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    • Thesis & Report, BSc (Computer Science and Engineering)
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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    A non-classical approach to recommender system for competitive programmers

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    13101108,13101033,12241012_CSE.pdf (1.539Mb)
    Date
    2017-07
    Publisher
    BRAC University
    Author
    Chowdhury, Tahanima
    Rafiq Ullah, Ahmed
    Maqsud Ul Anwar, MD.
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/8855
    Abstract
    To practice solving programming problems from online automated judge is very essential for competitive programmers since this helps develop critical thinking required for solving programming challenges in various programming contests. Competitive programmers use a lot of their time searching for programming challenges in automated online judges whose level of difficulty are within their reach to solve. This is very time consuming and at times the programmers miss out some of the available programming problems. This issue has not been addressed in any previous works so we have come up with a non-classical approach to recommending challenges to competitive programmers.
    Keywords
    Online judge; Programming contests; Competitive programmer
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 49-51).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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