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Crop Recommendation System Using Machine Learning
2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2023Crop recommendation is an important part of precision agriculture for crop productivity improvement. Machine learning techniques have been used many times in this domain to analyze agricultural data and provide recommendations based on various factors ...
Mansi Gambhir +5 more
semanticscholar +1 more source
Multi-Agent Personalized Recommendation System in E-Commerce based on User
2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023As more sectors began to switch from conventional business models to e-commerce in response to the general trend toward mobile Internet use, the scale of e-commerce grew rapidly.
Nagagopiraju Vullam +5 more
semanticscholar +1 more source
2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007
Recommender systems give advice about products, information or services users might be interested in. They are intelligent applications to assist users in a decision-making process where they want to choose one item amongst a potentially overwhelming set of alternative products or services.
Hannes Werthner +2 more
openaire +2 more sources
Recommender systems give advice about products, information or services users might be interested in. They are intelligent applications to assist users in a decision-making process where they want to choose one item amongst a potentially overwhelming set of alternative products or services.
Hannes Werthner +2 more
openaire +2 more sources
IEEE Transactions on Computational Social Systems, 2021
A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy ...
Sahraoui Dhelim +4 more
semanticscholar +1 more source
A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy ...
Sahraoui Dhelim +4 more
semanticscholar +1 more source
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.
Amra Delic, Judith Masthoff
openaire +1 more source
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.
Amra Delic, Judith Masthoff
openaire +1 more source
A Multimedia Recommender System
ACM Transactions on Internet Technology, 2013The extraordinary technological progress we have witnessed in recent years has made it possible to generate and exchange multimedia content at an unprecedented rate. As a consequence, massive collections of multimedia objects are now widely available to a large population of users.
Massimiliano Albanese +4 more
openaire +4 more sources
Exploring a large-scale multi-modal transportation recommendation system
, 2021The emergence of navigation applications with multi-modal trip planning services has brought about the demand for the multi-modal transportation recommendation systems.
Yang Liu +3 more
semanticscholar +1 more source
DEEP-CARDIO: Recommendation System for Cardiovascular Disease Prediction Using IoT Network
IEEE Sensors JournalThe Internet of Things (IoTs)-based remote healthcare applications provide fast and preventative medical services to the patients at risk. However, predicting heart disease is a complex task, and diagnosis results are rarely accurate.
A. Yashudas +6 more
semanticscholar +1 more source
A Social-Relationships-Based Service Recommendation System for SIoT Devices
IEEE Internet of Things Journal, 2021Social Internet of Things comes as a new paradigm of Internet of Things to solve the problems of network discovery, navigability, and service composition.
Amar Khelloufi +6 more
semanticscholar +1 more source
The Ethics of a Recommendation System
2014In this paper, we extend the current research in the recommendation system community by showing that users’ did attach ethical utility to items. In an experiment (N = 111) that manipulated several moral factors regarding the potentially harmful contents in movies, books and games, users were asked to evaluate the appropriateness of recommending these ...
Pinata Winoto, Tiffany Ya Tang
openaire +1 more source