Personalized Web Recommender System based on Collaborative Filtering
Main Article Content
Abstract
It has become much more difficult to access relevant information from the Web with the explosive growth of information available on the World Wide Web. One possible approach to solve this problem is web personalization. The objective of personalization built on Web usage mining is to recommend a set of objects to the current user, possibly consisting of links, ads, text, products, or services, tailored to the user’s perceived preferences as determined by the matching usage patterns.
DOI: 10.17762/ijritcc2321-8169.150695
DOI: 10.17762/ijritcc2321-8169.150695
Article Details
How to Cite
, M. P. M. M. (2015). Personalized Web Recommender System based on Collaborative Filtering. International Journal on Recent and Innovation Trends in Computing and Communication, 3(6), 3960–3961. https://doi.org/10.17762/ijritcc.v3i6.4571
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Articles