1CP_RT_J026 Facilitating Effective User Navigation through backtracking

ABSTRACT:

Designing well-structured websites to facilitate effective user navigation has long been a challenge. A primary reason is that the web developers’ understanding of how a website should be structured can be considerably different from that of the users. While various methods have been proposed to relink webpages to improve navigability using user navigation data, the completely reorganized new structure can be highly unpredictable, and the cost of disorienting users after the changes remains unanalyzed. This paper addresses how to improve a website without introducing substantial changes. Specifically, we propose a mathematical programming model to improve the user navigation on a website while minimizing alterations to its current structure. Results from extensive tests conducted on a publicly available real data set indicate that our model not only significantly improves the user navigation with very few changes, but also can be effectively solved. We have also tested the model on large synthetic data sets to demonstrate that it scales up very well. In addition, we define two evaluation metrics and use them to assess the performance of the improved website using the real data set. Evaluation results confirm that the user navigation on the improved structure is indeed greatly enhanced. More interestingly, we find that heavily disoriented users are more likely to benefit from the improved structure than the less disoriented users.

EXISTING SYSTEM:

Previous studies on website has focused on a variety of issues, such as understanding web structures, finding relevant pages of a given page, mining informative structure of a news website, and extracting template from web pages.

A primary cause of poor website design is that the web developers’ understanding of how a website should be structured can be considerably different from those of the users. Such differences result in cases where users cannot easily locate the desired information in a website. This problem is difficult to avoid because when creating a website, web developers may not have a clear understanding of users’ preferences and can only organize pages based on their own judgments. However, the measure of website effectiveness should be the satisfaction of the users rather than that of the developers. Thus, Web pages should be organized in a way that generally matches the user’s model of how pages should be organized.

DISADVANTAGES OF EXISTING SYSTEM:

Despite the heavy and increasing investments in website design, it is still revealed, however, that finding desired information in a website is not easy and designing effective websites is not a trivial task.

PROPOSED SYSTEM:

We propose a mathematical programming model to improve the user navigation on a website while minimizing alterations to its current structure. Results from extensive tests conducted on a publicly available real data set indicate that our model not only significantly improves the user navigation with very few changes, but also can be effectively solved. In addition, we define two evaluation metrics and use them to assess the performance of the improved website using the real data set. Evaluation results confirm that the user navigation on the improved structure is indeed greatly enhanced. More interestingly, we find that heavily disoriented users are more likely to benefit from the improved structure than the less disoriented users.

ADVANTAGES OF PROPOSED SYSTEM:

Our work, on the other hand, is closely related to the literature that examines how to improve website navigability through the use of user navigation data.

In this paper, we are concerned primarily with transformation approaches. The literature considering transformations approaches mainly focuses on developing methods to completely reorganize the link structure of a website.

MODULES

1. Web Personalization
2.  Web Transformation
3.  Maximal Forward Reference.
4. Mini Sessions.
5. Out-Degree Threshold.

MODULES DESCRIPTION:

Web personalization 

First, we explore the problem of improving user navigation on a website with minimal changes to the current structure. In the first module, we create admin entity. Where, the admin can add the URL address and the description of the site. The URL with the description along with type is added. After adding the details, it’s updated and then in the user entity, the user can type the URL and retrieve the content. There we can also see the web personalization type also.

Web transformation 

Web transformation, on the other hand, involves changing the structure of a website to facilitate the navigation for a large set of users instead of personalizing pages for individual users. An approach to reorganize web pages so as to provide users with their desired information in fewer clicks. However, this approach considers only local structures in a website rather than the site as a whole, so the new structure may not be necessarily optimal. A heuristic method based on simulated annealing to re-link web pages to improve navigability. This method makes use of the aggregate user preference data and can be used to improve the link structure in websites for both wired and wireless devices.

Maximal Forward Reference   

We use backtracks to identify the paths that a user has traversed, where a backtrack is defined as a user’s revisit to a previously browsed page. The intuition is that users will backtrack if they do not find the page where they expect it. Thus, a path is defined as a sequence of pages visited by a user without backtracking, a concept that is similar to the maximal forward reference defined in Chen et al. Essentially, each backtracking point is the end of a path. Hence, the more paths a user has traversed to reach the target, the more discrepant the site structure is from the user’s expectation.

Mini Sessions

Recall that a mini session is relevant only if its length is larger than the corresponding path threshold. Consequently, only relevant mini sessions need to be considered for improvement and this leads to a large number of irrelevant mini sessions (denoted as TI) being eliminated from consideration in our MP model.

Out-Degree Threshold

Web pages can be generally classified into two categories: index pages and content pages. An index page is designed to help users better navigate and could include many links, while a content page contains information users are interested in and should not have many links. Thus, the out-degree threshold for a page is highly dependent on the purpose of the page and the website. Typically, the out degree threshold for index pages should be larger than that for content pages.

SYSTEM CONFIGURATION:-

HARDWARE CONFIGURATION:-

    Processor                   -        Pentium –IV

Speed                        -       1.1 Ghz

RAM                        -       256 MB(min)

Hard Disk                 -       20 GB

Key Board                -       Standard Windows Keyboard

Mouse                       -       Two or Three Button Mouse

Monitor                     -       SVGA

SOFTWARE CONFIGURATION:-

Operating System                         : Windows XP

     Programming Language               : JAVA/J2EE.

     Java Version                                 : JDK 1.6 & above.

     Database                                       : MYSQL

CONTACT US

1 CRORE PROJECTS

Door No: 214/215,2nd Floor,

No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,

Tamin Nadu, INDIA - 600 026

Email id: 1croreprojects@gmail.com

website:1croreprojects.com

Phone : +91 97518 00789 / +91 72999 51536