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A More Scalable Comparision Shopping Agent (2000)
| Content Provider | CiteSeerX |
|---|---|
| Author | Ham, Hosang Kim, Joongbae Choi, Joongmin Yang, Jaeyoung Lee, Kyeongho |
| Description | In Proc' EIS2000 Engineering of Intelligent Systems |
| Abstract | Comparison shopping is a merchant brokering process that provides the information about a specific product from several distributed shopping mall sites. The implementation of a comparison shopping agent is a challenging issue mainly because different on-line shopping malls employ their own way of organizing interface components, processing user queries, and displaying search results on the browser. In most of the previous comparsion shoppers, a human designer manually builds the wrapper for each shopping mall that contains rules for extracting product information. This approach is not scalable since the designer must build a wrapper by hand for each new shopping mall. Scalable comparison shoppers such as ShopBot have been suggested that automatically build the wrapper through learning, but since these systems assume some regularities and strong biases, many real-world shopping malls are unable to be recognized. This paper proposes a more scalable comparison shopping agent. Our system ... |
| File Format | |
| Publisher Date | 2000-01-01 |
| Access Restriction | Open |
| Subject Keyword | Different On-line Shopping Mall Many Real-world Shopping Mall Scalable Comparison Shopper Product Information Search Result Mall Site Specific Product Comparison Shopping Agent Interface Component Scalable Comparision Shopping Agent User Query New Shopping Mall Comparison Shopping Previous Comparsion Shopper Scalable Comparison Shopping Agent Shopping Mall Human Designer Challenging Issue Strong Bias |
| Content Type | Text |
| Resource Type | Article |