wsdm-related-work
Use when positioning a paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation, community detection), contrasting against SIGIR/KDD/WWW/CIKM/RecSys neighbors, venue-misattribution traps, and compressing the section for the tight page budget.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wsdm-related-work --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# WSDM Related Work Position a submission against the literature the WSDM PC actually knows. At a small single-track venue, related-work errors are unusually visible: the person who wrote the paper you mis-cited may be your SPC. The section's job in a 9-page-inclusive budget is *positioning* - establishing which conversation the paper joins and what precisely it adds - not coverage. ## Join a lineage, don't float free WSDM has multi-edition research lineages, and reviewers instinctively slot new work into them. Naming your lineage does the slotting for them (all rows verified against ACM DL/dblp; see `../../resources/exemplars/library.md`): | Lineage | Anchor papers at WSDM | If your paper is here, position against | |---|---|---| | Click models / position bias | Craswell et al. 2008 (cascade model) | Subsequent click-model and propensity work | | Unbiased learning-to-rank | Joachims et al. 2017 | The ULTR line it started, incl. recent WSDM/SIGIR follow-ups | | Sequential recommendation | Tang & Wang 2018 (Caser) | The CNN/attention sequential-rec succession | | RL / bandits for recommendation | Chen et al. 2019 (Top-K off-policy, YouTube) | Off-policy and bandit rec work since | |
- Join a lineage, don't float free
- The contrast sentence
- Sibling-venue positioning
- Misattribution traps
- Worked positioning paragraph (fictional)
- Compression for the budget
- Output format
What does the wsdm-related-work skill do?
Use when positioning a paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation, community detection), contrasting against SIGIR/KDD/WWW/CIKM/RecSys neighbors, venue-misattribution traps, and compressing the section for the tight page budget.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wsdm-related-work --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 984 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.