Recommendation systems: Algorithms, challenges, metrics, and business opportunities
Recommender systems are widely used to provide users with recommendations based on
their preferences. With the ever-growing volume of information online, recommender …
their preferences. With the ever-growing volume of information online, recommender …
RETRACTED ARTICLE: Customer centric hybrid recommendation system for E-Commerce applications by integrating hybrid sentiment analysis
Internet applications such as Online Social Networking and Electronic commerce are
becoming incredibly common, resulting in more content being available. Recommender …
becoming incredibly common, resulting in more content being available. Recommender …
Streamlit-based enhancing crop recommendation systems with advanced explainable artificial intelligence for smart farming
The main objective of this paper is to clarify the importance of explainability in the crop
recommendation process and provide insights on how Explainable Artificial Intelligence …
recommendation process and provide insights on how Explainable Artificial Intelligence …
[PDF][PDF] Crop recommendation system using machine learning
ABSTRACT A vast fraction of the population of India considers agriculture as its primary
occupation. The production of crops plays an important role in our country. Bad quality crop …
occupation. The production of crops plays an important role in our country. Bad quality crop …
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 …
availability of modern devices and their advanced applications, for most people, have led to …
State of art and emerging trends on group recommender system: a comprehensive review
A group recommender system (GRS) generates suggestions for a group of individuals,
considering not only each person's preferences but also factors such as social dynamics …
considering not only each person's preferences but also factors such as social dynamics …
X-wines: A wine dataset for recommender systems and machine learning
In the current technological scenario of artificial intelligence growth, especially using
machine learning, large datasets are necessary. Recommender systems appear with …
machine learning, large datasets are necessary. Recommender systems appear with …
Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review
C Song, H Dong - IEEE Access, 2021 - ieeexplore.ieee.org
With the ever-growing volume of online information, recommender system has been an
effective strategy to overcome such information overload. Recommender systems are widely …
effective strategy to overcome such information overload. Recommender systems are widely …
[PDF][PDF] Automatic Crop Expert System Using Improved LSTM with Attention Block.
S Sikandar, R Mahum… - Computer Systems Science …, 2023 - cdn.techscience.cn
Agriculture plays an important role in the economy of any country. Approximately half of the
population of develo** countries is directly or indirectly connected to the agriculture field …
population of develo** countries is directly or indirectly connected to the agriculture field …
[Retracted] Plantosphere: Next Generation Adaptive and Smart Agriculture System
Around 75% of the population in India is engaged in agriculture and farming. The
sustainability of every economy is based on agriculture. It has a major influence on financial …
sustainability of every economy is based on agriculture. It has a major influence on financial …