A Parallel Paper recommender system in Big Data Scholarly دارای 5 صفحه می باشد و دارای تنظیمات در microsoft word می باشد و آماده پرینت یا چاپ است
فایل ورد A Parallel Paper recommender system in Big Data Scholarly کاملا فرمت بندی و تنظیم شده در استاندارد دانشگاه و مراکز دولتی می باشد.
توجه : در صورت مشاهده بهم ریختگی احتمالی در متون زیر ،دلیل ان کپی کردن این مطالب از داخل فایل ورد می باشد و در فایل اصلی A Parallel Paper recommender system in Big Data Scholarly،به هیچ وجه بهم ریختگی وجود ندارد
بخشی از متن A Parallel Paper recommender system in Big Data Scholarly :
نام کنفرانس یا همایش : هفتمین کنفرانس ملی مهندسی برق و الکترونیک ایران
تعداد صفحات : 5
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 the available information to present what is most valuable to the user. Against this background, in this 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 sensitive hashing 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.
