Lattice abstraction-based content summarization using baseline abstractive lexical chaining progress
Text summarization is essential in this fast-growing world to read the information because a
vast amount of information holds various definitions among related contents. Due to this …
vast amount of information holds various definitions among related contents. Due to this …
Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word …
A textual data processing task that involves the automatic extraction of relevant and salient
keyphrases from a document that expresses all the important concepts of the document is …
keyphrases from a document that expresses all the important concepts of the document is …
Sentence boundary extraction from scientific literature of electric double layer capacitor domain: tools and techniques
MSU Miah, J Sulaiman, TB Sarwar, A Naseer… - Applied Sciences, 2022 - mdpi.com
Given the growth of scientific literature on the web, particularly material science, acquiring
data precisely from the literature has become more significant. Material information systems …
data precisely from the literature has become more significant. Material information systems …
OpenMetaRec: Open-metapath heterogeneous dual attention network for paper recommendation
X **ao, J Huang, H Wang, C Zhang, X Chen - Expert Systems with …, 2023 - Elsevier
Paper recommendation based on author preferences has gained widespread attention.
Current methods focus on the heterogeneous information network (HIN) to infer correlation …
Current methods focus on the heterogeneous information network (HIN) to infer correlation …
Pillar 3: The impact of language complexity on the preferences of commercial bank website users
This research explores the impact of document complexity and readability on user
preferences for disclosure information on commercial bank web portals, with a focus on …
preferences for disclosure information on commercial bank web portals, with a focus on …
Optimal safety planning and driving decision-making for multiple autonomous vehicles: A learning based approach
AJM Muzahid, MA Rahim, SA Murad… - 2021 Emerging …, 2021 - ieeexplore.ieee.org
In the early diffusion stage of autonomous vehicle systems, the controlling of vehicles
through exacting decision-making to reduce the number of collisions is a major problem …
through exacting decision-making to reduce the number of collisions is a major problem …
A CTR Prediction Model With Double Matrix-Level Cross-Features
W Zhang, Y Han, Z Kang, K Qu - IEEE Access, 2022 - ieeexplore.ieee.org
CTR prediction is an important task in recommender systems, which is used to estimate the
likelihood of a user clicking on an advertisement. In the past, the CTR prediction model …
likelihood of a user clicking on an advertisement. In the past, the CTR prediction model …
Multicriteria Decision Analysis for Optimal Internet Service Provider Selection Using Calibrated Random Forest
M Mazid-Ul-Haque, S Ahmed, RS Aftab… - … Asian Conference on …, 2024 - ieeexplore.ieee.org
The Internet is integral to modern life, with Internet service provider (ISP) offering appealing
deals to meet the demand for unlimited data. However, reality often falls short of …
deals to meet the demand for unlimited data. However, reality often falls short of …
The Intersection of Machine Learning, Zakat, and Transportation for a Healthy Society
MY Asyhari, P Susanti, KA Ahmad… - … on Railway and …, 2024 - books.google.com
The recent Covid-19 pandemic has shown that transportation has a significant role in
creating a healthy society. Human mobility can be tracked and traced to map the spread of …
creating a healthy society. Human mobility can be tracked and traced to map the spread of …
A Comparative Assessment of Various Embeddings for Keyword Extraction
G Ashqar, A Mutlu - 2023 5th International Congress on Human …, 2023 - ieeexplore.ieee.org
Automatic keyword extraction from a text document is the problem of identifying in-text words
or phrases that best describe the content of the text document. Recently, word embeddings …
or phrases that best describe the content of the text document. Recently, word embeddings …