It would be more flexible if every customer can initiate a group-buying project of his/her own for the item he/she personally needs in a convenient way. As a result, there will be multiple group-buying projects for multiple target items at the same time. To this end, several web page mining algorithms are proposed in this study to make every customer easily reach the web page he/she browses for a target item for group buying. The data of the item will be automatically extracted and uploaded onto a website which then informs every registered user of the group-buying project of this item. Requests for the same item will be combined, and there are always multiple target items on the website for group-buying at the same time. As a result, cross group-buying becomes convenient.
|頁（從 - 到）||291-297|
|期刊||International Review on Computers and Software|
|出版狀態||Published - 1 五月 2010|