Search (1 results, page 1 of 1)

0.004691057 = product of:
  0.01407317 = sum of:
    0.01407317 = product of:
      0.02814634 = sum of:
        0.02814634 = weight(_text_:system in 3318) [ClassicSimilarity], result of:
          0.02814634 = score(doc=3318,freq=2.0), product of:
            0.16177002 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.051362853 = queryNorm
            0.17398985 = fieldWeight in 3318, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3318)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

We analyze 18- million rows of Wi-Fi access logs collected over a 1-year period from over 120,000 anonymized users at an inner city shopping mall. The anonymized data set gathered from an opt-in system provides users' approximate physical location as well as web browsing and some search history. Such data provide a unique opportunity to analyze the interaction between people's behavior in physical retail spaces and their web behavior, serving as a proxy to their information needs. We found that (a) there is a weekly periodicity in users' visits to the mall; (b) people tend to visit similar mall locations and web content during their repeated visits to the mall; (c) around 60% of registered Wi-Fi users actively browse the web, and around 10% of them use Wi-Fi for accessing web search engines; (d) people are likely to spend a relatively constant amount of time browsing the web while the duration of their visit may vary; (e) the physical spatial context has a small, but significant, influence on the web content that indoor users browse; and (f) accompanying users tend to access resources from the same web domains.