By Yun Wan

Renowned between web shoppers, comparison-shopping offers a brand new revenues channel for small to medium businesses to cope with model identify proprietors. Comparison-Shopping companies and Agent Designs offers a set of finished examine articles at the most recent applied sciences concerned with on-line customer prone. This top-rated Reference resource presents e-commerce and agent expertise researchers, academicians, and practitioners with an invaluable review in addition to references to the most recent developments within the box.

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Extra resources for Comparison-Shopping Services and Agent Designs

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Users are often uncertain about buying a product. By employing a shopbot, they can often shift some of the psychological cost of making a decision to the agent. If the decision turns out to be not a very good one, the shopbot can be blamed, thereby minimizing the psychological risk in the purchase decision. In addition, when deploying shopbots users may not even be aware if the recommendation is only suboptimal. Shopbots may also help protect the users’ privacy as the search for product information can be anonymized.

Information integration using contextual knowledge and ontology merging. Massachusetts Institute of Technology, Cambridge, MA`. Gupta, A. (1998). Junglee: integrating data of all shapes and sizes. Paper presented at the Fourteenth International Conference on Data Engineering, Orlando, FL. , & Murray, K. B. (2003). Preference construction and persistence in digital marketplaces: The role of electronic recommendation agents. Journal of Consumer Psychology, 13(1&2), 75-91. , & Trifts, V. (2000). Consumer decision making in online shopping environments: the effects of interactive decision aids.

Next we discuss how shopbots can enhance the user’s online shopping experience. The following section presents a concise literature review of characteristic shopping agents and comparison shopping sites. The current technological limitations are also discussed. Section 4 provides a brief overview of the technologies behind Semantic Web Services. Next we present our vision of the third generation of shopbots and how semantic interoperability can be facilitated. The penultimate section describes the next step in the evolution of shopbots – personalization – and discusses the issues that need to be addressed in order for shopbots to truly work for the user.

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