Product recommendation method based on commodity aspect emotion mining and fuzzy decision

• Main Authors: FU XIANGLING, LIU SHAOHUI, LI JING, QI JIAYIN, OUYANG TIANXIONG
• Format: Patent
• Language: Chinese; English
• Published: 09.06.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the technical field of Internet, in particular to a product recommendation method and device based on commodity aspect emotion mining and fuzzy decision making, computer equipment and a storage medium, and the method comprises the steps: obtaining comment data of each to-be-sorted commodity, and extracting all feature word-viewpoint word pairs corresponding to each attribute from the comment data; based on the positive and negative emotional tendencies of each feature word-viewpoint word pair, calculating an interval type Pictgomery fuzzy number on each attribute of each commodity to form an emotional decision matrix; utilizing a Heronian operator to establish a comprehensive emotion decision matrix, preference of the user for each attribute and a scoring model ofcorrelation among the attributes; and obtaining a scoring result of each commodity by utilizing the scoring model, and sorting the commodities according to the scoring results. According to the method, by analyzing online com