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International Journal of Engineering Applied Sciences and Technology, 2023
The development of farming techniques improved food supply to the nation's GDP and made it simpler for farmers to grow the precise and suitable crop without any risk or loss in productivity. Agriculture is important to human existence and livelihood because it has become a necessary and crucial part of our daily lives. To maintain the sustainability in
Shivanoori Sai Samhith +3 more
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The development of farming techniques improved food supply to the nation's GDP and made it simpler for farmers to grow the precise and suitable crop without any risk or loss in productivity. Agriculture is important to human existence and livelihood because it has become a necessary and crucial part of our daily lives. To maintain the sustainability in
Shivanoori Sai Samhith +3 more
openaire +1 more source
BOHR International Journal of Engineering, 2022
Elderly patients require more medical effort. It is clear that early-stage disease diagnosis can support time lyand appropriate treatment. But if you don’t pay attention in a timely manner, it can lead to different kinds of health problems that can lead to death. Take advantage of our recommendation system to recommend hospitals.
Shrey Sumariya +4 more
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Elderly patients require more medical effort. It is clear that early-stage disease diagnosis can support time lyand appropriate treatment. But if you don’t pay attention in a timely manner, it can lead to different kinds of health problems that can lead to death. Take advantage of our recommendation system to recommend hospitals.
Shrey Sumariya +4 more
openaire +1 more source
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Recommender systems are omnipresent on the web. They aim to address the problem of information overload. Recommender systems personalizes the content to each individual user based on their preferences. Currently, these systems are used to recommend movies, music, news, products to buy etc. They essentially assist us in making decisions.
Laura Igual, Santi Seguí
+5 more sources
Recommender systems are omnipresent on the web. They aim to address the problem of information overload. Recommender systems personalizes the content to each individual user based on their preferences. Currently, these systems are used to recommend movies, music, news, products to buy etc. They essentially assist us in making decisions.
Laura Igual, Santi Seguí
+5 more sources
Kybernetes, 2018
Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and high-quality individual studies addressing one or more research questions about recommender systems and performing a comprehensive study of empirical research on recommender systems that have been divided into five main categories.
Fatemeh Alyari, Nima Jafari Navimipour
+6 more sources
Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and high-quality individual studies addressing one or more research questions about recommender systems and performing a comprehensive study of empirical research on recommender systems that have been divided into five main categories.
Fatemeh Alyari, Nima Jafari Navimipour
+6 more sources
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Recommender systems for groups are becoming increasingly popular since many information needs originate from group and social activities, such as listening to music, watching movies, traveling, etc. There has been substantial progress on systems which recommend items to groups of users. However, many challenges remain.
Delic, Amra, Masthoff, Judith
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Recommender systems for groups are becoming increasingly popular since many information needs originate from group and social activities, such as listening to music, watching movies, traveling, etc. There has been substantial progress on systems which recommend items to groups of users. However, many challenges remain.
Delic, Amra, Masthoff, Judith
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2019
Personalization increasingly mediates the experience of users on the Web. Online platforms and organizations use personalization services to retain users, achieve longer user or customer engagement and, ultimately, higher profits. Cast in this light, personalization is a ubiquitous modality by means of which organizations seek to structure interaction
Alaimo, Cristina, Kallinikos, Jannis
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Personalization increasingly mediates the experience of users on the Web. Online platforms and organizations use personalization services to retain users, achieve longer user or customer engagement and, ultimately, higher profits. Cast in this light, personalization is a ubiquitous modality by means of which organizations seek to structure interaction
Alaimo, Cristina, Kallinikos, Jannis
+5 more sources
2023
Recommendation systems are critical tools used by marketing departments to provide customers with product recommendations. Data scientists also use recommendation system analysis to assess the effectiveness of product and service suggestions. There are two types of recommendation systems: content-based and collaborative filtering.
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Recommendation systems are critical tools used by marketing departments to provide customers with product recommendations. Data scientists also use recommendation system analysis to assess the effectiveness of product and service suggestions. There are two types of recommendation systems: content-based and collaborative filtering.
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Proceedings of the 10th ACM Conference on Recommender Systems, 2016
Group recommender systems provide suggestions in contexts in which people operate in groups. The goal of this tutorial is to provide the RecSys audience with an overview on group recommendation. We will first formally introduce the problem of producing recommendations to groups, then present a survey based on the tasks performed by these systems.
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Group recommender systems provide suggestions in contexts in which people operate in groups. The goal of this tutorial is to provide the RecSys audience with an overview on group recommendation. We will first formally introduce the problem of producing recommendations to groups, then present a survey based on the tasks performed by these systems.
openaire +1 more source