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Journal ArticleDOI

Educational Data Mining and Recommender Systems Survey

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This article is published in International Journal of Web Portals.The article was published on 2018-01-01. It has received 7 citations till now. The article focuses on the topics: Educational data mining & Recommender system.

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Citations
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Journal ArticleDOI

Comparative study of recommender system approaches and movie recommendation using collaborative filtering

TL;DR: In this paper, a movie recommendation based on collaborative filtering and singular value decomposition plus-plus (SVD++) is proposed, which is compared with well-known machine learning approaches namely k nearest neighbor (K-NN), SVD and Co-clustering.
Journal ArticleDOI

Rec-CFSVD++: Implementing Recommendation System Using Collaborative Filtering and Singular Value Decomposition (SVD)++

TL;DR: In recommender systems, Collaborative Filtering plays an essential role in promoting recommendation services and the conventional CF approach has limitations, namely data sparsity and cold-start problems.
Journal ArticleDOI

Collaborative Filtering with Temporal Features for Movie Recommendation System

TL;DR: Wang et al. as discussed by the authors proposed a collaborative filtering model for movie recommendations that include temporal effects, and evaluated their model on a standard dataset (Movielens) and compared it with state-of-the-art models.
Journal ArticleDOI

Analyzing and Optimizing the Usability of Website Access

TL;DR: This work proposes a novel hybrid policy called popularity-aware modified least frequently used (PMLFU) that best suits for the current proxy-based web caching environment and combines features such as frequency, recency, popularity, and user page count in decision-making policy.
References
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Journal ArticleDOI

Recommender systems survey

TL;DR: An overview of recommender systems as well as collaborative filtering methods and algorithms is provided, which explains their evolution, provides an original classification for these systems, identifies areas of future implementation and develops certain areas selected for past, present or future importance.
Journal ArticleDOI

Data mining: an overview from a database perspective

TL;DR: In this paper, a survey of the available data mining techniques is provided and a comparative study of such techniques is presented, based on a database researcher's point-of-view.
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Educational Data Mining: A Review of the State of the Art

TL;DR: The most relevant studies carried out in educational data mining to date are surveyed and the different groups of user, types of educational environments, and the data they provide are described.
Journal ArticleDOI

Educational data mining: A survey from 1995 to 2005

TL;DR: This paper surveys the application of data mining to traditional educational systems, particular web- based courses, well-known learning content management systems, and adaptive and intelligent web-based educational systems.
Proceedings ArticleDOI

The State of Educational Data Mining in 2009: A Review and Future Visions

TL;DR: This paper reviewed the history and current trends in the field of EDM and discussed trends and shifts in the research conducted by this community, and discussed the increased emphasis on prediction, the emergence of work using existing models to make scientific discoveries, and the reduction in the frequency of relationship mining within the EDM community.
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