Results 21 to 30 of about 17,842,438 (309)
Community-Based User Domain Model Collaborative Recommendation Algorithm
Tsinghua Science and Technology, 2013 Collaborative Filtering (CF) is a commonly used technique in recommendation systems. It can promote items of interest to a target user from a large selection of available items.
Fulan Qian +3 more
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Development of a hybrid-based recommendation system
Вісник Харківського національного університету імені В.Н. Каразіна. Серія: Математичне моделювання, інформаційні технології, автоматизовані системи управління, 2023 Modern Internet and web services are flooded with a vast amount of information, which is becoming more challenging for users. Recommendation systems aim to address this information overload issue while personalizing the user experience by providing ...
Анжеліка Бєлан +1 more
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Job Recommendation System Using Hybrid Filtering [PDF]
ITM Web of Conferences, 2022 As for today’s era, recruitment can be considered as one of most difficult process to undergo for job seeking candidate. Many fresher candidates face issue while job recruitment process to undergo which field of interest.
Mulay Aneesh +4 more
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Image Recommendation System Based on Environmental and Human Face Information
Sensors, 2023 With the advancement of computer hardware and communication technologies, deep learning technology has made significant progress, enabling the development of systems that can accurately estimate human emotions. Factors such as facial expressions, gender,
Hye-min Won, Yong Seok Heo, Nojun Kwak
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Recommending Sources in News Recommender Systems
Proceedings of the 11th International Conference on Web Information Systems and Technologies, 2015 Recommender systems aim to deliver the most suitable item to the user without the manual effort of the user. It is possible to see the applications of recommender systems in a lot of different domains like music, movies, shopping and news. Recommender system development have many challenges.
Özlem Özgöbek +2 more
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Implementation of Recommendation Algorithm based on Recommendation Sessions in E-commerce IT System [PDF]
, 2021 The aim of the paper is to present a study as the implementation of the author’s Algorithm of the Recommendation Sessions ARS in an operating e‐commerce information system and to analyse basic parameters of the recommendation system created as ...
Michał Malinowski
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An Adaptive Genetic Algorithm for Personalized Itinerary Planning
IEEE Access, 2020 Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, tourists have different kinds of preferences about their itineraries, limited time budgets, unfamiliar with the wide range of Points-of-Interest (POIs) in ...
Phatpicha Yochum +3 more
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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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Features of building recommendation systems based on neural network technology using multithreading [PDF]
, 2022 The article is devoted to the creation of a recommendation system for tourists regarding hotels using a neural network based on a multi- layer perceptron. The work uses the mechanism of parallelization of the training sample of the neural network.
Liubchenko, V.V. +7 more
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Collaborative Recommendation System For Agriculture Sector [PDF]
ITM Web of Conferences, 2020 Agriculture is one of the most important sector in India and the farmers are one of the most essential members of society. The major economy of the country comes from the agricultural sector. Though there is no end to the woes of Indian Farmers.
Jaiswal Sapna +3 more
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