Abstract
Recommender systems are gaining a great popularity with the emergence of e-commerce and social media on the internet. These recommender systems enable users' access products or services that they would otherwise not be aware of due to the wealth of …
Cite
CITATION STYLE
APA
Okaka, R. A., Mwangi, W., & Okeyo, G. (2016). A Hybrid Approach for Personalized Recommender System Using Weighted TFIDF on RSS Contents. International Journal of Computer Applications Technology and Research, 5(12), 764–774. https://doi.org/10.7753/ijcatr0512.1006
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