A Study of Applying Feature-Weighting Clustering to Recommender Systems

• Main Authors: Chia-Ying Tseng, 曾嘉楹
• Other Authors: Duen-Ren Liu
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/01449832520123092488

碩士 === 國立交通大學 === 資訊管理所 === 91 === In managing marketing activities, enterprises usually make marketing decisions according to different strategy subjects such as market holding ration or maximum profit. The weightings of features, including product category, unit price and customer data, may vary for different strategy subjects. Accordingly, applying data mining technique such as clustering to market analysis needs to consider the weightings of features. This work proposed a feature-weighting clustering approach to analyze various marketing strategy subjects via considering the weightings of features. Experimental evaluations were conducted to evaluate the effect of the proposed approach on three strategy subjects including market holding ratio, sale revenue and product recommendations.