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USER ORIENTED ONLINE CONTENT OPTIMIZATION
Journal of Innovative Research and Solutions
In recommender systems, user interaction will play an important role. During the prior analysis and studies the algorithmic recommender systems pointed the modeling approaches and enhancement for the future. The basis for designing and training the recommendation algorithms are formed by the feedback implicitly given the user and user ratings provided explicitly on the recommended items. But the user interactions in the web applications are ideal for the models provided in prior. To identifyfatcat:74wv7tdri5ctdbid6ii4srlbyu