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Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios
IEEE Transactions on Services Computing, 2020Recommendation technology is an important part of the Internet of Things (IoT) services, which can provide better service for users and help users get information anytime, anywhere.
Z. Cui +6 more
semanticscholar +1 more source
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
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
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
openaire +1 more source
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
+5 more sources
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
International Conference on Computing Communication and Networking Technologies, 2021
The main purpose of a recommendation system is that it will suggest items to users easily making their life easier. Today the quantity of facts with inside the net increase very hastily and those want few instruments to seek out and access appropriate ...
P. Devika +4 more
semanticscholar +1 more source
The main purpose of a recommendation system is that it will suggest items to users easily making their life easier. Today the quantity of facts with inside the net increase very hastily and those want few instruments to seek out and access appropriate ...
P. Devika +4 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
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.
openaire +1 more source
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
Learning Path Recommendation System for Programming Education Based on Neural Networks
International Journal of Distance Education Technologies, 2020Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand.
Tomohiro Saito, Yutaka Watanobe
semanticscholar +1 more source