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2018 | OriginalPaper | Chapter

Multi-agent Web Recommender System for Online Educational Environments

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Abstract

In our research work we plan to develop a Multi-agent based Recommender System to help e-learning systems recommend the more appropriate learning resources to students. In our approach we will explore the multi-agent technology potentialities to build a solution where multiple collaborative and content filtering algorithms, working together, leads to a higher performance solution than that obtained with individual algorithms.

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Literature
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Metadata
Title
Multi-agent Web Recommender System for Online Educational Environments
Author
Joaquim Neto
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-61578-3_46

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