Volume & Issue no: Volume 4, Issue 3, May - June 2015
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Title: |
Focusing User Modeling For Age Specific Differences |
Author Name: |
Prajakta Shitole, Mrs. M. A. Potey |
Abstract: |
Abstract
When personalization and user satisfaction are the motives,
demographic attributes play an important role. Users
demographic attributes or demographics include traits such
as age, gender, race, occupation, political and religious views
etc. There are differences in search and browsing behavior of
a user based on these attributes. We have focused on these
differences based on users age. The motivation to do so was
to reduce the number of difficulties faced by users from
different age groups, and to provide the most relevant result
to the users query. In this paper, we offer a solution to this
problem by showing how user age can be efficiently and
accurately inferred based on their search query. Our
approach uses Solr search engine in combination with the
Bayesian classifier to predict the age of the user based on the
query entered and the sequence of actions performed on the
web.
Keywords:- User modeling, demographics, User
Behavior, Bayesian Classifier, age prediction. |
Cite this article: |
Prajakta Shitole, Mrs. M. A. Potey , "
Focusing User Modeling For Age Specific Differences" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 3, May - June 2015 , pp.
238-244 , ISSN 2278-6856.
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