The Application Of Social Recommendation Algorithm Integrating Attention Model In Movie Recommendation

This article discusses the development of a social movie recommendation algorithm based on an attention model. The algorithm, called Recommendation Algorithm Based on User Preference and Social Influence (UPSI), starts from two perspectives: the dynamic changes in user preferences and the social relationships of users. It uses a gated recurrent neural network to model user project interaction information and mine user project preference features, and an attention mechanism to learn the social influence preference features of the target user. Finally, Top K recommendations for the user are provided by combining the user’s project preference features with their social influence preference features.