Search (3 results, page 1 of 1)

  • × author_ss:"Ozcan, R."
  • × theme_ss:"Suchmaschinen"
  • × type_ss:"a"
  1. Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016) 0.01
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    Abstract
    Query suggestion is generally an integrated part of web search engines. In this study, we first redefine and reduce the query suggestion problem as "comparison of queries". We then propose a general modular framework for query suggestion algorithm development. We also develop new query suggestion algorithms which are used in our proposed framework, exploiting query, session and user features. As a case study, we use query logs of a real educational search engine that targets K-12 students in Turkey. We also exploit educational features (course, grade) in our query suggestion algorithms. We test our framework and algorithms over a set of queries by an experiment and demonstrate a 66-90% statistically significant increase in relevance of query suggestions compared to a baseline method.
    Source
    Information processing and management. 52(2016) no.5, S.733-752
  2. Ozcan, R.; Altingovde, I.S.; Ulusoy, O.: Exploiting navigational queries for result presentation and caching in Web search engines (2011) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.4, S.714-726
  3. Sarigil, E.; Sengor Altingovde, I.; Blanco, R.; Barla Cambazoglu, B.; Ozcan, R.; Ulusoy, Ö.: Characterizing, predicting, and handling web search queries that match very few or no results (2018) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.2, S.256-270