BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:WWW 2027 Calendar
BEGIN:VEVENT
UID:www-2027-deadline-abstract@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20261019T115900Z
DTEND:20261019T125900Z
SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Fu
 ll-paper abstract deadline
DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo
 rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc
 e URL: https://www2027.thewebconf.org/research-track-papers/\nLocation: D
 ublin\, Ireland\nTopics: Information Retrieval & Search\, Recommender Sys
 tems\, Graphs & Graph Learning\, LLM Agents & Tool Use\nSize: XL\nSubmiss
 ion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-
 07\nNotes: Official homepage states full and short paper portals are open
 \; separate mandatory abstract gates. Research must substantively address
  the Web\, not merely use a web dataset. Preserve WWW as the stable serie
 s alias. Size is an editorial estimate.\nScope: Research on the Web as in
 frastructure and a socio-technical ecosystem. Characteristic ML-facing tr
 acks include search and recommendation\, retrieval-augmented and agentic 
 information access\, graph learning\, and semantic knowledge. Responsible
  Web and privacy research are substantive strands. Merely using a web dat
 aset or API is explicitly insufficient topical relevance.\nAdditional top
 ics: Knowledge Representation & Reasoning\, Data Mining & Data Science\, 
 Fairness & Responsible AI\, Privacy-preserving ML\, Ethics & Governance\n
 Scope sources (2027): https://www2027.thewebconf.org/research-track-paper
 s/\nScope last checked: 2026-10-07
URL:https://www2027.thewebconf.org/research-track-papers/
END:VEVENT
BEGIN:VEVENT
UID:www-2027-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20261026T115900Z
DTEND:20261026T125900Z
SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Fu
 ll paper submission deadline
DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo
 rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc
 e URL: https://www2027.thewebconf.org/research-track-papers/\nLocation: D
 ublin\, Ireland\nTopics: Information Retrieval & Search\, Recommender Sys
 tems\, Graphs & Graph Learning\, LLM Agents & Tool Use\nSize: XL\nSubmiss
 ion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-
 07\nNotes: Official homepage states full and short paper portals are open
 \; separate mandatory abstract gates. Research must substantively address
  the Web\, not merely use a web dataset. Preserve WWW as the stable serie
 s alias. Size is an editorial estimate.\nScope: Research on the Web as in
 frastructure and a socio-technical ecosystem. Characteristic ML-facing tr
 acks include search and recommendation\, retrieval-augmented and agentic 
 information access\, graph learning\, and semantic knowledge. Responsible
  Web and privacy research are substantive strands. Merely using a web dat
 aset or API is explicitly insufficient topical relevance.\nAdditional top
 ics: Knowledge Representation & Reasoning\, Data Mining & Data Science\, 
 Fairness & Responsible AI\, Privacy-preserving ML\, Ethics & Governance\n
 Scope sources (2027): https://www2027.thewebconf.org/research-track-paper
 s/\nScope last checked: 2026-10-07
URL:https://www2027.thewebconf.org/research-track-papers/
END:VEVENT
BEGIN:VEVENT
UID:www-2027-deadline-late-abstract@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20261110T115900Z
DTEND:20261110T125900Z
SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Sh
 ort-paper abstract deadline
DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo
 rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc
 e URL: https://www2027.thewebconf.org/\nLocation: Dublin\, Ireland\nTopic
 s: Information Retrieval & Search\, Recommender Systems\, Graphs & Graph 
 Learning\, LLM Agents & Tool Use\nSize: XL\nSubmission type: Paper-based\
 nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official ho
 mepage states full and short paper portals are open\; separate mandatory 
 abstract gates. Research must substantively address the Web\, not merely 
 use a web dataset. Preserve WWW as the stable series alias. Size is an ed
 itorial estimate.\nScope: Research on the Web as infrastructure and a soc
 io-technical ecosystem. Characteristic ML-facing tracks include search an
 d recommendation\, retrieval-augmented and agentic information access\, g
 raph learning\, and semantic knowledge. Responsible Web and privacy resea
 rch are substantive strands. Merely using a web dataset or API is explici
 tly insufficient topical relevance.\nAdditional topics: Knowledge Represe
 ntation & Reasoning\, Data Mining & Data Science\, Fairness & Responsible
  AI\, Privacy-preserving ML\, Ethics & Governance\nScope sources (2027): 
 https://www2027.thewebconf.org/research-track-papers/\nScope last checked
 : 2026-10-07
URL:https://www2027.thewebconf.org/
END:VEVENT
BEGIN:VEVENT
UID:www-2027-deadline-short-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20261117T115900Z
DTEND:20261117T125900Z
SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Sh
 ort paper submission deadline
DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo
 rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc
 e URL: https://www2027.thewebconf.org/\nLocation: Dublin\, Ireland\nTopic
 s: Information Retrieval & Search\, Recommender Systems\, Graphs & Graph 
 Learning\, LLM Agents & Tool Use\nSize: XL\nSubmission type: Paper-based\
 nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official ho
 mepage states full and short paper portals are open\; separate mandatory 
 abstract gates. Research must substantively address the Web\, not merely 
 use a web dataset. Preserve WWW as the stable series alias. Size is an ed
 itorial estimate.\nScope: Research on the Web as infrastructure and a soc
 io-technical ecosystem. Characteristic ML-facing tracks include search an
 d recommendation\, retrieval-augmented and agentic information access\, g
 raph learning\, and semantic knowledge. Responsible Web and privacy resea
 rch are substantive strands. Merely using a web dataset or API is explici
 tly insufficient topical relevance.\nAdditional topics: Knowledge Represe
 ntation & Reasoning\, Data Mining & Data Science\, Fairness & Responsible
  AI\, Privacy-preserving ML\, Ethics & Governance\nScope sources (2027): 
 https://www2027.thewebconf.org/research-track-papers/\nScope last checked
 : 2026-10-07
URL:https://www2027.thewebconf.org/
END:VEVENT
BEGIN:VEVENT
UID:www-2027-deadline-camera-ready@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20270201T115900Z
DTEND:20270201T125900Z
SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Re
 search-track final version deadline
DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo
 rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc
 e URL: https://www2027.thewebconf.org/research-track-papers/\nLocation: D
 ublin\, Ireland\nTopics: Information Retrieval & Search\, Recommender Sys
 tems\, Graphs & Graph Learning\, LLM Agents & Tool Use\nSize: XL\nSubmiss
 ion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-
 07\nNotes: Official homepage states full and short paper portals are open
 \; separate mandatory abstract gates. Research must substantively address
  the Web\, not merely use a web dataset. Preserve WWW as the stable serie
 s alias. Size is an editorial estimate.\nScope: Research on the Web as in
 frastructure and a socio-technical ecosystem. Characteristic ML-facing tr
 acks include search and recommendation\, retrieval-augmented and agentic 
 information access\, graph learning\, and semantic knowledge. Responsible
  Web and privacy research are substantive strands. Merely using a web dat
 aset or API is explicitly insufficient topical relevance.\nAdditional top
 ics: Knowledge Representation & Reasoning\, Data Mining & Data Science\, 
 Fairness & Responsible AI\, Privacy-preserving ML\, Ethics & Governance\n
 Scope sources (2027): https://www2027.thewebconf.org/research-track-paper
 s/\nScope last checked: 2026-10-07
URL:https://www2027.thewebconf.org/research-track-papers/
END:VEVENT
BEGIN:VEVENT
UID:www-2027-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20270510
DTEND;VALUE=DATE:20270515
SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Co
 nference
DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo
 rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc
 e URL: https://www2027.thewebconf.org/\nLocation: Dublin\, Ireland\nTopic
 s: Information Retrieval & Search\, Recommender Systems\, Graphs & Graph 
 Learning\, LLM Agents & Tool Use\nSize: XL\nSubmission type: Paper-based\
 nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official ho
 mepage states full and short paper portals are open\; separate mandatory 
 abstract gates. Research must substantively address the Web\, not merely 
 use a web dataset. Preserve WWW as the stable series alias. Size is an ed
 itorial estimate.\nScope: Research on the Web as infrastructure and a soc
 io-technical ecosystem. Characteristic ML-facing tracks include search an
 d recommendation\, retrieval-augmented and agentic information access\, g
 raph learning\, and semantic knowledge. Responsible Web and privacy resea
 rch are substantive strands. Merely using a web dataset or API is explici
 tly insufficient topical relevance.\nAdditional topics: Knowledge Represe
 ntation & Reasoning\, Data Mining & Data Science\, Fairness & Responsible
  AI\, Privacy-preserving ML\, Ethics & Governance\nScope sources (2027): 
 https://www2027.thewebconf.org/research-track-papers/\nScope last checked
 : 2026-10-07
URL:https://www2027.thewebconf.org/
LOCATION:Dublin\, Ireland
END:VEVENT
END:VCALENDAR