Now showing items 1-7 of 7

    • DBTagger: multi-task learning for keyword mapping in NLIDBs using Bi-directional recurrent neural networks 

      Usta, Arif; Karakayali, Akifhan; Ulusoy, Özgür (Association for Computing Machinery, 2021-01)
      Translating Natural Language Queries (NLQs) to Structured Query Language (SQL) in interfaces deployed in relational databases is a challenging task, which has been widely studied in database community recently. Conventional ...
    • How k-12 students search for learning?: analysis of an educational search engine log 

      Usta, Arif; Altıngövde, İsmail Şengör; Vidinli, İ. B.; Özcan, R.; Ulusoy, Özgür (ACM, 2014-07)
      In this study, we analyze an educational search engine log for shedding light on K-12 students' search behavior in a learning environment. We specially focus on query, session, user and click characteristics and compare ...
    • Learning to rank for educational search engines 

      Usta, Arif; Altıngövde, İ. S.; Özcan, R.; Ulusoy, Özgür (IEEE, 2021-04-27)
      In this digital age, there is an abundance of online educational materials in public and proprietary platforms. To allow effective retrieval of educational resources, it is a necessity to build keyword-based search engines ...
    • Optimization of an educational search engine using learning to rank algorithms 

      Usta, Arif (Bilkent University, 2015-09)
      Web search is one of the most popular internet activities among users. Due to high usage of search engines, there are huge data available about history of user search issues. Using query logs as a source of implicit ...
    • Re-finding behaviour in educational search 

      Usta, Arif; Altıngövde, İ. Ş.; Özcan, R.; Ulusoy, Özgür (Springer, Cham, 2019)
      One of the search tasks in Web search is repeat search behaviour to find out documents that users once visited, which is called re-finding. Although there have been several works in the context of general-purpose Web ...
    • Towards deeply intelligent interfaces in relational databases 

      Usta, Arif (Bilkent University, 2021-08)
      Relational databases is one of the most popular and broadly utilized infrastruc-tures to store data in a structured fashion. In order to retrieve data, users have to phrase their information need in Structured Query Language ...
    • Towards interactive data exploration 

      Binnig, C.; Basık, Fuat; Buratti, B.; Çetintemel, U.; Chung, Y.; Crotty, A.; Cousins, C.; Ebert, D.; Eichmann, P.; Galakatos, A.; Hattasch, B.; Ilkhechi, A.; Kraska, T.; Shang, Z.; Tromba, I.; Usta, Arif; Utama, P.; Upfal, E.; Wang, L.; Weir, N.; Zeleznik, R.; Zgraggen, E. (Springer, 2019)
      Enabling interactive visualization over new datasets at “human speed” is key to democratizing data science and maximizing human productivity. In this work, we first argue why existing analytics infrastructures do not support ...