A review of citation recommendation: from textual content to enriched context
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 …
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
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 …
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
We present the design and methodology for the large scale hybrid paper recommender
system used by Microsoft Academic. The system provides recommendations for …
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 …
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 …
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 …
decision-support. To implement it, it is necessary to solve the problem of comparing …
Survey on collaborative and content-based recommendation systems
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 …
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 …
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
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 …
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 …
This system, which distinguishes between new and active learners, adopts three …