A knowledge-based product recommendation system for e-commerce. (20th April 2007)

• Record Type: Journal Article
• Authors: Prasad, Bhanu
• Is Part Of: International journal of intelligent information and database systems. Volume 1:Number 1(2007)
• Page Start: 18
• Page End: 36
• Publication Date: 2007-04-20
• Subjects: B2C e-commerce -- electronic commerce -- case-based reasoning -- CBR -- automated collaborative filtering -- ACF -- plan recognition -- PR -- CBRPR -- knowledge-based systems -- KBS -- intelligent product recommendation -- purchasing patterns -- simulation -- intelligent information; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

This paper presents a knowledge-based product recommendation system for Business-to-Customer (B2C) e-commerce purposes. The system is based on the observation that the purchase patterns of previous users play a vital role in recommending the products to new users if the new users already followed parts of the existing patterns. The system is based on Case-Based Reasoning Plan Recognition (CBRPR) approaches and Automated Collaborative Filtering (ACF) approaches. The system also addresses the issue of organising and utilising the information related to the products that are purchased repetitively by a user. The system is named RecommendEx and is tested in a simulated environment to test its operational performance. The evaluation results are included.