENT
UID:cikm-2026-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20260524T115900Z
DTEND:20260524T125900Z
SUMMARY:[Data Mining & Data Science][Machine Learning] CIKM 2026 - Full pap
 er submission deadline
DESCRIPTION:Conference title: ACM International Conference on Information a
 nd Knowledge Management\nWebsite: https://cikm2026.diag.uniroma1.it/\nSou
 rce URL: https://cikm2026.diag.uniroma1.it/\nLocation: Rome\, Italy\nTopi
 cs: Data Mining & Data Science\, Machine Learning\, Natural Language Proc
 essing & LLMs\, Human-AI Interaction & Deployment\nSize: XL\nSubmission t
 ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-31\nN
 otes: Official CIKM 2026 materials confirm Rome\, Nov 7-11\, and the May 
 16 abstract and May 23 full-paper deadlines.\nScope: Information retrieva
 l\, knowledge management\, data mining and database systems\, with a stro
 ng focus on effective information access and knowledge at scale. The 2026
  organizer description emphasizes AI for information access\, knowledge r
 epresentation\, personalization and evaluation. Agentic and graph methods
  are relevant through these information and knowledge problems.\nAddition
 al topics: Information Retrieval & Search\, Recommender Systems\, Knowled
 ge Representation & Reasoning\, Graphs & Graph Learning\, LLM Agents & To
 ol Use\nScope sources (2026): https://cikm2026.diag.uniroma1.it/\nScope l
 ast checked: 2026-10-07
URL:https://cikm2026.diag.uniroma1.it/
END:VEVENT
BEGIN:VEVENT
UID:cikm-2026-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20261107
DTEND;VALUE=DATE:20261112
SUMMARY:[Data Mining & Data Science][Machine Learning] CIKM 2026 - Conferen
 ce
DESCRIPTION:Conference title: ACM International Conference on Information a
 nd Knowledge Management\nWebsite: https://cikm2026.diag.uniroma1.it/\nSou
 rce URL: https://cikm2026.diag.uniroma1.it/\nLocation: Rome\, Italy\nTopi
 cs: Data Mining & Data Science\, Machine Learning\, Natural Language Proc
 essing & LLMs\, Human-AI Interaction & Deployment\nSize: XL\nSubmission t
 ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-31\nN
 otes: Official CIKM 2026 materials confirm Rome\, Nov 7-11\, and the May 
 16 abstract and May 23 full-paper deadlines.\nScope: Information retrieva
 l\, knowledge management\, data mining and database systems\, with a stro
 ng focus on effective information access and knowledge at scale. The 2026
  organizer description emphasizes AI for information access\, knowledge r
 epresentation\, personalization and evaluation. Agentic and graph methods
  are relevant through these information and knowledge problems.\nAddition
 al topics: Information Retrieval & Search\, Recommender Systems\, Knowled
 ge Representation & Reasoning\, Graphs & Graph Learning\, LLM Agents & To
 ol Use\nScope sources (2026): https://cikm2026.diag.uniroma1.it/\nScope l
 ast checked: 2026-10-07
URL:https://cikm2026.diag.uniroma1.it/
LOCATION:Rome\, Italy
END:VEVENT
END:VCALENDAR