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recsys-topic-selection

separate

Use when deciding whether a project is a strong ACM RecSys fit, routing among RecSys, SIGIR, KDD, WSDM, TheWebConf, UAI, CHI, and general ML venues, identifying whether the core contribution is genuinely about recommendation, and choosing the right RecSys track before writing begins.

When to use

• deciding whether a project is a strong ACM RecSys fit
• routing among RecSys, SIGIR, KDD, WSDM, TheWebConf, UAI, CHI, and general ML venues
• identifying whether the core contribution is genuinely about recommendation
• choosing the right RecSys track before writing begins

When not to use

• writing the paper
• tasks where the core is ad-hoc retrieval, search ranking, or IR evaluation not tied to recommendation
• general data-mining or large-scale algorithm contributions where recommendation is just one application
• web-scale search-and-mining or web systems broadly
• general learning/probabilistic advances rather than recommender-specific evidence
• user or community outcomes that dominate over the recommendation algorithm

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