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Discrimination of pop‐up conditions according to PC usage situation for dissemination of business information
Author(s) -
Matsumoto Toshiko,
Onoyama Takashi,
Akiyoshi Masanori
Publication year - 2012
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11401
Subject(s) - recall rate , computer science , recall , business information , precision and recall , information retrieval , artificial intelligence , business , marketing , psychology , cognitive psychology
Recently, the use of digital documents in companies has been increasing rapidly in number and must be assured. Pop‐up of business information according to the PC usage situation can achieve this goal. Two functions are required for it: One is to correctly discriminate the pop‐up conditions from the content of business‐use applications, and the other is to select suppression keywords from incorrect pop‐up documents. The suppression keywords should improve the true negative rate without a drop in recall. Based on observation of typical phrases and increases of the frequencies of characteristic phrases in the content of business‐use applications, we select suppression keywords according to their frequency in positive and negative cases and their occurrence in feedback documents. Our evaluation using three kinds of business information shows that the proposed method can achieve both a high true negative rate and a high recall, and can correctly discriminate pop‐up conditions. © 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 95(10): 17–26, 2012; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/ecj.11401