A Preference-Aware Interactive System for Online Shopping | Zendy

Eisa Alanazi | Zendy; Malek Mouhoub | Zendy; Bandar Mohammed | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Preference-Aware Interactive System for Online Shopping

Author(s) -

Eisa Alanazi,

Malek Mouhoub,

Bandar Mohammed

Publication year - 2012

Publication title -

computer and information science

Language(s) - English

Resource type - Journals

eISSN - 1913-8997

pISSN - 1913-8989

DOI - 10.5539/cis.v5n6p33

Subject(s) - computer science , preference , set (abstract data type) , product (mathematics) , constraint (computer aided design) , preference elicitation , order (exchange) , human–computer interaction , mechanical engineering , geometry , mathematics , finance , microeconomics , engineering , economics , programming language

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research