Practical considerations when filtering documents.

Desmond Elliott; Leif Azzopardi

Practical considerations when filtering documents.

Abstract

Implementing, configuring, and running an information filtering system in a practical setting is a di• cult and challenging problem. This is due to variety and configuration of available system components along with additional factors such as topic length, feedback, and system training. Moreover, the interplay between the di• erent components and additional factors can lead to degraded system performance when adding or manipulating particular components. We explore the interactions and e• ects of di• erent components and some of the factors with respect to performance. The main contribution of this paper is a better understanding of how to configure filtering systems along with the possible pitfalls of applying conflicting components which harm performance and result in a poor user experience.

Original language	Undefined/Unknown
Title of host publication	IIiX
Number of pages	4
Publication date	2012
Pages	270-273
Publication status	Published - 2012

Cite this

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title = "Practical considerations when filtering documents.",

abstract = "Implementing, configuring, and running an information filtering system in a practical setting is a di• cult and challenging problem. This is due to variety and configuration of available system components along with additional factors such as topic length, feedback, and system training. Moreover, the interplay between the di• erent components and additional factors can lead to degraded system performance when adding or manipulating particular components. We explore the interactions and e• ects of di• erent components and some of the factors with respect to performance. The main contribution of this paper is a better understanding of how to configure filtering systems along with the possible pitfalls of applying conflicting components which harm performance and result in a poor user experience.",

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AB - Implementing, configuring, and running an information filtering system in a practical setting is a di• cult and challenging problem. This is due to variety and configuration of available system components along with additional factors such as topic length, feedback, and system training. Moreover, the interplay between the di• erent components and additional factors can lead to degraded system performance when adding or manipulating particular components. We explore the interactions and e• ects of di• erent components and some of the factors with respect to performance. The main contribution of this paper is a better understanding of how to configure filtering systems along with the possible pitfalls of applying conflicting components which harm performance and result in a poor user experience.

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