Results 21 to 30 of about 228,630 (266)
Quantum Recommendation Systems
CoRR, 2016 A recommendation system uses the past purchases or ratings of n products by a group of m users, in order to provide personalized recommendations to individual users. The information is modeled as an m \times n preference matrix which is assumed to have a good rank-k approximation, for a small constant k. In this work, we present a quantum algorithm for
Kerenidis, Iordanis, Prakash, Anupam
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Scientific Paper Recommendation: A Survey
IEEE Access, 2019 Globally, the recommendation services have become important due to the fact that they support e-commerce applications and different research communities.
Xiaomei Bai +5 more
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Trustworthy Recommender Systems
CoRR, 2022 Recommender systems (RSs) aim to help users to effectively retrieve items of their interests from a large catalogue. For a quite long period of time, researchers and practitioners have been focusing on developing accurate RSs. Recent years have witnessed an increasing number of threats to RSs, coming from attacks, system and user generated noise ...
Shoujin Wang +4 more
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IEEE Access, 2016 In existing recommendation systems, there exist the issues of “cold start” and “excessively mature recommendation,” which cause the recommendation systems to have weak effectiveness; thus, a trust-based recommendation model ...
Ting Li, Anfeng Liu, Changqin Huang
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Recommendation Systems for the Healthcare Domain: A Comprehensive Survey of Evaluation Datasets
Vietnam Journal of Computer ScienceHealthcare Recommendation Systems (HRSs) primarily aim to offer advice, recommendations, or suggestions related to human healthcare. Similar to other information systems, datasets affect HRSs’ efficiency. The larger datasets can make the information more
Dinh Tai Pham +2 more
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Asset Management System through the design of a Jadex Agent System
Advances in Distributed Computing and Artificial Intelligence Journal, 2016 In this paper we have designed an agent system using JADEX platform in order to facilitate the asset management of an institution with several types of assets with some unknown similarities, and a high number of operators.
Javier CARBÓ +2 more
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Jurnal Sisfokom, 2021 In life, there is also death, every day the number of people who are born in the world continues to increase followed by the death of a person. The death rate in DKI Jakarta in early 2020 was 3,072 reports and then there was a significant increase in ...
Alfi Nurfazri +2 more
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Decentralized Recommender Systems
CoRR, 2015 This paper proposes a decentralized recommender system by formulating the popular collaborative filleting (CF) model into a decentralized matrix completion form over a set of users. In such a way, data storages and computations are fully distributed.
Zhangyang Wang +5 more
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Recommendation System Based on Users Preference Mining Generative Adversarial Networks
Jisuanji kexue yu tansuo, 2020 Users preference mining is one of the key issues in the research field of recommendation system, and it plays a very important role in improving the recommendation performance.
LI Guangli, HUA Jin, YUAN Tian, ZHU Tao, WU Renzhong, JI Donghong, ZHANG Hongbin
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METHOD OF COLLABORATIVE FILTRATION BASED ON ASSOCIATIVE NETWORKS OF USERS SIMILARITY
Сучасні інформаційні системи, 2018 The subject matter of the article is the processes of generating a recommendations list for users of a website. The goal is to develop the new method of collaborative filtering based on building associative networks of users similarity to improve the ...
Yelyzaveta Meleshko
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