A Blog Personality Recommender System Based on Cloud Computing Infrastructure

Jiang, Jie; Pang, Wei-Wei; Deng, Yule; He, Kate S.; Gu, Zhuyan

doi:10.1109/ijcss.2012.33

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…Jiang et al [4] developed a new blog recommendation system based on cloud computing infrastructure. The system uses a Hadoop distributed file system to store massive blog data and adopts the user recommendation algorithm for collaborative filtering in blog search.…”

Section: Related Workmentioning

confidence: 99%

E-learning Recommendation System Based on Cloud Computing

Rahhali

Oughdir

Jedidi

et al. 2021

Lecture Notes in Electrical Engineering

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E-learning in higher education has been known as great technology to improve efficiency, augment focus and thereby, give better academic outcomes, and given its several advantages and benefits, e-learning is considered among the best strategies for instruction. Furthermore, the e-learning system can help students save time and showing further information improving student learning. However, the traditional system for conducting research work and choosing courses is a timeconsuming and uninteresting activity, which not only seriously affects students' academic performance, but also affects students' learning experience, and due to information overload, it becomes more difficult to choose relevant learning resources. To resolve this problem, this paper presents a model of a recommender system for the e-learning platform that will recommend and motivate the student in selecting the courses according to their requirements; this system based on cloud computing infrastructure and particularly with the use of Google cloud services.

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Section: Related Workmentioning

confidence: 99%

E-learning Recommendation System Based on Cloud Computing

Rahhali

Oughdir

Jedidi

et al. 2021

Lecture Notes in Electrical Engineering

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show abstract

“…A blog recommender system using a cloud computing technology was proposed in [11]. The authors used a collaborative filtering algorithm, which tries to find similarity between several users' information to generate personalized recommendation with high quality in a traditional blog search system.…”

Section: Related Workmentioning

confidence: 99%

A Novel Cloud Services Recommendation System Based on Automatic Learning Techniques

Djiroun¹,

Guesssoum²,

Boukhalfa

et al. 2017

2017 International Conference on New Trends in Computing Sciences (ICTCS)

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Abstract-The Cloud Computing technology is evolving constantly but essence remains the same that is to offer distinct cost saving opportunities by consolidating and restructuring information technology as a service. With the continuously increasing cloud provisions, cloud consumers start to have difficulties to find the best relevant services that suit their requirements. Therefore, selecting best services by cloud users is becoming a greater challenge. In this paper, we present a framework of services' recommendation system in a Cloud environment, using automatic learning techniques. The system aims at finding the services that suit the interests and preferences of cloud consumers by combining content based and behaviour based recommendations. In this paper, we present, USTHB-CLOUD, a cloud services recommendation prototype evaluated with an experimental study.

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“…It is based on a services' ranking established on the basis of the quality of service of a network and virtual machine performance. A blog recommender system using a cloud computing technology was proposed in [11]. The authors used a collaborative filtering algorithm, which tries to find similarity between several users' information to generate personalized recommendation with high quality in a traditional blog search system.…”

Section: Related Workmentioning

confidence: 99%

A Novel Cloud Services Recommendation System Based on Automatic Learning Techniques

Djiroun¹,

Guesssoum²,

Boukhalfa³

et al. 2017

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)

View full text Add to dashboard Cite

The Cloud Computing technology is evolving constantly but essence remains the same that is to offer distinct cost saving opportunities by consolidating and restructuring information technology as a service. With the continuously increasing cloud provisions, cloud consumers start to have difficulties to find the best relevant services that suit their requirements. Therefore, selecting best services by cloud users is becoming a greater challenge. In this paper, we present a framework of services' recommendation system in a Cloud environment, using automatic learning techniques. The system aims at finding the services that suit the interests and preferences of cloud consumers by combining content based and behaviour based recommendations. In this paper, we present, USTHB-CLOUD, a cloud services recommendation prototype evaluated with an experimental study.

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A Blog Personality Recommender System Based on Cloud Computing Infrastructure

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Cited by 7 publications

References 8 publications

E-learning Recommendation System Based on Cloud Computing

E-learning Recommendation System Based on Cloud Computing

A Novel Cloud Services Recommendation System Based on Automatic Learning Techniques

A Novel Cloud Services Recommendation System Based on Automatic Learning Techniques

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