Summary: | 碩士 === 國立臺北科技大學 === 資訊與財金管理系碩士班 === 103 === With the formation of China in recent years with the popularity of e-commerce market, the online auction service favored by the market very quickly, because of the low barriers to entry online auction, and the process transparent and to facilitate the rise of online auction has become a new wave trend. Consumers have begun to get these depreciation of goods sold on the web path, and then used commodity derivatives market auction.
Items currently sold at auction site sellers, due to lack of market judgment and sales experience, so on the Internet auction of goods, an obstacle to trade on many, especially online bargain bargaining often lack effective bargaining strategies, for the the sale of second-hand goods online auction market pricing is based on lack of residual value or formula in the sale of second-hand goods, often the hardest part is reasonable pricing, which leads to the bargaining results are not satisfactory.
In this study, Taiwan&;#39;s major online auction sites will collect a large number of second-hand goods data, use of large amounts of data mining, sorting, and raised two valuation models for valuation of operation through this research; and respectively the similarity interpolation model . Its similarity model, through the comparison between the level of goods and merchandise attributes similarity copyright heavier than the reference price to assess the valuation of goods to do so may be the lack of complete information on the goods (such as: lack of marque, is a nature ) valuation; another interpolation model, with reference to users of the commodity ranking competitions, calculated on the basis of price and price appraisal rank by linear interpolation. Making the valuation model proposed in this study can estimate the residual value of any commodity depreciation.
Finally, through a similar assay to compare the extent of the experimental and control groups ratio of test subjects to second-hand computer components and SLRs do, for example, to verify the merits of the valuation results, experimental results on the similarity and interpolation model As a result, the overall similarity ratio are above 0.7, indicating that the valuation model to estimate the price be very close to their real market value, and then confirm the accuracy of the valuation methods proposed Institute. We hope to further develop a pricing valuation models to meet consumer secondary market, reinforcing the secondary market price estimate on the elaboration of deficiencies in order to assist traders to complete online transactions more efficiently.
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