Title :
Selection of Sporting Goods with Vague Set
Author :
Tao, Jian ; Yang, Sumei
Author_Institution :
Dept. of Phys. Educ., Zhengzhou Normal Univ., Zhengzhou, China
Abstract :
As a sunrise industry, sporting goods industry is rapid growth in E-commerce. Information overload become an important issue in this situation. Recommendation system is a good way to solve this problem. In order to find a recommendation strategy for sporting goods in E-commerce, Vague Sets, Gaussian function and characteristics of uncertainty were used to represent sporting goods features with Vague value in this paper. On this basis, the general steps of recommendation strategy with Vague Sets were given, in order to get a new idea and method to decision-maker. Finally, recommender formula is given, which will be conducive to the work of the actual recommendation strategy.
Keywords :
Gaussian processes; consumer behaviour; decision making; electronic commerce; fuzzy set theory; information retrieval; recommender systems; sports equipment; sportswear; Gaussian function; customer preference; decision making; e-commerce; fuzzy sets; information overload; marketing; recommendation strategy; recommendation system; recommender formula; sporting goods feature; sporting goods industry; sporting goods selection; sunrise industry; uncertainty characteristics; vague set; vague value; Adaptive filters; Companies; Industries; Packaging; Recommender systems; Uncertainty; Recommendation strategy; Similarity; Sporting Goods; Vague Sets;
Conference_Titel :
Internet Computing for Science and Engineering (ICICSE), 2012 Sixth International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4673-1683-5
DOI :
10.1109/ICICSE.2012.53