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Optimized Search Model using Sensing and DCG Approach

V. Geetha1 , V. Akilandeswari2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-04 , Page no. 198-203, Feb-2019

Online published on Feb 28, 2019

Copyright © V. Geetha, V. Akilandeswari . 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: V. Geetha, V. Akilandeswari, “Optimized Search Model using Sensing and DCG Approach,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.198-203, 2019.

MLA Style Citation: V. Geetha, V. Akilandeswari "Optimized Search Model using Sensing and DCG Approach." International Journal of Computer Sciences and Engineering 07.04 (2019): 198-203.

APA Style Citation: V. Geetha, V. Akilandeswari, (2019). Optimized Search Model using Sensing and DCG Approach. International Journal of Computer Sciences and Engineering, 07(04), 198-203.

BibTex Style Citation:
@article{Geetha_2019,
author = {V. Geetha, V. Akilandeswari},
title = {Optimized Search Model using Sensing and DCG Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {07},
Issue = {04},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {198-203},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=752},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=752
TI - Optimized Search Model using Sensing and DCG Approach
T2 - International Journal of Computer Sciences and Engineering
AU - V. Geetha, V. Akilandeswari
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 198-203
IS - 04
VL - 07
SN - 2347-2693
ER -

           

Abstract

Web search engine has long been the most important portal for ordinary people looking for useful information on the web. However, users may fail when search engines offer inappropriate results that do not meet their real intentions. Personalized Web Search (PWS) is a general category of searching for personalized search results, which is suitable for personal user needs. To protect user privacy in PWS based on profile, researchers need to consider two important and conflicting issues during search process. The first problem is that they try to improve the search quality with the application to customize the user profile. The existing methodology, to protect user privacy in PWS based on profile, researchers need to consider two important and conflicting issues during search process. The first problem is that they try to improve the search quality with the application to customize the user profile. In the proposed work, the information retrieval process may be split into two tasks, the retrieval of items and the ranking of the retrieved items. The retrieval is often performed using an inverted index, which contains of all the indexed terms. There are numerous advantages that can be taken from personalization content particularly to advertisers that need to build deals profit out of suggestions.

Key-Words / Index Term

Mobile, Privacy, Preserving, Sensing, System, Security

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