Intelligent spider for information retrieval to support mining-based price prediction for online auctioning

A procedure using support vector data description and mutual information for end price assessment in online C2C auction

“…These points are called the basic support vectors for the dataset. When C > 1, no support vector exists for because of the condition in (4). Now using the relationships from (4) to (6), rearranging and cancelling the appropriate terms (for details see [3]), we rewrite (3) as…”

“…He defines price insurance as a service that offers insurance to auction sellers that guarantees a price for their goods, for an appropriate premium. In a more recent work, Chan develops two software programs (1) a URL searching agent to automatically collect related information whenever user searches a specific product and (2) an auction data agent that performs data clustering and price prediction using the collected information [4].…”

“…Collecting these data through well designed spiders [6,28], cleaning the data, and extracting the relevant features by applying text mining techniques [22] are tedious tasks. Researcher have used these data for various purposes such as understanding the buyers' behavior [1], detecting anomalies such as shill bidding [9], analyzing the effect of different auction attributes on the final price [12], predicting the final price [1,4,7,12,18,22,24,25,28], suggesting bidding strategies [17], and designing bidding agents [27]. For example, Bajari and Hortacsu use a dataset of eBay coin auctions to find the determinants of bidder and seller behavior [1].…”

“…C-2-C auctions are of the former type. In the past many attempts have been made to predict the final price in online C-2-C auctions [1,4,7,12,18,22,24,25,28]. Price of the items having similar features may decrease (/increase) with the decrease (/increase) in the numbers of the bidders.…”

An ontological website models-supported search agent for web services

“…UbiCrawler (Boldi, Codenotti, Samtini, & Vigna, 2004), a scalable distributed web crawler, is platform independent, linear scalability, graceful degradation in the presence of faults, a very effective assignment function for partitioning the domain to crawl, and more in general the complete decentralization of every task. Chan (2008) proposes an intelligent spider that consists of a URL searching agent and an auction data agent to automatically correct related information by crawling over 1000 deals from Taiwan's eBay whenever users input the searched product. Finally, Google adopts a PageRank approach to rank a large number of webpage link information and pre-record it for solving the problem (Brin & Page, 1998).…”