Search (2 results, page 1 of 1)

0.017093996 = product of:
  0.03418799 = sum of:
    0.03418799 = product of:
      0.06837598 = sum of:
        0.06837598 = weight(_text_:22 in 3341) [ClassicSimilarity], result of:
          0.06837598 = score(doc=3341,freq=2.0), product of:
            0.17672725 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05046712 = queryNorm
            0.38690117 = fieldWeight in 3341, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=3341)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

22. 1.2017 16:45:48

0.012146961 = product of:
  0.024293922 = sum of:
    0.024293922 = product of:
      0.048587844 = sum of:
        0.048587844 = weight(_text_:tagging in 357) [ClassicSimilarity], result of:
          0.048587844 = score(doc=357,freq=2.0), product of:
            0.2979515 = queryWeight, product of:
              5.9038734 = idf(docFreq=327, maxDocs=44218)
              0.05046712 = queryNorm
            0.163073 = fieldWeight in 357, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.9038734 = idf(docFreq=327, maxDocs=44218)
              0.01953125 = fieldNorm(doc=357)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.