Search (1 results, page 1 of 1)

0.015593104 = product of:
  0.031186208 = sum of:
    0.031186208 = product of:
      0.062372416 = sum of:
        0.062372416 = weight(_text_:mining in 4559) [ClassicSimilarity], result of:
          0.062372416 = score(doc=4559,freq=2.0), product of:
            0.28585905 = queryWeight, product of:
              5.642448 = idf(docFreq=425, maxDocs=44218)
              0.05066224 = queryNorm
            0.2181929 = fieldWeight in 4559, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.642448 = idf(docFreq=425, maxDocs=44218)
              0.02734375 = fieldNorm(doc=4559)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Content

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."