has been cited by the following article(s):
[1]
|
İlgi Sıralamalarının Artırımlı Olarak Geliştirilmesi: Pennant Erişimle Desteklenen Yeni Bir Yöntem Önerisi
|
|
Türk Kütüphaneciliği,
2022 |
|
|
[2]
|
Studying the cognitive relatedness between topics in the global science landscape: The case of Big Data research
|
|
Journal of Information Science,
2022 |
|
|
[3]
|
Bilgi Erişimde İlgi Sıralamalarının Artırımlı Olarak Geliştirilmesi
|
|
2022 |
|
|
[4]
|
Context-Aware and Sequential Pattern Mining based recommendations for Research Papers: A Hybrid Approach
|
|
2020 |
|
|
[5]
|
Related records retrieval and pennant retrieval: an exploratory case study
|
|
2019 |
|
|
[6]
|
Enriching Scientific Paper Embeddings with Citation Context
|
|
2019 |
|
|
[7]
|
A task-based scientific paper recommender system for literature review and manuscript preparation
|
|
2018 |
|
|
[8]
|
A statistical approach for modeling inter-document semantic relationships in digital libraries
|
|
Journal of Intelligent Information Systems,
2016 |
|
|
[9]
|
Cloud-Based Big Data Management and Analytics for Scholarly Resources: Current Trends, Challenges and Scope for Future Research
|
|
2016 |
|
|
[10]
|
Towards Effective Research-Paper Recommender Systems and User Modeling based on Mind Maps
|
|
2015 |
|
|
[11]
|
Research-paper recommender systems: a literature survey
|
|
International Journal on Digital Libraries,
2015 |
|
|
[12]
|
A NOVEL APPROACH FOR DOCUMENT RETRIEVAL USING HAC BASED ON MULTI-VIEW POINT SIMILARITY MEASURE
|
|
PG Student, N Tiruchengode - ijetcse.com,
2014 |
|
|
[13]
|
Research Paper Recommender Systems: A Literature Survey
|
|
Under Review. Pre-print available at http://www. docear. org/publications,
2014 |
|
|
[14]
|
A two-stage citation recommendation system
|
|
2013 |
|
|
[15]
|
Research paper recommender system evaluation: a quantitative literature survey
|
|
RepSys 2013 Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation,
2013 |
|
|
[16]
|
Low-Power Themes Classifier (LPTC): A Human-Expert-Based Approach for Classification of Scientific Papers/Theses with Low-Power Theme
|
|
Intelligent Information Management,
2012 |
|
|
[1]
|
Comparison of text-based and linked-based metrics in terms of estimating the similarity of articles
Journal of Librarianship and Information Science,
2023
DOI:10.1177/09610006231165759
|
|
|
[2]
|
Incremental Refinement of Relevance Rankings: Introducing a New Method Supported with Pennant Retrieval
Turk Kutuphaneciligi - Turkish Librarianship,
2022
DOI:10.24146/tk.1062751
|
|
|
[3]
|
A statistical approach for modeling inter-document semantic relationships in digital libraries
Journal of Intelligent Information Systems,
2017
DOI:10.1007/s10844-016-0423-6
|
|
|
[4]
|
A survey on scholarly data: From big data perspective
Information Processing & Management,
2017
DOI:10.1016/j.ipm.2017.03.006
|
|
|
[5]
|
Low-Power Themes Classifier (LPTC): A Human-Expert-Based Approach for Classification of Scientific Papers/Theses with Low-Power Theme
Intelligent Information Management,
2012
DOI:10.4236/iim.2012.46041
|
|
|