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AGGREGATION OF ON-LINE AUCTION LISTING AND MARKET DATA FOR USE TO INCREASE LIKELY REVENUES FROM AUCTION LISTINGS

机译:在线拍卖清单和市场数据的汇总,用于增加从拍卖清单中获得的收入

摘要

A web crawling engine (110) is configured to mine auction web sites (120) for auction market data. On-line auction market data are aggregated for use in determining how to best list an item for sale through an on-line auction. The market data include listing options (e.g., duration, opening bid) as well as data descriptive of the auction's progress (e.g., current bid). Auction market data can also be actively accumulated by actively listing items at auction, varying the listing options, and monitoring the same auctions. Data is analyzed to identify correlations between item listing options and desirable auction results, such as closing bid price. A multivariable curve fitting is performed based upon the accumulated data to create a function that yields auction revenue as a function of listing options. A set of options that corresponds to the maxima of this function is identified as an optimal set of listing options for a product.
机译:网络爬行引擎(110)被配置为挖掘拍卖网站(120)以获取拍卖市场数据。汇总在线拍卖市场数据以用于确定如何通过在线拍卖最佳地列出要出售的物品。市场数据包括列表选项(例如持续时间,开标)以及描述拍卖进度的数据(例如当前出价)。拍卖市场数据也可以通过在拍卖中主动列出项目,更改列表选项并监视相同的拍卖来主动累积。分析数据以识别项目列表选项和理想的拍卖结果(如最终出价)之间的相关性。基于累积数据执行多变量曲线拟合,以创建产生拍卖收益作为上市选项的函数的函数。与此功能的最大值相对应的一组选项被标识为产品的最佳列表选项集。

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