Abstract
Information-intensive Web services such as price comparison sites have recently been gaining popularity. However, most users including novice shoppers have difficulty in browsing such sites because of the massive amount of information gathered and the uncertainty surrounding Web environments. Even conventional price comparison sites face various problems, which suggests the necessity of a new approach to address these problems. Therefore, for this study, an intelligent product search system was developed that enables price comparisons for online shoppers in a more effective manner. In particular, the developed system adopts linguistic price ratings based on fuzzy logic to accommodate user-defined price ranges, and personalizes product recommendations based on linguistic product clusters, which help online shoppers find desired items in a convenient manner.
Highlights
The Internet is a fundamental infrastructure that integrates distributed and heterogeneous networks, communication, and information systems to provide information-convergent computing environments [1]
A good example is a price comparison site (PCS), providing online shoppers with opportunities to acquire a wide range of information on various products
It is well known that a PCS can help online shoppers reduce the amount of time or effort required when searching for products online [7,8,9,10]
Summary
The Internet is a fundamental infrastructure that integrates distributed and heterogeneous networks, communication, and information systems to provide information-convergent computing environments [1]. A good example is a price comparison site (PCS), ( known as shopbots or comparative shopping agents), providing online shoppers with opportunities to acquire a wide range of information on various products. It is well known that a PCS can help online shoppers reduce the amount of time or effort required when searching for products online [7,8,9,10] Such sites are generally designed to focus mainly on the needs of ‘‘expert’’ shoppers. Conventional PCSs are generally suitable for direct searches, which focus on locating the required information on specific products, but do not effectively support browsing, which focuses on finding ‘‘something useful.’’. An intelligent product search system was developed that enables PCSs to support novice shoppers by accommodating user-defined price ranges.
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