Extraction of Web Site Evaluation Criteria and Automatic Evaluation

Author(s):  
Peng Li ◽  
◽  
Seiji Yamada ◽  

This paper proposes an automated web site evaluation using machine learning to extract evaluation criteria from existing evaluation data. Web site evaluation is a significant task because evaluated web sites provide information useful to users in estimating sites validation and popularity. Although many practical approaches have been taken to present possible measuring sticks for web sites, their evaluation criteria are manually determined. We developed a method to obtain evaluation criteria automatically and rank web sites with the learned classifier. Evaluation criteria are discriminant functions learned from a set of ranking information and evaluation features collected automatically by web robots. Experiments confirmed the effectiveness of our approach and its potential in high-quality web site evaluation.

2011 ◽  
pp. 1374-1387
Author(s):  
A. Malizia ◽  
A De Angeli ◽  
S. Levialdi ◽  
I. Aedo Cuevas

The User Experience (UX) is a crucial factor for designing and enhancing the user satisfaction when interacting with a computational tool or with a system. Thus, measuring the UX can be very effective when designing or updating a Web site. Currently, there are many Web sites that rely on collaborative tagging: such systems allow users to add labels (tags) for categorizing contents. In this chapter the authors present a set of techniques for detecting the user experience through Collaborative Tagging Systems and we present an example on how to apply the approach for a Web site evaluation. This chapter highlights the potential use of collaborative tagging systems for measuring users’ satisfaction and discusses the future implications of this approach as compared to traditional evaluation tools, such as questionnaires, or interviews.


Author(s):  
S. Yashaswini ◽  
S. S. Shylaja

Performance metrics give us an indication of which model is better for which task. Researchers attempt to apply machine learning and deep learning models to measure the performance of models through cost function or evaluation criteria like Mean square error (MSE) for regression, accuracy, and f1-score for classification tasks Whereas in NLP performance measurement is a complex due variation of ground truth and results obta.


Author(s):  
A. Malizia ◽  
A. De Angeli ◽  
S. Levialdi ◽  
I. Aedo Cuevas

The User Experience (UX) is a crucial factor for designing and enhancing the user satisfaction when interacting with a computational tool or with a system. Thus, measuring the UX can be very effective when designing or updating a Web site. Currently, there are many Web sites that rely on collaborative tagging: such systems allow users to add labels (tags) for categorizing contents. In this chapter the authors present a set of techniques for detecting the user experience through Collaborative Tagging Systems and we present an example on how to apply the approach for a Web site evaluation. This chapter highlights the potential use of collaborative tagging systems for measuring users’ satisfaction and discusses the future implications of this approach as compared to traditional evaluation tools, such as questionnaires, or interviews.


Author(s):  
Kathleen P. King

Thinkquest is a worldwide competition funded by the Oracle Foundation that focuses student efforts on project-based learning. Each year students around the world assemble in teams under the guidance of a coach to identify a project and build a Web site to present that topic. In 1996, Oracle Foundation (http://www.oraclefoundation. org/) began an annual competition that by 2006 had grown to include 30,000 participants and an online library of resulting Web sites, the Thinkquest Library, and projects numbering more than 6,000 (Thinkquest, 2007a, para 2). The age of participating students spans ages 9-19. The team has to have a coach who then enrolls the team through the Thinkquest Web site in order that they are up to date with the requirements, submission process, deadlines, and evaluation criteria for the competition.


Author(s):  
Aayush Shrivastava ◽  
Gautam Gupta ◽  
Pratap K.J. Mohapatra

The objective of this chapter is to study the features of reverse auction sites. Twenty-five features of 38 reverse auction sites have been studied. The features are divided into core and complementary features. These sites are broadly divided into B2B/B2G and B2C/C2C groups. We show the differences that exist in the site design of these two groups insofar as the inclusion of these features are concerned. We derive weights, signifying the importance which the site designs have assigned to various complementary features. These weights are used in two ways: to provide benchmarks to evaluate the design of the Web sites, and to find out the site evaluation index of any Web site for comparison with the benchmark. Using their complementary features, we derive weights for the features and develop site evaluation indexes for them.


Author(s):  
Gabriele R. Theuner ◽  
Stefan Steinmetz

This paper assesses and analyzes ways Chinese and European people view web sites designed in English and Chinese languages. The results suggest some similarities and differences based on different cultures.The Chinese market is gaining more and more importance in the international business arena. Due to the strong Chinese Internet growth rates increasingly more global enterprises use the Internet for e-Commerce, market penetration and expansion, and to communicate information in China. But the success of online communication with customers in the Chinese market is in many cases not as effective as planned, because of cultural differences between Chinese and European people. Specific reading behavior, different cultural color definitions, diverse meanings of symbols or pictures as well as differing Chinese attitudes and values have to be considered when designing web sites for China.To gain more knowledge about the needs, tastes and behavior styles from Chinese Internet users, an experiment was designed with the following hypothesis: Chinese and Europeans differ concerning web site evaluation and recognition due to culture. Web sites designed for Chinese (Mercedes, Sony Ericsson, and China Eastern) were tested using an Eye Tracking camera.Observation, using an Eye Tracking camera, combined with a survey, showed that Chinese users share only preferences like clarity and comprehensibility in web site quality with German users. Significant differences can be named concerning amount of information, design/color design and terminology. During the tests it also became clear that the order in which the Chinese users look at elements (navigation bar, text, pictures, etc.), and the tested recognition is not identical to European users.


Author(s):  
Sanjeev Swami ◽  
Ram Krishna

This paper addresses the role of consumer involvement in Web site evaluation. We investigate the factors that lead the consumer to be involved with one site more than another. Based on previous research, we use the psychological constructs, information-seeking tendency, and focused attention (Baumgartner & Steenkamp, 1996; Novak, Hoffman, & Yung, 2000) to define the “information profile” of a consumer; and sensation-seeking tendency and mood variability to define the “entertainment profile” of the consumer (Eliashberg & Sawhney, 1994). The information and entertainment factors are hypothesized to affect consumers’ utilitarian (need, value) and hedonic (interest, appeal) evaluations of involvement, respectively, and ultimately, the affect toward the Web site (Holbrook & Hirschman, 1982; Mano & Oliver, 1993; Zaichkowsky, 1985, 1994). We examine these evaluations for various Web sites, whose respective information andentertainment profiles are defined using elements such as informativeness, organization, and entertainment properties (Chen & Wells, 1999). The Web site properties are hypothesized to moderate the relationships between individuals’ profiles and their evaluations of involvement and affect. We conducted our study using three surveys: (1) collection of data for classifying Web sites on information and entertainment properties, (2) collection of data for measurement of involvement, and (3) collection of data for time-based measurement of involvement. Our results show that the consumer’s information and entertainment profiles significantly affect utilitarian and hedonic evaluations of involvement. We also find positive and significant relationships between the evaluations of involvement and affect toward the Web site. Further, we find that the Web site’s information-specific properties moderate the relationship between information profile of the consumer and his/her utilitarian evaluation of involvement. A set of results from representative time-based evaluations of involvement shows that the respective elements of evaluation of involvement show increase/decrease over time if there is a match/mismatch between the user and site properties.


Author(s):  
Jiaqin Yang

This chapter is an attempt to investigate the current issues and development of the application of egovernment in promoting local tourism industry for small and local cities and counties throughout the United States. The primary data for this study are collected through a comprehensive Web site evaluation. The objectives of this chapter are: (1) to examine the use of online tourism promotion implemented in local city and county Web sites across the United States, (2) to identify major issues and challenges for local governments in promoting local tourism online, and (3) to discuss the managerial implications for future research. The data collected from this study show that there is an emerging need for improvement in promoting local tourism through e-government application.


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