The contribution of data-driven technologies in achieving the sustainable development goals

N Bachmann, S Tripathi, M Brunner, H Jodlbauer - Sustainability, 2022 - mdpi.com
The United Nations' Sustainable Development Goals (SDGs) set out to improve the quality of
life of people in developed, emerging, and developing countries by covering social and …

Recommender systems: an overview, research trends, and future directions

PK Singh, PKD Pramanik, AK Dey… - … Journal of Business …, 2021 - inderscienceonline.com
Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

Recommendation systems: Algorithms, challenges, metrics, and business opportunities

Z Fayyaz, M Ebrahimian, D Nawara, A Ibrahim… - applied sciences, 2020 - mdpi.com
Recommender systems are widely used to provide users with recommendations based on
their preferences. With the ever-growing volume of information online, recommender …

An efficient recommendation generation using relevant Jaccard similarity

S Bag, SK Kumar, MK Tiwari - Information Sciences, 2019 - Elsevier
In the literature, various collaborative filtering approaches have been developed to perform
an efficient recommendation on top of reducing the search cost of the customers. The …

[HTML][HTML] Intelligent insecticide and fertilizer recommendation system based on TPF-CNN for smart farming

T Thorat, BK Patle, SK Kashyap - Smart Agricultural Technology, 2023 - Elsevier
Nowadays, artificial intelligence and sensor technology play a vital role in the agriculture
field. The use of excess insecticides and fertilizers in farming poses a risk to human health. It …

Recommendation system for crop identification and pest control technique in agriculture

A Kumar, S Sarkar, C Pradhan - 2019 International Conference …, 2019 - ieeexplore.ieee.org
In Agriculture, mostly crops are loss due to the erroneous selection of the crop to be grown in
a particular land holding. The farmers are generally not aware of the requirements of the …

[HTML][HTML] Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: A study on cassava disease

TR Chhetri, A Hohenegger, A Fensel, MA Kasali… - Expert Systems with …, 2023 - Elsevier
Food security is currently a major concern due to the growing global population, the
exponential increase in food demand, the deterioration of soil quality, the occurrence of …

A systematic review of knowledge representation techniques in smart agriculture (Urban)

BP Bhuyan, R Tomar, AR Cherif - Sustainability, 2022 - mdpi.com
Urban agriculture is the practice of growing food inside the city limits. Due to the exponential
amount of data generated by information and technology-based farm management systems …

Chinese agricultural diseases and pests named entity recognition with multi-scale local context features and self-attention mechanism

X Guo, H Zhou, J Su, X Hao, Z Tang, L Diao… - … and Electronics in …, 2020 - Elsevier
Chinese named entity recognition is a crucial initial step of information extraction in the field
of agricultural diseases and pests. This step aims to identify named entities related to …

An e-commerce recommendation system based on dynamic analysis of customer behavior

FT Abdul Hussien, AMS Rahma, HB Abdulwahab - Sustainability, 2021 - mdpi.com
The technological development in the devices and services provided via the Internet and the
availability of modern devices and their advanced applications, for most people, have led to …