saidziani/Feedny

The Internet plays an increasingly important part in our daily lives as a source of written content for news and leisure. Yet it is tedious and difficult to sort through this staggering flow of information and stay updated with changes in our world, even using automated tools. Reading magazines and newspapers is too time-consuming, and there is a huge amount of online content that is updated or generated each minute. Our solution considers each user’s interests and leverages Artificial Intelligence, Machine Learning and Natural Language Processing in order to suggest to relevant articles from the internet.

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Experimental

Builds user interest profiles through explicit preference selection and implicit feedback mechanisms, then applies NLP-based content filtering to rank articles from aggregated RSS feeds. The platform delivers a personalized press review via a multi-language mobile interface, with backend processing handling article ingestion, text analysis, and recommendation ranking.

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Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 9 / 25
Community 6 / 25

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Stars

29

Forks

2

Language

JavaScript

License

GPL-3.0

Last pushed

Jan 01, 2019

Commits (30d)

0

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