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Reseach Article

Personality Trait Generation using Web Search Query Log

by Deeshen Shah, Shreya Bastikar, Dhruven Vora, Bhagyashree Deokar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 10
Year of Publication: 2012
Authors: Deeshen Shah, Shreya Bastikar, Dhruven Vora, Bhagyashree Deokar
10.5120/6949-9468

Deeshen Shah, Shreya Bastikar, Dhruven Vora, Bhagyashree Deokar . Personality Trait Generation using Web Search Query Log. International Journal of Computer Applications. 46, 10 ( May 2012), 51-57. DOI=10.5120/6949-9468

@article{ 10.5120/6949-9468,
author = { Deeshen Shah, Shreya Bastikar, Dhruven Vora, Bhagyashree Deokar },
title = { Personality Trait Generation using Web Search Query Log },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 10 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 51-57 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number10/6949-9468/ },
doi = { 10.5120/6949-9468 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:25.931953+05:30
%A Deeshen Shah
%A Shreya Bastikar
%A Dhruven Vora
%A Bhagyashree Deokar
%T Personality Trait Generation using Web Search Query Log
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 10
%P 51-57
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The involvement of Internet technology into the day-to-day life of every individual is very much evident from the fact that the number of users accessing World Wide Web's massive source of information has been increasing exponentially. Access to such enormous amount of information is prominently facilitated with the help of Search queries which define the user's way of querying the massive source of information. Our paper aims at finding the personality traits of the user by analyzing his/her pattern of web access via search queries stored in web search query logs. User's pattern of access present in the web search query log contains user's trend of accessing information (majorly search queries) and his order and preferences of navigating through the Web. In our system, we use this information to create a user profile, which will then be refined and processed using Probabilistic approach whose results will infer the personality traits of the user. Each of these traits comprises of a set of categories that are assigned to the user based on the analysis and processing of count of these categories, associated with the user's search query log.

References
  1. Jingyu SunP, Xueli YuP, Xianhua LiP and Zhili Wu Research on, "Trust-Aware Recommender Model Based on Profile Similarity," 2008 International Symposium on Computational Intelligence and Design.
  2. Tadachika Ozonoand and Toramatsu Shintani, "Paper Classification for Recommendation on Research Support System Papits," IJCSNS International Journal of Computer Science and Network Security, VOL. 6 No. 5A, May 2006.
  3. Gokul Chittaranjan, Jan Blom, Daniel Gatica-Perez, "Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones".
  4. Jasmeen Kaur, Vishal Gupta, "Effective Approaches For Extraction of Keywords," IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 6, November 2010.
  5. Ying Wang, Weiru Liu, and David Bell, "A Concept Hierarchy based Ontology Mapping Approach".
Index Terms

Computer Science
Information Sciences

Keywords

Bayesian Classification Data Mining Trait Realization System User Classification