Web Site Personalization By Learning User Profile

Essay by kiran_rao_infoUniversity, Ph.D.A+, November 2004

download word file, 26 pages 5.0 1 reviews

Downloaded 110 times

Abstract In this paper we discuss a technique for web site personalization. Connectivity analysis

has been shown to be useful in identifying high quality web pages within a topic or domain

specific graph of hyperlinked documents. The essence of our approach is to augment a previous

connectivity analysis with content analysis. We present an agent which assists the user when he

browses and distills a personalized sub graph of the website based on his user profile.

1 Introduction

The Web is full of information and resources. The problem is that people have to spend a lot of

time and effort to navigate but may not find interesting personalized information [23]. In this

project we present a personal agent that assists a user when he browses. Adaptive web pages help

the user in finding relevant information by tailoring their content and layout specific to the

visiting user. Most web sites are designed with a "One size fits all" philosophy.

The web site

designer designs a web site containing a particular user model in mind and then creates the

content accordingly. However the visitors may use the site in ways unanticipated by the site

designer. For example, a site that contains a broad array of information such as a travel

information site may be structured with as deep hierarchy according to countries, historical sites,

tourist sites etc. However, visitors may follow only a few paths through this site, and the deep

hierarchy is needlessly burdensome. Also a user may like to visit the pages for all sea resorts

destinations, which require altering the clustering of documents while not altering the content of

each page.

Another motivation to develop such a system is for the users with poor Internet connectivity.

Search engines often return top-level home pages, which do not have much...