Search (2 results, page 1 of 1)

  • × author_ss:"Ozmutlu, S."
  • × theme_ss:"Suchmaschinen"
  • × year_i:[2000 TO 2010}
  1. Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: ¬A day in the life of Web searching : an exploratory study (2004) 0.00 
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    Abstract
    Understanding Web searching behavior is important in developing more successful and cost-efficient Web search engines. We provide results from a comparative time-based Web study of US-based Excite and Norwegian-based Fast Web search logs, exploring variations in user searching related to changes in time of the day. Findings suggest: (1) fluctuations in Web user behavior over the day, (2) user investigations of query results are much longer, and submission of queries and number of users are much higher in the mornings, and (3) some query characteristics, including terms per query and query reformulation, remain steady throughout the day. Implications and further research are discussed.
    Type
    a
  2. Ozmutlu, S.; Cosar, G.C.: Analyzing the results of automatic new topic identification (2008) 0.00 
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    Abstract
    Purpose - Identification of topic changes within a user search session is a key issue in content analysis of search engine user queries. Recently, various studies have focused on new topic identification/session identification of search engine transaction logs, and several problems regarding the estimation of topic shifts and continuations were observed in these studies. This study aims to analyze the reasons for the problems that were encountered as a result of applying automatic new topic identification. Design/methodology/approach - Measures, such as cleaning the data of common words and analyzing the errors of automatic new topic identification, are applied to eliminate the problems in estimating topic shifts and continuations. Findings - The findings show that the resulting errors of automatic new topic identification have a pattern, and further research is required to improve the performance of automatic new topic identification. Originality/value - Improving the performance of automatic new topic identification would be valuable to search engine designers, so that they can develop new clustering and query recommendation algorithms, as well as custom-tailored graphical user interfaces for search engine users.
    Type
    a

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