Tool to get paper recommendations based on positive and negative example papers. Use when you need to find papers similar to ones you like (positive examples) and optionally dissimilar to ones you don't like (negative examples). The recommendation engine analyzes the provided ex…
limitintegerMaximum number of paper recommendations to return. Default is 100, maximum is 500.
fieldsstringComma-separated list of fields to return for each recommended paper. If not specified, only paperId and title are returned. Available fields include: paperId, corpusId, externalIds, url, title, abstract, venue, publicationVenue, year, referenceCount, citationCount, influentialCi…
negative_paper_idsarrayArray of paper IDs that represent negative examples (papers you don't want similar recommendations for). This is optional and helps refine recommendations by excluding similar papers. Accepts the same ID formats as positive_paper_ids.
positive_paper_idsRequiredarrayArray of paper IDs that represent positive examples (papers you like and want similar recommendations for). Supported ID formats include: Semantic Scholar ID (e.g., '649def34f8be52c8b66281af98ae884c09aef38b'), CorpusId (e.g., 'CorpusId:215416146'), DOI (e.g., 'DOI:10.18653/v1/N1…
dataRequiredData from the action execution
errorstringError if any occurred during the execution of the action
successfulRequiredbooleanWhether or not the action execution was successful or not
API key connection. Risk level 2 of 5.
Free Action
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