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A hybrid recommendation model in social media based on deep emotion analysis and multi-source view fusion
2020
Journal of Cloud Computing: Advances, Systems and Applications
The recommendation system is an effective means to solve the information overload problem that exists in social networks, which is also one of the most common applications of big data technology. Thus, the matrix decomposition recommendation model based on scoring data has been extensively studied and applied in recent years, but the data sparsity problem affects the recommendation quality of the model. To this end, this paper proposes a hybrid recommendation model based on deep emotion
doi:10.1186/s13677-020-00199-2
fatcat:wn5xlhmz5nczdgmstwye3xrh7q