most citedEnd User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.HC2024★ 5 cited

End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting

Leijie Wang, Kathryn Yurechko, Pranati Dani +2

Existing tools for laypeople to create personal classifiers often assume a motivated user working uninterrupted in a single, lengthy session. However, users tend to engage with soc…