Document (#29560)

Author
Lakshminarayana, S.
Title
Quality search content : a reality with next generation browsers
Source
Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1223
Year
2007
Content
"Sir, The Internet has become the means to obtain information or to transact business. Most of the research, including recent articles by Declan Butler (2006) and Kevin Yager (2006), note a demand for quality search content from the Web. User interactions with the Internet are performed through a Web browser. An average user usually browses through, at the most, thirty to forty links out of the total delivery set, which can be quite large, from a search engine. In the early 1990s, browsers were textual, with no graphical presentations available. Subsequently, browsers could display graphic content. Some browsers can view content in the style and font desired by the user, but with limited operability. However, these browsers do not inherit any intelligence from technological research to employ as an expert system for the user. In addition, search engines have been left on their own to grow with technology. On the other hand, using the same technology has complicated Web content. This may lead to the best search engines rarely doing poorly, and the worst ones rarely doing well, but any result is possible (Salganik, Dodds, & Watts, 2006). Active research is being done with search engines to address the abundance of technological development for quality delivery of content. Some search engines look at the country, language, browser technical details (e.g., version, compatibility), and other factors before delivery. However the missing factor is user characteristics.
Search engines now need to concentrate on addressing personalized searches by collecting more information on user habits, archive search information, style of search, location, educational and other background information before delivery of content. To satisfy a particular user, search engines need to generate a database of user characteristics (e.g., country, level of understanding of search technology, previous searches, applications he/she may use after the search, utility of the information, and the information life cycle), so that it can improve the quality of the content. More categorization of these characteristics will help delivery of appropriately relevant content. At present, browsers do not discriminate among users based upon any of these characteristics to improve content delivery. These additional features, if present in the browser, would form a good interactive interface between the World Wide Web and the user in the near future. Therefore, browser development should take the direction of technical integration with user characteristics and the constant updating of such information by a learning process associated with the user. This could improve the relevance of the retrieved content, i.e., the result set. The more a user browses, the more a browser would learn about that user. The next generation of browsers should have the capacity for intelligence to address issues related to content filtering, address blocking, user friendliness, and various levels of understanding. These browsers should also possess data mining tools so that the search engines could better facilitate user requirements. In such contexts, the browser would act as a self-reviewed catalyst to accelerate the delivery of quality content."
Theme
Suchmaschinen

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