A review of citation recommendation: from textual content to enriched context

S Ma, C Zhang, X Liu - Scientometrics, 2020 - Springer
Citation recommendation systems play an important role to alleviate the dilemma that
scholar users spend a lot of time and experiences for literature survey. With the burgeoning …

Text similarity measures in news articles by vector space model using NLP

R Singh, S Singh - Journal of The Institution of Engineers (India): Series B, 2021 - Springer
The present global size of online news websites is more than 200 million. According to
MarketingProfs, more than 2 million articles are published every day on the web, but Online …

A scalable hybrid research paper recommender system for microsoft academic

A Kanakia, Z Shen, D Eide, K Wang - The world wide web conference, 2019 - dl.acm.org
We present the design and methodology for the large scale hybrid paper recommender
system used by Microsoft Academic. The system provides recommendations for …

Personalized scientific and technological literature resources recommendation based on deep learning

J Zhang, F Gu, Y Ji, J Guo - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
To enable a quick and accurate access of targeted scientific and technological literature
from massive stocks, here a deep content-based collaborative filtering method, namely …

Semantic ontology-based approach to enhance Arabic text classification

A Hawalah - Big Data and Cognitive Computing, 2019 - mdpi.com
Text classification is a process of classifying textual contents to a set of predefined classes
and categories. As enormous numbers of documents and contextual contents are introduced …

Neural network models for situation similarity assessment in hybrid-CBR

I Glukhikh, T Chernysheva… - Journal of Intelligent & …, 2023 - content.iospress.com
The case-based reasoning method has a high potential for solving tasks of intelligence
decision-support. To implement it, it is necessary to solve the problem of comparing …

Survey on collaborative and content-based recommendation systems

SA Thorat, G Ashwini, M Seema - 2023 5th International …, 2023 - ieeexplore.ieee.org
In recent times information available on Internet is growing at the exponential rate. This
makes searching correct information very difficult and it is challenging to perform the same …

Document similarity detection using rabin-karp and cosine similarity algorithms

AD Hartanto, Y Pristyanto… - … Conference on Computer …, 2021 - ieeexplore.ieee.org
Plagiarism action often occurs in the world of education. One example of plagiarism in
education, especially in the university environment, is the frequent occurrence of similarities …

Solving the longest common subsequence problem concerning non-uniform distributions of letters in input strings

B Nikolic, A Kartelj, M Djukanovic, M Grbic, C Blum… - Mathematics, 2021 - mdpi.com
The longest common subsequence (LCS) problem is a prominent NP–hard optimization
problem where, given an arbitrary set of input strings, the aim is to find a longest …

[PDF][PDF] A combined E-learning course recommender system

J Talaghzi, M Bellafkih, A Bennane… - … Journal of Emerging …, 2023 - researchgate.net
In this paper, we propose learners course recommender system of the E-Dirassa platform.
This system, which distinguishes between new and active learners, adopts three …