Individual skill

cikm-topic-selection

Use when deciding whether a project fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM against SIGIR, KDD, WSDM, TheWebConf, SIGMOD/VLDB, or ISWC, and when choosing among CIKM's five tracks before writing begins.

CIKM-Skills/skills/cikm-topic-selection/SKILL.md

Read pinned source

Source commit 932eb23331721b16e967c59f093781be1928b498

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
Yes
Observed behavior
Network or broad shell
Last checked
Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
1,402
Repository last updated
Sep 27, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# CIKM Topic Selection

CIKM is the room where three communities meet: information retrieval, data mining, and
knowledge management with its database roots. Its sponsorship tells the story — ACM
SIGIR (since 1993) plus SIGWEB (since 2006) — and its 2026 self-description spans
information access, knowledge representation, data integration, and personalization
(source map, checked 2026-07-08). Fit questions here are therefore different from
single-community venues: the issue is rarely "is this in scope" and usually "is the
breadth an advantage for this particular paper."

## The tri-community fit question

Ask which communities the paper genuinely speaks to, then count:
Back to top