• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Evaluation of Clustering Techniques for News Recommendation

Evaluation of Clustering Techniques for News Recommendation

Paperback

Networking

ISBN10: 6208442435
ISBN13: 9786208442439
Publisher: LAP Lambert Academic Publishing
Published: Apr 16 2025
Pages: 60
Weight: 0.21
Height: 0.14 Width: 6.00 Depth: 9.00
Language: English
The information overloading is one of the most significant issues nowadays. It can be seen in different domains, consisting of business, particularly in news. This is more important in link to news websites and web, where the news websites reliability is typically determined by quantity of news added to the portal. Then the most popular news websites include numerous of news articles daily. The classical solution generally used to address the information overloading is a recommendation. In this book we evaluate the MapReduce k-means and fuzzy k-means clustering for a content-based recommendation for news articles, based on Euclidian distance and cosine similarity search. This approach consists of two phases of operation.

Also from

Gatla, Ranjith Kumar

Also in

Networking