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Research Proposal for Hybrid Deep Learning based Recommendation

Research Proposal for Hybrid Deep Learning based Recommendation

The recommendation system utilizes deep learning techniques to learn hidden features of users and items from huge data and subsequently construct a recommendation model, finally generating effective recommendations for the user. Deep learning-based recommendation system outperforms conventional recommendation system due to their capabilities such as non-linear transformation, representation learning, sequence modeling, and flexibility. Most of the existing deep learning approaches for recommender systems focus on either user-s auxiliary information or item-s textual information. A new hybrid model approach with deep learning techniques aims to capture auxiliary information for user-s personal preferences and item-s textual information for different user-s interactions related to items. A hybrid deep learning-based recommendation system significantly enhances prediction accuracy and recommendation performance by exploring both user-s preferences and items attractiveness.