NDLI: Semantic Enriched Category Recommendation System for Large-Scale Emails Exploiting Big Data Processing Technologies

Content Provider	IEEE Xplore Digital Library
Author	Jae-Ik Kim Park, K.-W. Hyung-Rak Jo Dong-Ho Lee
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Hanyang Univ., Seoul, South Korea (Jae-Ik Kim; Park, K.-W.; Hyung-Rak Jo; Dong-Ho Lee)
Abstract	Nowadays, people who use the Internet have at least one email account. Email is important means of information sharing and communications. For example, email is used for business communications or business advertisements, and personal use, such as checking bills or keeping in touch with others. However, it has become difficult to manage email as the amount of email usage increases. In this paper, we propose a semantic enriched category recommendation system for large-scale emails exploiting big data technologies. First of all, an email pre-processing process is performed. And then, through Latent Dirichlet Allocation (LDA) algorithm from Mahout the email contents in distributed server environment are clustered. A word representing the cluster, the category, from extracted cluster should determine. That way, the semantic relationships of cluster inner words analyze using the Flickr. Finally, the semantic enriched category is recommended to user.
Starting Page	642
Ending Page	643
File Size	410008
Page Count	2
File Format	PDF
ISSN	07303157
e-ISBN	9781467365642
DOI	10.1109/COMPSAC.2015.96
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-01
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electronic mail Servers Semantics Clustering algorithms Big data Distributed databases Systems architecture LDA algorithm big data distributed server environment email clustering semantic categorizing
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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