Cyberspace 2000

Berghel, Hal

doi:10.1145/253671.253680

Cited by 111 publications

(31 citation statements)

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“…They will complement the existing clientserver base, including a wide variety of client-server browsers, locators, e-mailers, and transfer programs (cf. Berghel, 1997). Those programs will provide back ends to customizing modules.…”

Section: Information Customization Architecturesmentioning

confidence: 99%

Cyberbrowsing: Information customization on the Web

Berghel

Berleant

Foy

et al. 1999

J. Am. Soc. Inf. Sci.

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The ability to discriminate and distinguish among individual documents in the ever‐increasing volume of information available through digital networks is becoming more and more difficult. With websites being added to the 100 million installed base by tens of thousands per month, information overload is inevitable (H. Berghel, 1997). There are two basic paradigms for dealing with this information overload: filtering (Information filtering, 1992) information before it reaches the end‐user, and customizing the information after it arrives (Berleant & Berghel, 1994a, 1994b). Filtering remains primarily a server side activity since filtering at the client‐side would necessitate unnecessary downloads. Information customization is a client‐side activity designed to pick up where information filtering leaves off. In this article, we describe our vision of information customization and, along the way, chronicle the development of our proof‐of‐concept prototype, Cyberbrowser, for customizing information on the Web.

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Section: Information Customization Architecturesmentioning

confidence: 99%

Cyberbrowsing: Information customization on the Web

Berghel

Berleant

Foy

et al. 1999

J. Am. Soc. Inf. Sci.

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“…Regarding email more specifically, studies have consequently looked at the number of emails sent and received, the amount of time spent on emails, and people's perceptions about these numbers when observed (Sumecki et al, 2011). Researchers (e.g., Dabbish & Kraut, 2006;Ducheneaut & Bellotti, 2001;Ingham, 2003;Sumecki et al, 2011) agree that email overload occurs when users are overwhelmed by email (Sumecki et al, 2011), which one can attribute to constraints in the humans' cognitive capacity (Berghel, 1997;Heylighen, 2004;Kirsh, 2000). This stream of research has also identified several aspects that causes strain in humans other than the initial focus on the high number of emails (Dabbish & Kraut, 2006).…”

Section: Related Researchmentioning

confidence: 99%

“…Cognitive load theory (Sweller, 2010;Sweller et al, 2011;Sweller et al, 1998;Van Merriënboer & Sweller, 2005, 2010 suggests that the human brain's architecture does not enable it to process an unlimited amount of information; its working memory in particular is limited. The research on information overload propose that the constraints of human processing capability originates from this limit (Berghel, 1997;Heylighen, 2004;Kirsh, 2000). Cognitive load theory distinguishes between working memory and long-term memory.…”

Section: Theoretical Background and Hypothesis Developmentmentioning

confidence: 99%

Why Forwarded E-Mail Threads are Hard to Read: The E-Mail Format as an Antecedent of E-Mail Overload

Sobotta¹

2016

CAIS

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“…The enormous data can easily overwhelm people interested in analyzing the data for social science purposes [2,8]. Needless to say, the data contains valuable information.…”

Section: Www2008mentioning

confidence: 99%

A Generative Model for Statistical Determination of Information Content from Conversation Threads

Zhou

Magdon‐Ismail

Wallace

et al. 2008

Intelligence and Security Informatics

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We present a generative model for determining the information content of a message without analyzing the message content. Such a tool is useful for automated analysis of the vast contents of online communication which are extensively contaminated by uninformative, spam, and broadcast. Content analysis is not feasible in such a setting. We propose a purely statistical methodology to determine the information value of a message, which we denote the Information Content Factor (ICF). Underlying our methodology is the definition of information in a message as the message's ability to generate conversation. The generative nature of our model allows us to estimate the ICF of a message without prior information on the participants. We test our approach by applying it to separating spam/broadcast messages from non-spam/non-broadcast. Our algorithms achieve 94% accuracy when tested against a human classifier which analyzed content.

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Cyberspace 2000

Cited by 111 publications

References 0 publications

Cyberbrowsing: Information customization on the Web

Cyberbrowsing: Information customization on the Web

Why Forwarded E-Mail Threads are Hard to Read: The E-Mail Format as an Antecedent of E-Mail Overload

A Generative Model for Statistical Determination of Information Content from Conversation Threads

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