Research on application of short video recommendation model based on collaborative filtering algorithm
In order to further improve the video recommendation effect of short video platform,a short video recommendation sys-tem is constructed based on collaborative filtering algorithm.Among them,singular value decomposition(SVD)and penalty are intro-duced to optimize the traditional collaborative filtering algorithm,and the performance of the algorithm is improved to some extent.The experimental results show that,compared with the traditional collaborative filtering algorithm,the improved collaborative filtering algorithm proposed in this study has better performance,and the RMSE value of the algorithm result is only 0.948;Compared with the traditional recommendation model,the short video recommendation model proposed in this study based on the improved collaborative filtering algorithm can more accurately predict the user's video score,and then can more accurately recommend short videos that meet the user's preferences.The above conclusions show that using the recommendation model proposed in this study can achieve better recommendation effect,and can recommend videos more in line with users'preferences,which has certain practical application val-ue.
short video platformrecommended algorithmcollaborative filtering algorithm
万方数据
维普
