High-quality electric power package recommendation method based on improved collaborative filtering algorithm
A technology of collaborative filtering algorithm and recommendation method, which is applied in the field of intelligent electricity sales, can solve problems such as cold start and low accuracy, and achieve the effect of increasing accuracy, avoiding one-sidedness, and solving cold start problems
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[0050] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. The flow chart of the high-quality power package recommendation method based on the improved collaborative filtering algorithm proposed by the present invention is as follows figure 1 As shown, the specific process is as follows:
[0051] Step 1: Users score the package according to their own needs to obtain explicit demand scores, and analyze the behavior preferences of target users to obtain users' implicit demand scores. The explicit and implicit needs are fused to obtain the explicit and implicit package rating matrix based on user needs.
[0052] Dominant demand scoring: Users score high-quality power packages based on past power quality problems and demand for high-quality power. In active and subjective situations, the data obtained by scoring projects based on their own needs is called explicit demand scoring data. use Domina...
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