ScholarGate
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Process / pipelineInformation behavior / information retrieval interaction

Berrypicking Evaluation

Marcia Bates's berrypicking model, introduced in her 1989 Online Review article 'The design of browsing and berrypicking techniques for the online search interface,' rejects the classic picture of information retrieval as a single query matched against a database to return one optimal set. Real searches, Bates argued, are evolving: the query shifts as the searcher learns, and useful information is gathered bit-at-a-time, like picking scattered berries, from many different sources using many different techniques. Used as an evaluative lens, the berrypicking model judges search systems and interfaces not by how well they answer one fixed query but by how well they support a continually changing need — letting searchers move fluidly among footnote chasing, citation searching, journal runs, area scans and subject searches as their understanding develops.

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Fontes

  1. Bates, M. J. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Review, 13(5), 407-424. DOI: 10.1108/eb024320

Como citar esta página

ScholarGate. (2026, June 23). Berrypicking Evaluation (Bates's Evolving Search and Berrypicking Model of Online Information Retrieval). ScholarGate. https://scholargate.app/pt/library-information-science/berrypicking-evaluation

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ScholarGateBerrypicking Evaluation (Berrypicking Evaluation (Bates's Evolving Search and Berrypicking Model of Online Information Retrieval)). Recuperado em 2026-06-24 de https://scholargate.app/pt/library-information-science/berrypicking-evaluation · Conjunto de dados: https://doi.org/10.5281/zenodo.20539026