Cross-platform Fusion Of Multimodal Features Design And Implementation Of User Alignment System

The rapid development of social networks provides users with convenient and rich social network services.By predicting the same natural person on different networks,service providers can provide targeted customized services through the differentiated information of the same user on different social networks,so cross-platform user alignment is an effective solution.The current social network user alignment algorithm is not suitable for practical application scenarios with large noise and complex structure,which limits the development of customized services and affects the service experience of users using social networks.Aiming at the problem of insufficient utilization of multimodal data features in social networks,a cross-platform user alignment model integrating multimodal features is proposed.The model is based on multialgorithm combination and a multi-level attention mechanism that focuses on the amount of information.Through the fusion of different types of data and data features of different modalities in the same modality,the accuracy of user feature representation is improved,and user alignment is realized.Comparative experiments and default experiments show that the hit rate of user alignment recognition of this model has a better performance in multimodal scenarios.Aiming at the problem of misidentifying users with the same interests and different stances,a user alignment model that integrates stance features is proposed.The model extracts user interest topics from user text data,and obtains the stance distribution of user interest topics through the stance detection algorithm.Design and implement a conflicting user detection algorithm to reduce the false recognition rate of users with the same interests and different positions.Experiments show that the hit rate of the alignment model can be further improved by combining and applying a cross-platform user alignment model that fuses multimodal features.In order to verify the effectiveness and usability of the designed model,a cross-platform user alignment system incorporating multimodal features is designed and implemented.The system test results show that the system functions meet the application requirements.