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Article Recommendation based on Common Author Relations and Author based Search Patterns


Prajakta Vilas Sahane , Amrutvahini College of Engineering, Sangamner; Anuradha Nawathe, Amrutvahini College of Engineering, Sangamner


Collaborative Filtering, Common Author, Random Walk, Article Recommendation, Citation Recommendation


Research paper recommender frameworks are programming applications or frameworks that assistance singular clients to locate the most significant research papers to their requirements or tastes. Diverse scientists may have their own components and there may be relating strategies for them bringing about better proposals. In this paper, we propose a novel suggestion strategy which joins data on regular writer relations between articles (i.e., two articles with the same author(s)). The justification hidden our technique is that analysts frequently seek articles distributed by the same author(s). Since not all scientists have such writer based hunt designs, we introduce two elements, which are characterized in view of data about pairwise articles with regular writer relations and much of the time showed up writers, to decide target analysts for proposal. In commitment we had likewise grown new elements to investigate which analysts have creator based pursuit designs so that all scientists can acquire palatable proposals.

Other Details

Paper ID: IJSRDV5I50007
Published in: Volume : 5, Issue : 5
Publication Date: 01/08/2017
Page(s): 604-607

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