[Retracted] Implementing Machine Learning for Supply-Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing

Algorithm 1

Recommendation and optimized searching.

	Input: number of items to be recommended ,
	Number of neighbors used for ranking ,
	User to recommend items to u,
	List of all items Items,
	User-Item matrix of ratings R
	Output: N items to be recommended
	foreach itemItems do
	if itemu.rated_items then
	item.rank rank.according_to_nearest_neighbors (k, u, item)
	descending_rank_sort (Items)
	return top (N, Items)