Recommendation engines-neural embedding to graph-based: Techniques and evaluations

A Akbar, P Agarwal, AJ Obaid - International Journal of Nonlinear …, 2022 - ijnaa.semnan.ac.ir
The goal of any profit organization is to bolster its revenue by providing useful suggestions
to its customer base. In order to achieve this, vast research is being undertaken by …

Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic

R Mehta, K Aggarwal, D Koundal, A Alhudhaif… - Expert Systems with …, 2021 - Elsevier
The unexpected blast of the COVID has been found everywhere in the world, and everyone
has been shocked unusually. In this critical situation, the number of online activities …

Opinion texts summarization based on texts concepts with multi-objective pruning approach

SJ Gudakahriz, AME Moghadam… - The Journal of …, 2023 - Springer
Considering the huge volume of opinion texts published on various social networks, it is
extremely difficult to peruse and use these texts. The automatic creation of summaries can …

Retreating Nouns for Better Feature Extraction for Summarization: In Context with Narratives

DV Sawane, SY Azade, S Gaikwad… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Text summarization generates a precise summary of the original text while maintaining its
meaning. We have collected information in the form of narratives for this project. In …