A framework for recommending online videos operates by constructing user profiles as an aggregate of tag clouds and generating
recommendations according to similar viewing patterns. For this the techniques used by us are the Online Video Recommendation
which recommends the users according to his patterns and the data is suggested by the help of the protocols Tag- Cloud
Cosine and Tag Cloud Similarity ranking.
The exclusive feature of paper is it recommends offering the user an option that the user can only pay the amount for the resources
which they had used by this feature users are given more advantage.
Online Video Recommendation, Tag-Cloud Cosine, Tag Cloud Similarity ranking