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Nline commodity evaluation method based on ranked pairs social selection theory

An evaluation method and commodity technology, applied in business, data processing applications, electronic digital data processing, etc., can solve the problems that online commodity evaluation results cannot truly reflect commodity performance, low anti-manipulation ability, and do not meet the wishes of most users.

Inactive Publication Date: 2017-12-22
KUNMING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an online product evaluation method based on the Ranked Pairs social choice theory, which is used to solve the problem that the online product evaluation results obtained by the online product evaluation method in the existing e-commerce website assume that different users have the same evaluation preference. It really reflects the performance of the product, does not meet the wishes of most users, and has low anti-manipulation ability

Method used

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  • Nline commodity evaluation method based on ranked pairs social selection theory
  • Nline commodity evaluation method based on ranked pairs social selection theory
  • Nline commodity evaluation method based on ranked pairs social selection theory

Examples

Experimental program
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Effect test

Embodiment 1

[0053] Embodiment 1: as figure 1 As shown, an online product evaluation method based on the Ranked Pairs social choice theory, first calculates each user’s preference relationship for online products according to the user product rating matrix, and obtains the product product comparison matrix; then obtains the priority product pair according to the product product comparison matrix Sorting list; then construct a directed acyclic graph with commodities as nodes according to the ranking list of priority commodities; finally calculate the online commodity evaluation results according to the directed acyclic graph.

[0054] The specific steps are:

[0055] Step 1. Calculate each user's preference relationship for online products according to the user product rating matrix, and obtain a product product comparison matrix;

[0056] 1.1. Let the user set be U={u 1 , u 2 ,...,u m}, the product set is P={p 1 ,p 2 ,...,p n}, then the user commodity rating matrix is ​​R=[r ij ] ...

Embodiment 2

[0090] Embodiment 2: as figure 1 As shown, an online product evaluation method based on the Ranked Pairs social choice theory, first calculates each user’s preference relationship for online products according to the user product rating matrix, and obtains the product product comparison matrix; then obtains the priority product pair according to the product product comparison matrix Sorting list; then construct a directed acyclic graph with commodities as nodes according to the ranking list of priority commodities; finally calculate the online commodity evaluation results according to the directed acyclic graph.

[0091] The concrete steps of described method are as follows:

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Abstract

The invention, which belongs to the technical field of online product evaluation and group decision making, relates to an online commodity evaluation method based on a Ranked Pairs social selection theory. According to the method, according to a user-commodity score matrix, a preference relation, to an online commodity, of each user is calculated, thereby obtaining a commodity-commodity comparison matrix; on the basis of the commodity-commodity comparison matrix, a priority commodity pair ranking list is obtained; according to the priority commodity pair ranking list, a directed acyclic graph using a commodity as a node is constructed; and then calculation is carried out based on the directed acyclic graph to obtain an online commodity evaluation result. With full consideration of inconsistent evaluation preferences to online commodities by different users, the obtained evaluation ranking result reflects willingness of most of users and has high anti-manipulation ability, so that the user is assisted in making a purchasing strategy.

Description

technical field [0001] The invention relates to an online product evaluation method based on the Ranked Pairs social choice theory, belonging to the technical field of online product evaluation and group decision-making. Background technique [0002] With the development of e-commerce, consumers can conveniently buy their favorite products on e-commerce websites, but because each e-commerce website has a large number of different types of products or a large number of different sellers are selling the same product at the same time, there are product information overload. In this way, the user needs to search and compare repeatedly when choosing a favorite product, wasting a lot of time. To this end, in order to provide better shopping experience, major e-commerce websites provide users with a variety of online product ranking methods based on third-party evaluations to assist users in making their own purchase decisions. The above will refer to the sorting results obtained...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/00G06F17/30
CPCG06F16/9024G06Q10/0639G06Q30/016
Inventor 付晓东李俊刘骊刘利军冯勇
Owner KUNMING UNIV OF SCI & TECH
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