Copeland social selection theory-based online commodity group evaluation method
An evaluation method and product technology, applied in the field of online product and social choice theory, can solve problems such as complex operation
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Embodiment 1
[0050] Embodiment 1: An online product group evaluation method based on Copeland's social choice theory, first fills incomplete consumer-commodity rating matrix based on the similarity between consumer historical ratings; then establishes each The preference relationship of consumers for online commodities is summarized and expressed as a commodity-commodity preference comparison matrix; finally, Copeland’s social choice theory is used to compare the commodity preferences in the commodity-commodity preference comparison matrix one by one, and the statistical win is calculated according to the comparison results. The number of losses, build a win-lose matrix, and sort the difference between wins and losses to achieve online commodity group evaluation.
[0051] The specific steps are:
[0052] Step 1. Fill the incomplete consumer-commodity rating matrix based on the similarity between consumer historical ratings;
[0053] 1.1. Let the set of consumers be U={u 1 , u 2 ,...,u ...
Embodiment 2
[0075] Embodiment 2: as figure 1 As shown, an online commodity group evaluation method based on Copeland’s social choice theory, first fills the incomplete consumer-commodity rating matrix based on the similarity between consumers’ historical ratings; The user’s preference relationship for online commodities is summarized and expressed as a commodity-commodity preference comparison matrix; finally, Copeland’s social choice theory is used to compare the commodity preferences in the commodity-commodity preference comparison matrix one by one, and the winners and losers are counted according to the comparison results. times, construct a win-lose matrix, and sort the difference between wins and losses to realize group evaluation of online commodities.
[0076] 1. Check whether the consumer-product rating matrix is complete. If it is not complete, you need to fill in the data set first. Suppose there is a consumer-commodity rating matrix S=[R a×b ] 6×5 , as shown in Table 5: t...
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