Presentation	1999/7/22 Personalized E-mail Ranking Based on Communication History and Information Extraction Takaaki HASEGAWA,
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Abstract(in Japanese)	(See Japanese page)
Abstract(in English)	A problem in e-mail communication is that users find it difficult to quickly discern the really important e-mail messages from among the many e-mail messages received. Accordingly, a method for assigning priority to each message received is proposed that automatically extracts the message's features from the message and forms the personal profile of each user. The priority of a message is calculated as the weighted sum of these features using the weights of each feature determined by multiple-regression analysis. An experiment demonstrates that the proposed method can be put to practical use such as ranking or filtering the many messages received.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	personalization / information extraction / e-mail / priority / ranking / filtering
Paper #	NLC99-8
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Conference Information
Committee	NLC
Conference Date	1999/7/22(1days)
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Paper Information
Registration To	Natural Language Understanding and Models of Communication (NLC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Personalized E-mail Ranking Based on Communication History and Information Extraction
Sub Title (in English)
Keyword(1)	personalization
Keyword(2)	information extraction
Keyword(3)	e-mail
Keyword(4)	priority
Keyword(5)	ranking
Keyword(6)	filtering
1st Author's Name	Takaaki HASEGAWA
1st Author's Affiliation	NTT Cyber Space Labs.()
Date	1999/7/22
Paper #	NLC99-8
Volume (vol)	vol.99
Number (no)	227
Page	pp.pp.-
#Pages	8
Date of Issue