Exploiting Content-Based Filtering for Publication Venue Recommendations
Sulaiman N.S., Yacob A., Subroto I.M.I., Badieah, Haviana S.F.C., Mulyono S.
Abstract
Academic activities in a wide variety of subjects have increased significantly, leading to the publication of thousands of scholarly articles worldwide. This amount of published data presents researchers with a common difficulty when selecting the right publication venues to submit their works. The enormous diversity of topics, research areas, and academic disciplines makes finding a suitable journal or conference even more complex. For researchers, it is inevitably essential to publish in the most suitable journal, but manual selection would be inefficient and time-consuming. To help the researcher decide where they should submit their paper manuscript, we present a publication venue recommendation model using GARUDA-indexed journals. This recommender model can recommend suitable journals as publication venue candidates. Our evaluation results show that the recommender model can achieve a precision of 95% and can suggest the best relevant journals for the researchers.
CNAVER: A Content and Network-based Academic VEnue Recommender system
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HASVRec: A modularized Hierarchical Attention-based Scholarly Venue Recommender system
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Semantics aware intelligent framework for contentbased e-learning recommendation
Alatrash R., Bisoy S.K., Ezaldeen H., Misra R.
Ibnu Subroto I.M., Badie'Ah, Reptiana M., Ghufron
International Conference on Electrical Engineering Computer Science and Informatics Eecsi
Sulaiman N.S., Yaqob A., Badieah, Mulyono S., Wiktasari, Chaerul Haviana S.F., Salim C.A., Febriansah M.T., Adli M.F.
International Conference on Electrical Engineering Computer Science and Informatics Eecsi
