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Information filtering and information retrieval: two sides of the same coin?
Open accessAbstract
Information filtering is a name used to describe a variety of processes involving the delivery of information to people who need it.Although this term is appearing quite often in popular and technical articles describing applications such as electronic mail, multimedia distributed systems, and electronic office documents, the distinction between filtering and related processes such as retrieval, routing, categorization, and extraction is often not dear.It is only by making that distinction, however, that the specific research issues associated with filtering can be identified and addressed.A reasonable first step in defining information filtering is to list the typical characteristics or features of this process.The following features are the most commonly mentioned:• An information filtering system is an information system designed for unstructured or semistructured data.This contrasts with a typical database application that involves very structured data, such as employee records.The notion of structure being used here is not only that the data conforms to a format such as a record type description, but also that the fields of the records consist of simple data types with well-defined meanings.It is possible, for example, to define a database type for a complex document, such as a journal article, but the meaning of the text, figure and table components of that type ¢ONNUNle.INI, TIQNI Opllllil~-IMl/Decem}~er 1992/Vo| .35,No.
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Cited by
GroupLens: an open architecture for collaborative filtering of netnews
Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., & Riedl, J. (1994) · Proceedings of the 1994 ACM conference on Computer supported cooperative work - CSCW '94 · doi:10.1145/192844.192905 · Cited by 5,058
Content-Based Recommendation Systems
Pazzani, M. J., & Billsus, D. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-72079-9_10 · Cited by 2,600
A Survey of Automatic Query Expansion in Information Retrieval
Carpineto, C., & Romano, G. (2012) · ACM Computing Surveys · doi:10.1145/2071389.2071390 · Cited by 1,109
Query expansion techniques for information retrieval: a survey
Azad, H. K., & Deepak, A. (2019) · Information Processing & Management · doi:10.1016/j.ipm.2019.05.009 · Cited by 313
Variations in relevance judgments and the measurement of retrieval effectiveness
Voorhees, E. M. (1998) · Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/290941.291017 · Cited by 303
Metadata
- Authors
- Belkin, N. J., & Croft, W. B.
- Venue
- Communications of the ACM
- Published
- 1992-12
- Volume
- 35
- Issue
- 12
- Pages
- 29-38
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2106365165
- Cited by
- 1,308
- References
- 0
- FWCI
- 75.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Belkin, N. J., & Croft, W. B. (1992). Information filtering and information retrieval: two sides of the same coin? Communications of the ACM. https://doi.org/10.1145/138859.138861
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