NDLI: Personal preferences analysis of user interaction based on social networks

Content Provider	IEEE Xplore Digital Library
Author	Cheng-Hung Tsai Han-Wen Liu Tsun Ku Wu-Fan Chien
Copyright Year	2015
Description	Author affiliation: Inst. for Inf. Ind., Innovative DigiTech-Enabled Applic. & Service Inst., Taipei, Taiwan (Cheng-Hung Tsai; Han-Wen Liu; Tsun Ku; Wu-Fan Chien)
Abstract	Under the current situation the booming social networks, users interact between people with the way of social networks platforms (such as: press like, join fans pages and groups), and for these interactive information on social platform can fully represent that oneself is interested in the content of information sources in different social group. Therefore, how to collect user behavior patterns (Users Behavior) generated by social interaction, and then analyze and understand user preferences by these interactive data would be the purpose to discuss and to do the research of the paper. Furthermore, for many brand enterprises, it is important to know how to understand individual preferences, because when you know the individual preference information, it can carry out personal preference for advertising, product recommendation, article recommended...and other diversified personal social service, which can increase the click rate and exposure of the products, better close to the needs of the user's life. Therefore, with the above through social science and technology development trend arising from current social phenomenon, research of this paper, mainly expectations for analysis by the data of user's personal interaction on the social network, such as: user clicked fan page, user press like article, user share data etc. three kinds of personal information for personal preference analysis, and from this huge amount of personal data to find out corresponding diverse group for personal preference category. We can by personal preference information for diversify personal advertising, product recommendation and other services. The paper at last through the actual business verification, the research can improve website browsing pages growth 8%, site bounce rate dropped 11%, commodities click through rate growth 36%, more fully represents the results of this research fit the use's preference.
Starting Page	1
Ending Page	7
File Size	1010391
Page Count	7
File Format	PDF
e-ISBN	9781467393546
DOI	10.1109/CCCS.2015.7374148
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-04
Publisher Place	Mauritius
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Photography Fans Presses Social Networks Social Personal Analysis Cost Per Click Personal of Interest analysis Complexity theory Planning Facebook
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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