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Web Acceptance Mining Based Web Advocacy Systems-A Review

P. Manivel1

Section:Review Paper, Product Type: Journal Paper
Volume-07 , Issue-02 , Page no. 102-106, Jan-2019

Online published on Jan 31, 2019

Copyright © P. Manivel . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: P. Manivel, “Web Acceptance Mining Based Web Advocacy Systems-A Review,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.02, pp.102-106, 2019.

MLA Style Citation: P. Manivel "Web Acceptance Mining Based Web Advocacy Systems-A Review." International Journal of Computer Sciences and Engineering 07.02 (2019): 102-106.

APA Style Citation: P. Manivel, (2019). Web Acceptance Mining Based Web Advocacy Systems-A Review. International Journal of Computer Sciences and Engineering, 07(02), 102-106.

BibTex Style Citation:
@article{Manivel_2019,
author = {P. Manivel},
title = {Web Acceptance Mining Based Web Advocacy Systems-A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {07},
Issue = {02},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {102-106},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=656},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=656
TI - Web Acceptance Mining Based Web Advocacy Systems-A Review
T2 - International Journal of Computer Sciences and Engineering
AU - P. Manivel
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 102-106
IS - 02
VL - 07
SN - 2347-2693
ER -

           

Abstract

Data mining for Web intelligence leads to formulate the Web a richer, friendlier, and more intelligent resource for users sharing and exploring. Web acceptance mining has become the accountable of all-embracing research, as its abeyant for Web-based alone services, anticipation of user abreast approaching intentions, adaptive Web sites, and chump profiling are recognized. In recent times, an array of advocacy systems to adumbrate user approaching movements through Web acceptance mining accept been proposed. Nevertheless, the superior of recommendations in the accepted systems to adumbrate user approaching requests in an accurate website is beneath satisfaction. Diverse efforts accept been fabricated to abode the botheration of advice afflict on the Internet. Web advocacy systems based on web acceptance mining try to abundance users behavior patterns from web admission logs, and acclaim pages to the online user by analogous the user’s browsing behavior with the mined actual behavior patterns.

Key-Words / Index Term

Web Acceptance Mining, Web advocacy, Web Log, Web Personalization

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