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Privacy Preserved and Decentralized Smartphone Recommendation System
IEEE transactions on consumer electronicsThe increasing popularity of mobile phones has led to an abundance of online reviews, making it challenging for consumers to make well-informed purchasing decisions.
A. Khan +5 more
semanticscholar +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
Persuasion in Recommender Systems
International Journal of Electronic Commerce, 2006Recommender systems persuade as well as recommend. This study investigated some factors that influence the perceived fit of the recommendations a system provides and user perceptions of the preference-elicitation process. The findings indicate that the relevance, transparency, duration, and required effort of the elicitation process are important cues ...
Ulrike Gretzel, Daniel R. Fesenmaier
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Algorithm for movie recommendation system using collaborative filtering
, 2021Recommender systems are information filtering system that predicts the rating for users and items, basically from big data to recommend their likes.
Nisha Bhalse, R. Thakur
semanticscholar +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.
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A Survey of Recommendation Systems
Information Resources Management Journal, 2020Today's internet is able to discover almost any product or piece of information. The large amounts of unfiltered information returned by an internet query calls for filters able to validate and rank the available options. Recommender systems (RSs) are a software tool designed to qualify the options available and make suggestions that align with the ...
Sushma Malik, Anamika Rana, Mamta Bansal
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Explanation in Recommender Systems
Artificial Intelligence Review, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Knowledge-Based Systems, 2013
Recommender systems have developed in parallel with the web. They were initially based on demographic, content-based and collaborative filtering. Currently, these systems are incorporating social information. In the future, they will use implicit, local and personal information from the Internet of things.
Jesús Bobadilla +3 more
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Recommender systems have developed in parallel with the web. They were initially based on demographic, content-based and collaborative filtering. Currently, these systems are incorporating social information. In the future, they will use implicit, local and personal information from the Internet of things.
Jesús Bobadilla +3 more
openaire +1 more source
A novel deep multi-criteria collaborative filtering model for recommendation system
Knowledge-Based Systems, 2020Recommender systems have been in existence everywhere with most of them using single ratings in prediction. However, multi-criteria predictions have been proved to be more accurate. Recommender systems have many techniques; collaborative filtering is one
Nour Nassar, Assef Jafar, Yasser Rahhal
semanticscholar +1 more source
2010
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations.
Dietmar Jannach +3 more
openaire +2 more sources
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations.
Dietmar Jannach +3 more
openaire +2 more sources