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Research Proposal on Explicit and Implicit Feedback-Aware Top-N Recommendation

Research Proposal on Explicit and Implicit Feedback-Aware Top-N Recommendation

The recommendation system is a widely used information filtering system designed to recommend preferred items to the user based on user interest. Particularly, Personalization in recommendation system yields customized preferences for the user based on the user-s historical data on the desired item. Explicit and implicit feedback are techniques to produce improvised suggestions in a personalized recommendation system. The explicit feedback technique provides the recommendation based on the user tendency of the items given by the user whereas, implicit feedback provides the suggestion based on the information gathered by observing user behavior. Most of the classic recommendation system focuses on explicit feedback, which limits the performance of the recommendation system. Integrating both explicit and implicit feedback information achieves effective analysis of user information. The personalized recommendation system with explicit and implicit results produces better top-N outstanding recommendations.