We develop an on-line shopping assistant that can help a e-shopper to select a product from many on-line shops based on the personal preference. The shopping assistant is developed based on value networks which extend Bayesian networks with user preference. On-line shopping of bicycles is used as the application domain.

This paper is based on theory of reasoned behavior and trust.Factors which influence the online shopping are studied. This research establishs the trust model of online shopping. Trust is analysed and stressed.The model is verified by SPSS16.0 and LISREL8.7 .Finally,this paper puts forward the measures about promoting trust to facilitate online shopping.

Online shopping has revolutionized our daily lives in the modern era. We can purchase needed goods on mobile applications (apps) anytime and anywhere without leaving home. Especially during COVID-19 pandemic, we have become increasingly dependent various activities. However, visual design of app interface often affects user’s interactive experience efficiency browsing product information. In ad...

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 brow...

How to bid on a Google shopping account (set of shopping campaigns) with query-level matching like in Google Adwords.

I. WHY FORUM SHOPPING IN CHAPTER 11 CASES EMBARRASSES THE SYSTEM ................................ II. METHODOLOGY .......................................... A. Case Selection ...................................... B. Variable Definitions and Data Sources .............. 1. Defining Forum Shopping ......................... 2. Measuring Case-Processing Time .................. 3. Categorizing Case ...

Our intelligent shopping assistant, Ma$$ive, is a web application for mobile phones that aims to help users with their everyday grocery shopping by offering features such as natural language shopping lists, product recommendations, special offers, recipes and in-shop navigation. This short paper briefly describes the current and planned features of Ma$$ive.

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