Web Structure Reorganization to Improve Web Navigation Efficiency

The study aims to improve Web navigation efficiency by reorganizing Web structure. Navigation efficiency is defined mathematically for both navigation with / without target destination pages, e.g. for experienced and new users. To help experienced users not to lose their orientation, structure stability is taken into consideration. Stability constraint can also help website designers control the maintaining effort of Web. This study proposes a mathematical programming method to reorganize Web structure in order to achieve better navigation efficiency. Designer can specify the user requirements and how stable the website structure should be. An e-banking example is given to illustrate how the method works in scenarios where user surfs with target destination. This study has the advantage of assessing and improving navigation efficiency and of relieving the designer of tedious chore to modify the structure in transformation

Reorganization of Links to Improve User Navigation

Website can be easily design but to efficient user navigation is not a easy task since user behavior is keep changing and developer view is quite different from what user wants, so to improve navigation one way is reorganization of website structure. For reorganization here proposed strategy is farthest first traversal clustering algorithm perform clustering on two numeric parameters and for finding frequent traversal path of user Apriori algorithm is used. Our aim is to perform reorganization with fewer changes in website structure

Graph Transformation Based Guidance for Web Navigation

With growing information volume and diverse user preferences on the web, the performance of web information retrieval has become a critical issue. Web navigation is dramatically influenced by the organizations of web contents. Hence, useful navigation guidance can considerably accelerate the information retrieval process. In this paper, web navigation is formulated as a Directed Group Steiner Forest (DGSF) problem in line graph representation of the website. A heuristic algorithm is proposed to tackle the DGSF problem and attain the suboptimal solution in polynomial time. Simulations are conducted to compare the mean searching time for the proposed DGSF-based navigation guidance and other approaches. The results suggest that the DGSF-based navigation guidance can significantly reduce the mean searching time, especially when the number of web pages is large while the number of destination pages is moderate. The discussion is also made for extending the model to take into account the websites owner’s interests and other concerns as well

Impact of website navigation on user experience

Project Work presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Digital Marketing and AnalyticsThe online interactions between consumers and brands determined the need for companies to have a solid infrastructure to support their users. Furthermore, it is crucial to have a good web navigation system to guarantee that consumers can find, access, and use the information that is displayed within it. But, for customers to be able to navigate successfully, companies must consider the website interface as well. The happy marriage of website architecture and interface creates a cohesive user experience. The present study aims to investigate the effect that website navigation on an e-commerce website. Specifically, in how it can impact Key Performance Indicators such as Conversion Rate, Product Wall View Rate, and Percentage to Product Details Page. The company's subject of study is Company X, specifically Company X’s website. Furthermore, we developed a new main navigation and left-hand navigation design with the aim of improving the User Interface and Experience. We also were able to improve the consumers capacity to accomplish tasks more effectively. eThe model conducted a mixed method approach

Improving Web Site Structure to Facilitate Effective User Navigation

Web sites are most effective when they meet both the contents and usability needs of their users. It is revealed, however, that designing usable Web sites is not a trivial task. A primary reason is that Web developers’ perceptions and knowledge can be very different from those of the target users. Such differences result in cases in which users cannot easily locate the relevant information in a Web site. In this paper, we propose a math programming model to improve the navigation effectiveness of a Web site while preserving its original structure whenever possible. Our approach minimizes unnecessary changes to the present structure of a Web site and hence can be applied for Web site maintenance on a regular basis. Our test on a real Web site shows that the approach can provide significant improvements over the Web site structure by introducing only a small number of new links

The Effects of Website Personalization on User Intention to Return through Cognitive Beliefs and Affective Reactions

This study developed a fine-grained, multidimensional view of perceived personalization of website design based on and extending upon previous research. Moreover, we have drawn from the vast body of research on elaboration likelihood model, the technology acceptance model (TAM), and flow theory to (i) develop an integrated model of the stimuli of personalization, and the alternative modes of influence processes which lead to the intention to continue to use a website (i.e. user intention to return); (ii) empirically test the integrated model (iii) suggest a personalization model that enhances the positive environmental and psychological determinants of user intention to return. In particular, we investigate the role of information personalization, presentation personalization, and navigation personalization in influencing the cognitive and affective determinants of the intention to continue to use a website. Our findings have important implications for Information Systems (IS) research and managerial decision making on personalization implementation issues in website design

Research on Knowledge Organization Process Based on Knowledge Unit

Data is exploding in the age of big data, and the users’ requirements for knowledge organization level are increasing day by day. Aimed to the characteristics of problem and the data to solve the problem which are multiple, redundant, complex, chaotic and new, the traditional first organizing mode could not solve the users’ problems effectively. Therefore, in this paper question driven construct the knowledge organization from the macro level, with the help of knowledge granularity and knowledge unit to design its process, and knowledge is stored on knowledge warehouse through the navigation of question to acquire, order, associate, regenerate and apply the knowledge unit. According to the different types of problems, the knowledge unit network is built oriented to the question based on node of knowledge unit and tie of knowledge relation. Mine the evolution rule from question to knowledge unit and question answered, promote the generation of the new knowledge unit. Ultimately knowledge service is provided for the application of water information efficiently and actively, with promoting the sharing, innovation and application of knowledge