Results 31 to 40 of about 26,996,454 (309)
IEEE Access, 2022 Because a user’s behavior depends mainly on the user’s current interests, which can change over time, the sequential recommendation approach has become more prevalent in recommender systems. Many methods have been proposed that aim to model
Chanapa Channarong +3 more
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GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation [PDF]
Expert systems with applications, 2021 Research about recommender systems emerges over the last decade and comprises valuable services to increase different companies' revenue. Several approaches exist in handling paper recommender systems.
Zahra Zamanzadeh Darban +1 more
semanticscholar +1 more source
, 2015 The purpose of this chapter is to describe a software system that allows for discovering non-traditional education resources such as software applications, events or people who may participate as experts in some Learning Activity. Selecting the more suitable educational resources to create learning activities in the classroom may be a challenging task ...
Anido Rifón, Luis Eulogio +12 more
openaire +2 more sources
Journal of Telecommunications and Information Technology, 2014 The paper focuses on optimization vector content feature for the music recommendation system. For the purpose of experiments a database is created consisting of excerpts of music files.
Bożena Kostek +3 more
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Knowledge-based recommendation system using semantic web rules based on Learning styles for MOOCs
Cogent Engineering, 2022 With web-based education and Technology Enhanced Learning (TEL) assuming new importance, there has been a shift towards Massive Open Online Courses (MOOC) platforms owing to their openness and flexible “on-the-go” nature.
Abhinav Agarwal +2 more
semanticscholar +1 more source
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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Comparative Analysis of Collaborative Filtering on GraphLab, MLlib and Mahout
JISR on Computing, 2015 Recommendation systems are used to recommend items or products to the user based on their previous purchases, visits, interests, ratings, wish lists or reviews to develop interest and to display the accurate and suitable items on board.
Abdul Samad, Saif-ur-Rahman
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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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Item-side Fairness of Large Language Model-based Recommendation System [PDF]
The Web ConferenceRecommendation systems for Web content distribution intricately connect to the information access and exposure opportunities for vulnerable populations.
Meng Jiang +6 more
semanticscholar +1 more source
Computational Intelligence and Neuroscience, 2021 The prediction of human diseases precisely is still an uphill battle task for better and timely treatment. A multidisciplinary diabetic disease is a life-threatening disease all over the world.
Baha Ihnaini +5 more
semanticscholar +1 more source