Using collaborative filtering to weave an information tapestry

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Using collaborative filtering to weave an information tapestry (1992)

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by David Goldberg , David Nichols , Brian M. Oki , Douglas Terry

Venue:	Communications of the ACM
Citations:	953 - 4 self

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@ARTICLE{Goldberg92usingcollaborative,
    author = {David Goldberg and David Nichols and Brian M. Oki and Douglas Terry},
    title = {Using collaborative filtering to weave an information tapestry},
    journal = {Communications of the ACM},
    year = {1992},
    volume = {35},
    pages = {61--70}
}

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Abstract

predicated on the belief that information filtering can be more effective when humans are involved in the filtering process. Tapestry was designed to support both content-based filtering and collaborative filtering, which entails people collaborating to help each other perform filtering by recording their reactions to documents they read. The reactions are called annotations; they can be accessed by other people’s filters. Tapestry is intended to handle any incoming stream of electronic documents and serves both as a mail filter and repository; its components are the indexer, document store, annotation store, filterer, little box, remailer, appraiser and reader/browser. Tapestry’s client/server architecture, its various components, and the Tapestry query language are described.

Keyphrases

collaborative filtering information tapestry content-based filtering client server architecture document store various component perform filtering little box mail filter annotation store information filtering electronic document filtering process reader browser incoming stream people filter tapestry query language

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