Probabilistic Model Using Bayes Theorem Research Paper Recommender System

2021 ◽  
pp. 901-909
Author(s):  
Ankita Nainwal ◽  
Deepika Gupta ◽  
Bhaskar Pant
Keyword(s):  
Recommender System ◽  
Probabilistic Model ◽  
Bayes Theorem ◽  
Research Paper

scholarly journals Recommendation System

2021 ◽  
Vol 6 (12) ◽  
pp. 484-492
Author(s):  
Dr. ML Sharma C Vinay Kumar Saini and Jai Raj Singh
Keyword(s):  
Recommender System ◽  
Recommendation System ◽  
Research Paper ◽  
Research Field ◽  
Collaborative Approach ◽  
Research Papers ◽  
Area Of Interest ◽  
Overall Performance ◽  
The Right ◽  
Filtering Approach

Research paper recommenders emerged over the last decade to ease finding publications relating to researchers’ area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collab- orative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommen- dations. The novelty of our proposed approach is that it provides personalized recommen- dations regardless of the research field and regardless of the user’s expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list.

scholarly journals Application of Research Paper Recommender System to Digital Library

2010 ◽  
Vol 10 (11) ◽  
pp. 10-19 ◽  
Author(s):  
Woon-Dong Yeo ◽  
Hyun-Woo Park ◽  
Young-Il Kwon ◽  
Young-Wook Park
Keyword(s):  
Digital Library ◽  
Recommender System ◽  
Research Paper
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