چکیده مقاله
Nowadays, the quantity of data that is created is so huge One area of the web that has seen continued growth is the online publication of research papers Recommender systems were developed to help close the gap between information collection and analysis by filtering all of theavailable information to present what is most valuable to the user Against this background, inthis work, we address the problem of paper recommendation in Big Data scholarly We proposed an approximate approach for recommending papers to researchers based on local sensitivehashing by converting the citations of papers to signatures and compare these signatures against each other to detect similar papers according to their citations A parallel and distributed aspects of the proposal is also discussed
کلیدواژهها
نویسندگان
Siroos Keshavarz
Department of Computer Engineering, Islamic Azad University, Safashahr Branch, Safashahr, Fars, Iran,
Ali Reza Honarvar
Department of Computer Engineering, Islamic Azad University, Safashahr Branch, Safashahr, Fars, Iran,
شیوه ارجاع
Keshavarz, Siroos and Honarvar, Ali Reza,1394,A Parallel Paper recommender system in Big Data Scholarly,International Conference on New Research Findings in Electrical Engineering and Computer Science,Tehran
ارائهشده در
مجموعه مقالات سومین کنفرانس ملی محاسبات نرم علوم مهندسی در صنعت و جامعه1 اسفند 1402 · ایرانشهر