Optimisation Recommendation Method for Electricity Internet Targeted Information Resources Considering User′s Interest Degree

Power internet information resources are diversified and quantitative in nature, and simple one-way normalisation of information resources may result in some resources that are highly compatible with user interests not being identified and included in the push range, affecting the recommendation results. For this reason, under the premise of considering the user interest degree, a power Internet target information resource optimisation recommendation method is proposed. Based on the user′s interest degree, a behavioural function is established; the user′s corresponding behavioural preference feature information is integrated, the information resource data is bi-directionally normalized, and the user′s browsing preference weight is assigned; the enhanced bee colony algorithm is used to complete the preference information searching, and the optimal recommendation of information resources on the power Internet is realized. Tested: The method in this paper has the lowest prediction error and the lowest MAE value in the test set, and all evaluation indexes are better than the comparison method.