Premium
Aimed information quantity in text
Author(s) -
Chen Jingqiang,
Zhuge Hai
Publication year - 2015
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3373
Subject(s) - reading (process) , process (computing) , computer science , measure (data warehouse) , information retrieval , natural language processing , data science , artificial intelligence , linguistics , data mining , philosophy , operating system
Summary 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 & Sons, Ltd.