A Collaborative Filtering Recommender System using Apache Mahout, Ontology and Dimensionality Reduction Technique

Vats, Deepak; Sharma, Abhishek

doi:10.1109/accai53970.2022.9752604

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…On the other hand, the recommender system has become essential in most domains such as e-commerce, healthcare, movie, music, travel, news and book [8][9][10]. In particular, the book recommender system [11][12] suggests the book to users according to their preference effectively improving users' book-reading experience.…”

Section: Literature Reviewmentioning

confidence: 99%

Write-Deck: An Enriched Social Reading Fan Fiction Site With Recommendation System

Sallehuddin

Haw

2023

ACE

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The Covid-19 pandemics have pushed individuals away from having any personal contact with each other, in a long period of isolation. Spending time on relaxing activities such as writing fan fiction help alleviate the negative effects of long isolation. Writer-Deck is a system to read fan and original fiction online which is enriched with a recommender system. Writer-Deck aims to provide users with simple ways to find the most likely fiction for leisure reading, simple navigation to access information on their favourite fiction, the ability to save to the library to read later and notification of a new chapter to be released. In addition, the review and rating functions are available for writers to gauge their writing skills. The usability test on 30 respondents indicated that on average 76.6% of respondents respond positively in terms of navigation, design and layout, features, search and recommendation.

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Section: Literature Reviewmentioning

confidence: 99%

Write-Deck: An Enriched Social Reading Fan Fiction Site With Recommendation System

Sallehuddin

Haw

2023

ACE

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“…Apache Mahout is used to provide a novel approach for collaborative filtering recommender system. The proposed work aims to address the concerns of sparsity and scalability by using dimensionality reduction method of linear algebra and ontology method for semantic similarity [12]. Bhatia et al [13] employed Apache Mahout as a scalable data mining library based on Hadoop cluster to build a distributed generic recommender in order to produce recommendations about various items.…”

Section: Related Workmentioning

confidence: 99%

Random forest for lung cancer analysis using Apache Mahout and Hadoop based on software defined networking

Khaleel,

Al-Azzawi,

Alkhazraji

2023

IJEECS

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<span>Random forest is a machine learning algorithm that mainly built as a classification method to make predictions based on decision trees. Many machine learning approaches used random forest to perform deep analysis on different cancer diseases to understand their complex characterstics and behaviour. However, due to massive and complex data generated from such diseases, it has become difficult to run random forest using single machine. Therefore, advanced tools are highly required to run random forest to analyse such massive data. In this paper, random forest algorithm using Apache Mahout and Hadoop based software defined networking (SDN) are used to conduct the prediction and analysis on large lung cancer datasets. Several experiments are conducted to evaluate the proposed system. Experiments are conducted using nine virtual nodes. Experiments show that the implementation of random forest algorithm using the proposed work outperforms its implementation in traditional environment with regard to the execution time. Comparison between the proposed system using Hadoop based SDN and Hadoop only is performed. Results show that random forest using Hadoop based SDN has less execution time than when using Hadoop only. Furthermore, experiments reveal that the performance of implemented system achieved more efficiency regarding execution time, accuracy and reliability.</span>

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Capítulo 6. Inteligencia Artificial y la producción audiovisual

Hinojosa-Becerra,

Marín-Gutiérrez,

Maldonado-Espinosa

2024

Espejo de Monografías

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Examina cómo la Inteligencia Artificial está revolucionando la producción audiovisual, desde la escritura de guiones hasta la edición de video, proporcionando herramientas que pueden predecir el éxito de contenidos y personalizar producciones para audiencias específicas. A pesar de estas ventajas, la IA también plantea desafíos en cuanto a derechos de autor y creatividad, con preocupaciones sobre la originalidad de los contenidos generados por IA.

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A Collaborative Filtering Recommender System using Apache Mahout, Ontology and Dimensionality Reduction Technique

Cited by 3 publications

References 35 publications

Write-Deck: An Enriched Social Reading Fan Fiction Site With Recommendation System

Write-Deck: An Enriched Social Reading Fan Fiction Site With Recommendation System

Random forest for lung cancer analysis using Apache Mahout and Hadoop based on software defined networking

Capítulo 6. Inteligencia Artificial y la producción audiovisual

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