Personalized websites for mobile devices using dynamic cascading style sheets

Stormer, Henrik

doi:10.1108/17440080580000085

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…For eSarine, approach (3) was used, which can be seen by comparing the picture sizes of figures 2 and 4. This approach can be extended by choosing the elements to show or hide using personalization techniques [13].…”

Section: Figure 2 the Non-adapted Pages On The Siemens (Left) And Qtmentioning

confidence: 99%

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Exploring Solutions for a MobileWeb

Stormer

2006

The 8th IEEE International Conference on E-Commerce Technology and the 3rd IEEE International Conference on Enterprise Computin

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With the rise of mobile devices like cell phones and personal digital assistants (PDAs) in the last years, the demand for specialized mobile solutions grows. One key application for mobile devices is the Web service. Currently, almost all Web sites are designed for stationary computers and cannot be shown directly on mobile devices because of their limitations. These include a smaller display size, delicate data input facilities and smaller bandwidth compared to stationary devices. To overcome the problems and enable Web sites also for mobile devices, a number of different approaches exist. This paper compares different ways to adapt existing web sites for mobile devices. The following three methods are generally used today: Rewrite the page, use an automatic generator to create the page, or try to use the same page for stationary and mobile devices. This paper illustrates each method by adapting two pages of the electronic shop software eSarine. Afterwards, the methods are compared using different parameters like the complexity of the approach or the ease of integration in existing systems.

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Section: Figure 2 the Non-adapted Pages On The Siemens (Left) And Qtmentioning

confidence: 99%

“…This information is used by all approaches that try to generate the pages dynamically. Two examples are customization [5] or the CSS approach (solution 2) [13].…”

Section: Introductionmentioning

confidence: 99%

Exploring Solutions for a MobileWeb

Stormer

2006

The 8th IEEE International Conference on E-Commerce Technology and the 3rd IEEE International Conference on Enterprise Computin

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“…Stormer proposed an approach of semi‐automated web page generation for mobile devices (Stormer, 2005). Since adapting arbitrary web pages to mobile devices is usually an elaborate process, it generates personalized mobile device‐compatible pages based on the original HTML pages by using dynamically generated cascading style sheets (CSS).…”

Section: Related Workmentioning

confidence: 99%

Web browser for children using bubble metaphor

Iwata

Arase²,

Hara³

et al. 2010

International Journal of Web Information Systems

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PurposeIt has become common for children to browse web pages. However, there is no web browser that takes into account children's characteristics on information acquisition. Therefore, even though such general pages have a variety and detailed information, children cannot effectively use the internet with current web browsers, e.g. they have difficulty in understanding the contents and easily get bored when browsing general pages. The purpose of this paper is to propose a children‐oriented web browser, which aims to keep children's interest on pages and help them understand the contents of the pages.Design/methodology/approachThe paper designed and implemented a web browser for children using a bubble metaphor, which converts general pages into a children‐friendly presentation. The browser is displayed in an undersea scene and presents contents of a web page in bubbles of different sizes, speeds, and colors. Furthermore, it presents the details of the content in a picture book style in a way that children can easily understand.FindingsThe paper conducts a user experiment with 13 children between four and ten years of age. The experimental results show that the browser changes general pages into a children‐friendly presentation and make a web browsing fun for children.Originality/valueTo the best of the authors' knowledge, this is the first investigation into the web browsing characteristics of children. The findings may be useful to researchers who are interested in the relationships between children and the web, as well as information acquisition of children.

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“…Once the user navigational behaviors are effectively characterized, it provides benefits for further Web applications such as facilitation and improvement of Web service quality for both Web-based organizations and for end-users. As a result, Web usage mining recently has become active topic for the researcher from database management, artificial intelligence, and information systems, etc (Buchner & Mulvenna, 1998;Cohen, Krishnamurthy, & Rexford, 1998;Lieberman, 1995;Ngu & Sitehelper, 1997;Perkowitz & Etzioni, 1998;Stormer, 2005;Zhou, Hui, & Fong, 2005). Meanwhile, with the benefits of great progress in data mining research, many data mining techniques such as clustering (Han,, Karypis, Kumar & Mobasher, 1998;Mobasher et al, 2002;Perkowitz & Etzioni, 1998), association rule mining (Agarwal & Srikant, 1994;Agarwal, Aggarwal, & Prasad, 1999), and sequential pattern mining (Agarwal & Srikant, 1995) are adopted widely to improve the usability and scalability of Web mining techniques.…”

Section: Related Workmentioning

confidence: 99%

SeqPAM

Kumar

Bapi

Krishna

2007

International Journal of Data Warehousing and Mining

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With the growth in the number of Web users and necessity for making information available on the Web, the problem of Web personalization has become very critical and popular. Developers are trying to customize a Web site to the needs of specific users with the help of knowledge acquired from user navigational behavior. Since user page visits are intrinsically sequential in nature, efficient clustering algorithms for sequential data are needed. In this chapter, we introduce a similarity preserving function called sequence and set similarity measure S3M that captures both the order of occurrence of page visits as well as the content of pages. We conducted pilot experiments comparing the results of PAM, a standard clustering algorithm, with two similarity measures: Cosine and S3M. The goodness of the clusters resulting from both the measures was computed using a cluster validation technique based on average levensthein distance. Results on pilot dataset established the effectiveness of S3M for sequential data. Based on these results, we proposed a new clustering algorithm, SeqPAM for clustering sequential data. We tested the new algorithm on two datasets namely, cti and msnbc datasets. We provided recommendations for Web personalization based on the clusters obtained from SeqPAM for msnbc dataset.

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Personalized websites for mobile devices using dynamic cascading style sheets

Cited by 9 publications

References 9 publications

Exploring Solutions for a MobileWeb

Exploring Solutions for a MobileWeb

Web browser for children using bubble metaphor

SeqPAM

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