Multi-channel user interface generation method based on conflict degree and collaborative filtering

Aiming at the problems of low recommendation accuracy, low success rate of interactive control and long time of traditional recommendation methods, a multi-channel user interface generation method based on conflict degree and collaborative filtering is proposed. Firstly, the evidence optimality and binary comparison matrix of user behaviour are determined, and the evidence conflict degree of user behaviour is calculated using the weight calculation results, and user behaviour recognition is realised according to the evidence characteristics. Secondly, collaborative filtering is adopted to implement user interface pattern recommendation. Finally, according to the recommended user interface model, a multi-channel user interface generation framework is constructed, including user task decomposition, multi-channel interaction control and interface code determination. Experimental test results show that the maximum accuracy of user interface pattern recommendation using proposed method is 98.36%, the average success rate of multi-channel interaction control is 97.35%, and the minimum time for multi-channel user interface generation is 1.8 s.