Abstract
Preference Elicitation is very important for online shopping interactive applications. The potential buyers usually have interest in some of the attributes of the product they want to purchase. While the current online shopping systems allow the users to provide some keywords and other information in order to ?lter and get only what they need, these latter feel that what they get does not necessarily meet their satisfaction. In this paper, we propose a new shopping system that enables the customers to express their needs when buying a product online. More precisely, the users are given the ability to provide their requirements and desires in a friendly and interactive way. The system will then provide a list of suggestions meeting the users’ requirements and maximizing their desires. Requirements and desires are managed, in a unique model, respectively as a set of hard constraints and preferences where these latter can be quantitative (numerical), qualitative (ordinal) or both. These constraints and preferences represent a constraint optimization problem where optimal solutions (best outcomes) are those satisfying the hard constraints and maximizing the user’s preferences. The branch and bound method is applied in order to provide the user with a list of best outcomes.
Highlights
Many online systems involve some interaction with the users in order to understand and answer their needs
We proposed an online shopping system based on user preferences and constraints
We considered the case where user preferences can take qualitative, quantitative or both forms
Summary
Many online systems involve some interaction with the users in order to understand and answer their needs. Maximizing user satisfaction can be done by taking his/her desires/preferences into consideration when he/she is looking for a given item. In the current shopping systems, shoppers might face a difficult time to get an appropriate product among a huge set of possibilities of outcomes They have the impression that their preferences and needs are not taken into consideration by the system. This has motivated us to develop an online shopping system taking into account the problem requirements and maximizing the users desires. Requirements and desires are managed, in a unique model, respectively through a set of hard constraints and preferences where these latter can be quantitative (numerical), qualitative (ordinal) or both.
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