Analysis of Precision Service of Agricultural Product e-Commerce Based on Multimodal Collaborative Filtering Algorithm

Table 2

Pseudo-code of improved collaborative filtering recommendation algorithm.

Serial number	The pseudo-code
1	Input: target user x, user similarity threshold γ
2	Split the data set, 75% of the data set is used as the training set TrainSets, and the rest is used as the test set TestSets
3	If TrainSets = , go to step 9
4	Else take any y  TrainSets and calculate sim’ users (x, y)
5	For , y ∈ TrainSets
6	If sim’ users (x, y)≥γ
7	Nearest NeighborSets = NearestNeighborSets {y}, TrainSets = TrainSets-y
8	Else TrainSets = TrainSets-y, go to step 3
9	Read TestSets
10	According to the nearest neighbor set, generate the recommendation list RecommendationLists of x
11	Algorithm ends