Aimed information quantity in text. (24th September 2014)

• Record Type: Journal Article
• Authors: Chen, Jingqiang; Zhuge, Hai; Orgun, Mehmet A.; Orgun, Atilla Elçi; Pieprzyk, Josef; Chefranov, Alexander; Shankaran, Rajan; Wang, Huaxiong; Zhuge, Hai
• Is Part Of: Concurrency and computation. Volume 27:Number 15(2015:Oct.)
• Page Start: 3982
• Page End: 4000
• Publication Date: 2014-09-24
• Subjects: Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.3373
• Languages: English
• ISSNs: 1532-0626

Abstract

<abstract abstract-type="main"> <title>Summary</title> <p>People often read with aims and reading process significantly influences understanding. This paper defines a new measure of information in text named Aimed Information Quantity in Text by simulating human reading process with reading aims. Aimed Information Quantity in Text reflects not only human memory of words but also relevancy between words emerging in aimed reading process. We demonstrate its application in recommendation. Copyright © 2014 John Wiley &amp; Sons, Ltd.</p> </abstract>